Location: Portugal
Workplace: remote
About the Role
We are looking for a
Senior UI/UX Designer – AI
to help define the next generation of intelligent experiences across Intermedia's products.
In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of
UX strategy, interaction design, generative AI, conversational experiences, and enterprise software
, turning sophisticated AI capabilities into simple experiences that solve real customer problems.
You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis.
This is not simply a role for adding AI features to existing interfaces. You will help define
how users interact with AI across our products
, including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences.
Key Responsibilities
AI Experience Design
Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces.
Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation.
Design experiences for emerging
agentic AI
capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users.
Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users.
Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality.
Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention.
Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take.
UX & Product Design
Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization.
Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors.
Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs.
Develop and validate design hypotheses through rapid prototyping and user testing.
Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation.
Use qualitative and quantitative data to evaluate experiences and recommend improvements.
Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes.
AI Trust & Responsible Design
Design AI experiences that establish appropriate levels of
trust, transparency, and user control
.
Clearly distinguish AI-generated information and actions where appropriate.
Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request.
Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions.
Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results.
Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience.
Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products.
Design Systems
Contribute to and evolve Intermedia's design system to support AI-powered experiences.
Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows.
Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features.
Maintain consistency across products while identifying where emerging AI interactions require new design paradigms.
Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented.
Collaboration & Leadership
Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers.
Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities.
Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders.
Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience.
Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization.
Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences.
Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences.
Our Expectations
5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software.
A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving.
Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles.
Strong ability to analyze complex requirements and turn them into simple, elegant solutions.
Experience conducting or participating in user research and usability testing.
Strong proficiency with
Figma
, prototyping tools, and modern design-system practices.
Experience working closely with Product Management and Engineering in an Agile software-development environment.
Strong communication, presentation, collaboration, and stakeholder-management skills.
Ability to work effectively with ambiguity and rapidly evolving requirements.
Strong attention to detail while maintaining an understanding of the broader product and customer experience.
AI Experience & Knowledge
We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies.
The ideal candidate has:
Experience designing products or features powered by generative AI, machine learning, or intelligent automation.
Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences.
Familiarity with conversational UX and natural-language interfaces.
Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops.
Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users.
Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences.
A strong interest in experimenting with new AI tools and interaction models.
Advantages
Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products.
Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows.
Experience developing or contributing to large-scale design systems.
Experience with voice and multimodal interfaces.
Understanding of accessibility standards and inclusive design.
Familiarity with HTML/CSS and the technical constraints of modern web applications.
Experience using AI-assisted design and prototyping tools.
Experience working with globally distributed Product and Engineering teams.
What Success Looks Like
As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a
valuable and trusted customer experience
.
Success means:
Customers immediately understand how AI can help them.
Complex AI capabilities feel simple and natural to use.
Users remain informed and in control when AI recommends or takes actions.
AI features integrate seamlessly into existing customer workflows.
Common AI interaction patterns become consistent across Intermedia products.
Research and customer feedback meaningfully influence AI product decisions.
Product and Engineering teams view Design as a strategic partner in determining
what AI experiences should be built
, not simply how they should look.
Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.
Location: Portugal
Workplace: remote
UI/UX Designer 2 – AI
About the Role
We are looking for a
Senior UI/UX Designer – AI
to help define the next generation of intelligent experiences across Intermedia's products.
In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of
UX strategy, interaction design, generative AI, conversational experiences, and enterprise software
, turning sophisticated AI capabilities into simple experiences that solve real customer problems.
You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis.
This is not simply a role for adding AI features to existing interfaces. You will help define
how users interact with AI across our products
, including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences.
Responsibilities
AI Experience Design
Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces.
Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation.
Design experiences for emerging
agentic AI
capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users.
Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users.
Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality.
Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention.
Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take.
UX & Product Design
Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization.
Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors.
Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs.
Develop and validate design hypotheses through rapid prototyping and user testing.
Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation.
Use qualitative and quantitative data to evaluate experiences and recommend improvements.
Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes.
AI Trust & Responsible Design
Design AI experiences that establish appropriate levels of
trust, transparency, and user control
.
Clearly distinguish AI-generated information and actions where appropriate.
Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request.
Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions.
Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results.
Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience.
Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products.
Design Systems
Contribute to and evolve Intermedia's design system to support AI-powered experiences.
Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows.
Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features.
Maintain consistency across products while identifying where emerging AI interactions require new design paradigms.
Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented.
Collaboration & Leadership
Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers.
Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities.
Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders.
Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience.
Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization.
Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences.
Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences.
Our Expectations
5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software.
A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving.
Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles.
Strong ability to analyze complex requirements and turn them into simple, elegant solutions.
Experience conducting or participating in user research and usability testing.
Strong proficiency with
Figma
, prototyping tools, and modern design-system practices.
Experience working closely with Product Management and Engineering in an Agile software-development environment.
Strong communication, presentation, collaboration, and stakeholder-management skills.
Ability to work effectively with ambiguity and rapidly evolving requirements.
Strong attention to detail while maintaining an understanding of the broader product and customer experience.
AI Experience & Knowledge
We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies.
The ideal candidate has:
Experience designing products or features powered by generative AI, machine learning, or intelligent automation.
Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences.
Familiarity with conversational UX and natural-language interfaces.
Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops.
Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users.
Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences.
A strong interest in experimenting with new AI tools and interaction models.
Advantages
Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products.
Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows.
Experience developing or contributing to large-scale design systems.
Experience with voice and multimodal interfaces.
Understanding of accessibility standards and inclusive design.
Familiarity with HTML/CSS and the technical constraints of modern web applications.
Experience using AI-assisted design and prototyping tools.
Experience working with globally distributed Product and Engineering teams.
What Success Looks Like
As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a
valuable and trusted customer experience
.
Success means:
Customers immediately understand how AI can help them.
Complex AI capabilities feel simple and natural to use.
Users remain informed and in control when AI recommends or takes actions.
AI features integrate seamlessly into existing customer workflows.
Common AI interaction patterns become consistent across Intermedia products.
Research and customer feedback meaningfully influence AI product decisions.
Product and Engineering teams view Design as a strategic partner in determining
what AI experiences should be built
, not simply how they should look.
Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're hiring a Customer Marketing, Startups Lead to own our strategy for how Anthropic shows up in market with the startups building on Claude, from early-stage founders to our largest AI-native customers. You'll figure out how we can help startups grow, and find creative ways to amplify their stories to inspire more companies to do the same.
This is a role for someone who has led marketing at a startup and knows what founders need. You'll work closely with our Startups account teams to decide where co-marketing will create real value for both the startup and Anthropic. For the startups we prioritize together, you'll work directly with founders and their teams as a marketing partner on channels and the joint messages we take to market. Many of these companies don't have big marketing teams yet, so you'll also advise them on storytelling and growth.
This role is deeply cross-functional. You'll work with Startups Sales leadership, Startup Partnerships, Segment Marketing, Field Marketing, Partner Marketing, Product Marketing, Brand, Comms, and Legal. You'll set direction with senior leaders here and at our customers, and lead a team of startups customer marketers while staying hands-on in the work yourself.
Key responsibilities
Own startups co-marketing, including deciding which startups and moments are worth investing in
Be a marketing partner to founders and CEOs on channels and joint messaging, and advise companies without built-out marketing teams on storytelling and growth
Partner with Startups Sales leadership and embed in the deal flow so you can see deals coming and plan how co-marketing can support them
Work with account teams on the market development funds (MDF) in startup contracts, and own how those funds are deployed
Build programs that bring co-marketing to hundreds of startups, beyond our top accounts
Set the bar for startup storytelling and find creative ways to amplify those stories, from case studies and founder films to content on how startups use Claude
Find opportunities to bring startups into Anthropic's launches and campaigns
Work with Startup Partnerships and Segment Marketing on the Claude Startups program and our relationships with VCs and accelerators
Build a feedback loop that shares what founders care about with Anthropic's leadership and GTM teams
Lead and develop a team of startups customer marketers
Minimum qualifications
Have been a trusted advisor to founders and CEOs, and enjoy working closely with them
Know when co-marketing will create real value for both companies, and when it won't
Are a strong storyteller and writer who can tell what makes a founder's story worth telling
Have a deep read on what startups want, and can quickly see what will help a small marketing team most
Have led senior cross-functional work across Sales, Marketing, Product, and Comms
Can influence teams you don't own, and are comfortable presenting to executives
Have strong taste and judgment, and can say no, including to senior leaders
Are a player-coach, comfortable setting direction for a team and doing the hands-on work yourself
Are comfortable with technical products and can talk credibly with technical founders
Can keep up with a fast pace
Already use Claude in your own work
Care about Anthropic's mission
Preferred qualifications
Have 12+ years in B2B marketing, including senior marketing leadership at a startup, like CMO, VP of Marketing, or Head of Marketing
Been a founder or an early marketing hire at a startup
Worked in AI, developer tools, or another technical category
Worked at a company that sells to startups
Built relationships with VCs and accelerators
A network of founders and startup marketing leaders
Run co-marketing programs with real budget behind them
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$400,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
岗位概述
我们正处于 AI 重塑金融基础设施的历史节点。作为
AI Agent 架构师
，你将成为 AI 智能体系的核心构建者——不只是编写代码，而是定义下一代金融级 Agent 如何感知市场信号、规划执行路径、记忆业务上下文与跨系统协作。你将主导打造可承载真实金融场景的 Agent 体系，覆盖交易辅助、风控研判、合规监察、用户智能服务等核心业务，让 AI 在加密金融的高速、高压、高合规环境中真正自主完成复杂任务。这里没有边界模糊的分工，有的是直接影响亿级用户体验的技术决策权，以及一支对 LLM 与 Agent 技术有极高密度认知的精英工程团队。
核心职责
Agent 体系架构设计
：主导设计 AI 智能体架构，定义 Agent 在 Openclaw 平台上的运行模型、生命周期管理与资源隔离策略；构建支撑交易辅助、风控研判、合规监察等金融核心场景的 Agent 能力基座，确保系统在高并发、低延迟、强合规约束下稳定运行。
金融场景 Agent 工程化落地
：将交易信号分析、风险识别、监管合规、智能客服等业务需求转化为可执行的 Agent 工作流；设计任务规划链路（ReAct / Plan-and-Execute）、异常回退机制与结果验证体系，推动 Agent 从 PoC 快速进入生产环境。
Openclaw 平台建设与演进
：深度参与 Openclaw Agent Runtime 的架构演进与性能优化；设计插件体系、能力注册中心与多 Agent 编排机制，降低业务团队接入成本，持续提升平台的扩展性与复用率。
工具生态与内部系统集成
：构建标准化工具调用框架，打通 Bybit 内部交易引擎、风控系统、数据平台与外部 API；设计工具权限管控、调用链追踪与错误恢复机制，集成 MCP 等标准协议，构建金融级异构工具生态。
生产质量与可观测性体系
：主导 Agent 系统的可观测性建设，包括 Trace 追踪、Evaluation 评测、成本监控与延迟治理；建立金融场景下的 Agent 质量基线与回归测试体系，持续提升系统稳定性与可解释性。
技术前瞻与团队赋能
：持续追踪 Agent 领域前沿进展，将研究成果转化为 AI 工程实践；制定团队 Agent 开发规范与最佳实践，通过 Code Review、技术分享与方向评审推动团队整体 AI-native 工程能力提升。
任职要求
扎实的 LLM/Agent 工程经验
：具备
3年以上
AI 系统开发经验，其中
1年以上
大型语言模型（LLM）、RAG 或 Agent 系统的生产环境落地经验；具备
Openclaw
平台的开发与优化实战经验，熟悉其 Agent Runtime 架构、插件体系与多 Agent 编排机制，能基于 Openclaw 独立完成复杂 Agent 应用的工程化落地与性能调优。
系统架构能力
：具备分布式系统设计能力，熟悉微服务架构、消息队列（Kafka / RabbitMQ）、异步任务调度等工程模式；能够独立完成从需求分析、架构设计到技术选型的完整决策链路。
编程能力
：熟悉至少一门后端语言（
Golang / Java / Node.js
）；具备 REST API 设计与 Docker / Kubernetes 容器化部署能力。
LLM 核心技术理解
：深入理解 Transformer 架构、Attention 机制、Prompt Engineering（CoT、Few-shot、Structured Output）；熟悉主流模型 API（OpenAI、Anthropic Claude、Google Gemini）及本地部署方案（Ollama、vLLM）。
工程质量意识
：具备良好的代码设计习惯（设计模式、单元测试、CI/CD）；有构建 LLM 评测（Evaluation）体系或 Agent Tracing（LangSmith / Phoenix / Langfuse）的实战经验。
加分项
有
MCTS、A\*、强化学习（RL）
与 LLM 结合的规划/推理研究或工程经验，熟悉 SFT / RLHF 训练流程。
在
金融、
Web3
、合规
或其他高复杂度垂直领域有 Agent 系统落地经验，理解领域知识对 Agent 设计的特殊约束。
有开源贡献或在
NeurIPS / ICML / ACL / ICLR
等顶会发表过 Agent / RAG / LLM 相关论文。
具备
多模态（Multimodal）
Agent 开发经验，包括图文理解、文档解析（PDF / 财报 / 研报）等非结构化数据处理能力。
熟悉
MCP
（
Model Context Protocol
）
或参与过 Agent 标准协议的设计与实现。
About the Role
We're at an inflection point where AI is fundamentally reshaping financial infrastructure. As an
AI Agent Architect
, you will be a core builder of AI's intelligent ecosystem — not just writing code, but defining how next-generation financial-grade Agents perceive market signals, plan execution paths, retain business context, and orchestrate across systems. You will lead the construction of Agent capabilities purpose-built for real financial scenarios: trading intelligence, risk assessment, compliance monitoring, and smart user services — engineered to operate autonomously in crypto finance's high-velocity, high-stakes, and high-compliance environment.This is a role with genuine technical ownership. You'll make architectural decisions that directly shape the experience of hundreds of millions of users, alongside an elite engineering team with exceptional depth in LLM and Agent technology.
Key Responsibilities
Agent
Architecture
Design
: Lead the architectural design of AI's intelligent Agent layer — defining agent execution models, lifecycle management, and resource isolation strategies on the Openclaw platform. Build the foundational Agent capabilities powering core financial scenarios including trading intelligence, risk assessment, and compliance monitoring, engineered for high-concurrency, low-latency, and regulatory-grade reliability.
Financial Scenario Agent Engineering
: Translate complex financial use cases — trading signal analysis, risk identification, regulatory compliance, and intelligent customer service — into production-ready Agent workflows. Design task planning chains (ReAct / Plan-and-Execute), fallback and error recovery mechanisms, and result validation frameworks that accelerate the path from PoC to production.
Openclaw Platform Development & Evolution
: Contribute deeply to the architectural evolution and performance optimization of the Openclaw Agent Runtime. Design the plugin ecosystem, capability registry, and multi-agent orchestration mechanisms to reduce onboarding friction for product teams and improve platform extensibility and reusability.
Tool Ecosystem & Internal System Integration
: Build a standardized tool-calling framework connecting Bybit's internal trading engine, risk systems, data platforms, and external APIs. Design tool permission controls, call-chain tracing, and error recovery; integrate standards such as MCP to unify a financial-grade heterogeneous tool ecosystem.
Production Quality & Observability
: Lead the observability stack for Agent systems, including trace monitoring, evaluation pipelines, cost tracking, and latency governance. Establish quality baselines and regression testing frameworks for financial Agent scenarios, continuously improving system stability and interpretability.
Technical Vision & Team Enablement
: Track and internalize cutting-edge Agent research, translating advances into AI engineering practice. Define team-wide Agent development standards and best practices; drive AI-native engineering capability uplift through code reviews, technical sharing, and architectural reviews.
Requirements
Proven LLM / Agent Engineering Experience
:
3+ years
of AI systems development experience, including
1+ year
of production experience with Large Language Models (LLMs), RAG systems, or Agent frameworks; hands-on development and optimization experience with
Openclaw
, including familiarity with its Agent Runtime architecture, plugin ecosystem, and multi-agent orchestration mechanisms.
Systems Architecture Proficiency
: Strong distributed systems design skills including microservices architecture, message queues (Kafka / RabbitMQ), and async task scheduling; capable of independently driving the full decision chain from requirements analysis through architecture design to technology selection.
Programming Expertise
: Proficiency in at least one backend language (
Golang / Java / Node.js
); solid REST API design and containerized deployment skills (Docker / Kubernetes).
Deep LLM Technical Understanding
: Strong grasp of Transformer architecture, Attention mechanisms, and advanced Prompt Engineering (CoT, Few-shot, Structured Output); experience with major model APIs (OpenAI, Anthropic Claude, Google Gemini) and local deployment solutions (Ollama, vLLM).
Engineering Quality Standards
: Strong software design fundamentals (design patterns, unit testing, CI/CD); hands-on experience building LLM evaluation frameworks or Agent tracing pipelines (LangSmith / Phoenix / Langfuse).
Nice to Have
Experience combining
MCTS, A\*, or Reinforcement Learning (RL)
with LLMs for planning and reasoning; familiarity with SFT / RLHF training pipelines.
Proven Agent system deployments in high-complexity vertical domains such as
Finance, Web3, or Compliance
, with an understanding of domain-specific constraints on Agent design.
Open-source contributions or publications in
NeurIPS / ICML / ACL / ICLR
on Agent, RAG, or LLM-related topics.
Experience with
multimodal Agent
development, including vision-language understanding and unstructured document parsing (PDFs, financial reports, research papers).
Familiarity with
MCP (Model Context Protocol)
or prior involvement in designing and implementing Agent communication standards.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for an experienced Singapore-based Public Policy expert to lead Anthropic’s policy engagement in Singapore and across the region. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Southeast Asian government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how the region approaches AI regulation and safety during a critical period of governance development.
As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Southeast Asia, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Singapore and the region from the ground up.
In this role, you will:
Conduct comprehensive mapping of key Southeast Asian AI policy stakeholders and build strategic relationships with government and regional multilateral officials, think tank researchers, and civil society leaders
Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Southeast Asia context
Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics
Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents
Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests
Develop new programming and generate opportunities for Anthropic to regularly engage with regional policymakers, think tanks, and non-profit organizations
Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to national regulatory environments
Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy
Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development
Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Southeast Asia
You may be a good fit if you:
Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments
Have a track record of effective, information-rich advocacy with the government of Singapore and other regional governments and multilateral organizations
Have experience analyzing legislation and engaging in regulatory processes
Are energized by agency — you will be the first policy hire in the region and will be building the operation from scratch
Enjoy drafting and executing complex policy campaigns that move the needle
Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information
Excel at translating high-level vision into executable operational plans
Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics
Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes
Preferred Qualifications:
AI/Technology industry experience heavily preferred
Experience working with international companies or organizations
Academic or think tank background in AI policy or related fields
Experience in both government and private sector roles
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic funds delivery partners to help customers adopt Claude, through assessments, workshops, proofs of concept, and full delivery engagements. Our partner request process is the front door for all of it: an account executive (AE) requests partner support, and the request is checked against program rules and matched to a partner.
Commercial is the program's highest-volume segment, and the one where a quick introduction and the right match matter most. Automation now drafts the first match and the introduction, and a vendor delivery team handles day-to-day follow-up and tracker updates. What's left is the work that needs a person sellers trust.
You'll be the one Activations contact for US Commercial sellers once a request is in, from submission to a partner on a signed statement of work (SOW). Partner Sales Managers (PSMs) attach the partner and own the opportunity, and at their volume they move on to the next deal. You'll own the follow-through: matching and re-matching, getting AE and customer introductions to happen, handling exception requests, and working the special cases that don't fit the standard path. Decision rights are clear: the program lead sets program rules, targets, and exception policy; you apply them on Commercial requests, decide what the rules already cover, and bring the rest with a recommendation.
We're looking for a partner seller or channel operator whom sellers and partners trust, who is comfortable owning a high-volume book, and who keeps following up until each request is closed. Success in this role comes down to three things: how quickly Commercial requests move from AE introduction to customer introduction and on to a signed SOW, whether sellers know exactly who to go to and get a straight answer, and whether exceptions are handled the same way every time.
Key responsibilities
Serve as the single point of contact for the AE, the PSM, and the partner on every US Commercial request, from submission to confirmed SOW, so sellers deal with one person instead of several
Answer "Where is my request?" with the current status, the blocker, and the next step with a date, and keep each request's record accurate enough that the answer is already written down
Join the PSM pipeline and activation calls every week so requests don't slip between PSMs, and leave each call with an owner and a date on every open Commercial request discussed
Own the request and its follow-through within clear boundaries: the PSM owns the opportunity, partner attach, and getting the SOW signed; the partner manager owns the partner relationship; and you hand over cleanly to Partner Success once the SOW is confirmed
Confirm the first match that automation drafts from the partner bench, change it when it's wrong for the customer, and own the matching decision on Commercial requests; check that a partner has capacity before introductions go out, and spread work so no partner holds more open introductions than it can take
Re-match quickly when a partner declines, stalls, or is turned down by the AE, record the reason, and make sure the request has an owner in between
Review where Commercial matches are declined or lost, and turn repeat causes into changes to the matching rules
Follow up on automatically drafted introductions that an AE hasn't approved, and resolve what the escalation rules send to you; step in when a partner's booking of the customer introduction stalls, and work with the AE or their manager to unblock it
Run the regular review of aged Commercial requests, making sure each one has a recorded decision (introduction made, customer not ready, re-match, or close out) and a follow-up date
Track every Commercial request from partner named to confirmed SOW, publish the baseline for that stage, and remove the blockers that sit with Anthropic
Be the first stop for Commercial exception requests, including special order-form terms: resolve what the rules already cover, bring the rest to the program lead with the history, the blocker, and a recommended action, and log every exception consistently so approvals follow the agreed routing and can be audited later
Work through cases the standard path doesn't fit, such as small and medium business (SMB), insurance, and other segment-specific use cases, and write down how each type is handled so the next one is faster
Run tests of new funding programs, which start in Commercial, with sellers and partners, and report back what worked, what confused people, and what should change before a wider launch
Teach Commercial AEs and their managers how to request a partner, how one-click introductions work, and what the response rules are, so requests arrive complete the first time; make sure PSMs and partner managers know the stage targets, who to contact once a request is in, and how escalations work
Work with the activation systems and operations lead to turn repeat exceptions and repeat questions into rule changes or automation, so fewer requests need a person each quarter
Use Claude to prepare for pipeline calls, draft follow-ups, and summarize the state of your book, and propose the next manual step worth automating
Work US hours with a regular overlap window with the London-based program lead, and hand off cleanly so Commercial sellers have coverage across time zones
Minimum qualifications
Experience in partner sales, channel, or partner operations in B2B technology
Experience working with services partners or systems integrators: matching them to customer work, judging fit and capacity, and holding them to commitments
Experience working alongside AEs and sales managers on live deals, and able to get a response from a busy AE while keeping the relationship strong
Sound judgment on exceptions: knows the difference between a case the rules already cover and one that needs a decision, and makes a clear recommendation on the second kind
Persistent, courteous follow-through with internal and external stakeholders, and doesn't let items slip past their deadline
Clear, concise writing: short messages people act on, and escalations that give the facts, the ask, and a recommendation
Comfortable with ambiguity and rules that change often: asks good questions, writes the answer down, and applies it consistently
Works comfortably with records and reports in Salesforce
Uses Claude or similar AI tools in day-to-day work
Preferred qualifications
Experience as a Partner Sales Manager or in a closely related role
Experience using Claude specifically in day-to-day work
Experience with partner funding, market development funds (MDF), or co-sell programs
Experience with order forms and SOW workflows
Experience selling into SMB or insurance
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$170,000
—
$215,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
About the Team:
We build the shared ML and AI capabilities that power experiences across our consumer products. Our work spans the platform that enables teams to develop, evaluate, and deploy models, and the intelligence that helps those models understand content, people, and communities. We partner with consumer product teams and infrastructure engineering to turn advances in ML and AI into reusable capabilities that improve discovery, personalization, and other consumer experiences.
About the Role:
We’re looking for a senior individual contributor to lead product strategy across ML Platform and ML Understanding. Reporting to Consumer product leadership, you’ll shape the foundations that help teams build better products: from reliable, efficient model development and deployment to richer classifications and representations of content and users.
This role combines technical depth, consumer product judgment, and organizational influence. You’ll connect needs across applications, identify the investments with the greatest shared value, and align product and engineering leaders around a coherent strategy with measurable outcomes.
What You'll Do:
Set the strategy for shared AI foundations.
Define a multiyear vision and prioritized roadmap spanning ML platform capabilities and content and user understanding.
Connect foundational investments to consumer outcomes.
Translate needs across recommendations, search, discovery, and emerging AI experiences into clear requirements and investment priorities.
Advance content and user understanding.
Guide investments in classification, taxonomies, embeddings, multimodal understanding, and representations of user interests and intent.
Improve the ML development lifecycle.
Partner with engineering on capabilities for data and feature access, training, inference, evaluation, deployment, and monitoring.
Make shared capabilities useful and widely adopted.
Establish clear interfaces, onboarding paths, and feedback mechanisms that help application teams build on common foundations.
Lead investment and technical tradeoffs.
Align senior partners on sequencing, dependencies, and decisions involving model quality, flexibility, reliability, latency, and cost.
Define and demonstrate success.
Measure platform adoption, development velocity, model and representation quality, operational efficiency, and downstream improvements in consumer experiences.
What We're Looking For:
A track record of leading complex ML or AI products, with experience in shared platforms, recommendation systems, search, or related technical domains.
Strong technical fluency across the ML lifecycle and the ability to engage deeply with engineering and applied science partners on architecture and investment decisions.
Experience with content understanding, classification, embeddings, or user representations, and an understanding of how their quality affects consumer products.
Product judgment that connects foundational capabilities to concrete user needs, adoption, and measurable business impact.
Demonstrated ability to establish direction across multiple teams, resolve competing priorities, and influence senior leaders without direct authority.
Comfort defining strategy in ambiguous spaces while maintaining clear priorities, credible execution plans, and accountability for outcomes.
Sound judgment about evaluation, data quality, privacy, and the responsible use of content and user signals.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$260,800
—
$365,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment.
As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows.
This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count.
Key responsibilities
Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it
Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket
Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues
Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips
Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch
Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable
Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk
Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop
Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next
Minimum qualifications
Support operations experience at a technology company, including managing a small team
Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback
A track record of building a tiered support model from an early stage and running it as volume grew
Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions
Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps
Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan
Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact
A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it
Preferred qualifications
Support operations experience in a B2B, partner, or channel environment
Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program
Experience building support coverage across regions, time zones, or languages
Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions.
Key responsibilities
Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists
Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value
Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses
Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations
Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow
Minimum qualifications
Have extensive experience in data science, including leading analytics for a growth or product area at significant scale
Have 5+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Preferred qualifications
Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling
Experience with targeting, personalization, or uplift models in production
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$460,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time.
As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows.
This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count.
Reporting to Head of Partner Operations and Systems · San Francisco or New York based
What you'll do
Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes.
Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit.
Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams.
Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax.
Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet.
Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured.
Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk.
Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next.
What might make you a good fit
Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team.
Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing).
A track record of building a resale or channel operations process from an early stage and running it as volume grew.
Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it.
Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback.
Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact.
A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it.
Strong candidates may also have
Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor.
Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC.
Familiarity with the Claude API, Claude Code or MCP.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's products are growing fast in reach and complexity. Every new model, product, and channel brings problems no one predicted. We want to catch each issue as early as possible, get customers unblocked fast, and fix the root cause. The best experience is one where a customer never has to ask for help.
We are building a Support Technology engineering team to solve what stands between a customer and Claude, whether they want to use it but can't or are unhappy with their experience. That covers individual users, businesses, and customers who reach Claude through partners.
Our goal is a better product experience for everyone who uses Claude. We make it easy for customers to get help and talk to us, through Claude itself and via human specialists with the tools to solve their problems. We also determine why they needed help and fix the cause in the product.
Billing is a good example. When a charge is confusing, a payment fails, or a plan doesn't unlock, a customer should be able to reach us and get it resolved in one conversation. Then we want to learn why it happened and change the product, whether that's the subscription flow, the payment error, or the invoice, so the next customer never has to ask.
As one of the team's early engineers, you will set the technical direction and build the core systems behind this work. We expect Claude to handle more of each case over time, from diagnosing an issue to resolving it to flagging the product fix behind it. Success means customers run into fewer problems, get them truly solved when they do, and are happy with the help they receive, whether it comes from Claude or a person.
This is a hands-on role with high leverage. You will write a lot of code and lead across teams, since many fixes belong to other product teams. You will partner with our Product Manager, the Product Support team, and product engineering teams such as Billing Platform.
Key responsibilities
Improve the product experience at the root: Build agents that spot where customers keep getting stuck and find the root cause, then ship the fix or drive it with the owning team until customers stop running into the problem
Make our support agents reliable first responders: Build the tools, APIs, and safe, audited workflows our Claude-powered support agents use for common fixes, with evals, guardrails, and clean handoffs to people, and measure whether customers' problems actually get solved
Build the platform foundations: Create a reliable support platform that scales with our growth, including the experience and tools for customers and specialists, and the data that shows what customers are running into and whether our changes help
Support enterprise and partner channels: Extend support to business customers, admins, and partner-sold customers, including cases that start outside our own products
Raise the bar and build with Claude: Set standards for reliability, observability, testing, and rollouts, mentor engineers, and use Claude heavily in your own work
Minimum qualifications
Deep backend and distributed systems skills, including APIs, data models, event-driven systems, and third-party integrations
Experience building production software, including technical lead roles on multi-team projects
Experience building systems where correctness, access control, and auditability matter
A clear vision for how capable models like Claude can improve customer support, and motivation to build it
Judgment about when to ship a simple fix and when to invest in a platform
Track record of leading without formal authority and getting other teams to own and ship fixes
Preferred qualifications
8+ years building backend or platform systems in production, including 3+ years leading large-scale, complex projects or teams as an engineer or tech lead
Experience building and improving customer-facing products with measurable impact
Experience with billing, payments, or subscription systems
Experience shipping LLM-based or agentic systems in production
Experience building with helpdesk or contact center platforms such as Intercom, Zendesk, or Salesforce Service Cloud
Experience building internal tools or platforms for operations teams such as support, risk, finance, or trust and safety
Experience building data pipelines for support or operations analytics
Full-stack experience, including web UIs for internal tools or customer-facing flows
Experience with enterprise features such as SSO, admin controls, or provisioning, or with partner and cloud marketplace integrations
Experience setting multi-year technical direction for an area and growing other senior engineers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is building the system of record for digital product development: collaborative tools with natural interfaces that bring PMs, developers, QA, and designers together. That creates new-to-the-world problems in how we build AI products, understand how people use them, and evaluate what makes them useful. You'll work with a unique, petabyte-scale dataset with rich traces of collaborative design and product building to tackle those problems. We're looking for an Applied Data Researcher who combines scientific depth with a proactive builder mindset. Reporting directly to our Head of Data, with regular visibility with C-level executives, you'll identify and vet opportunities, lead investigations into critical questions, and build useful Data products, tools, and prototypes. You'll work across Data Science, Engineering, Product, Design, and AI Research, building directly and providing technical direction to teams of other scientists as efforts grow.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Identify and vet consequential opportunities across Data products and tools, AI measurement and evaluation, and applied data capabilities; lead investigations and shape priorities with partners
Develop and validate methods for evaluating generative AI and agentic workflows, including representative datasets, baselines, rubrics, and evals; investigate uncertainty, bias, failure modes, and real user outcomes
Personally write code and build or adapt LLM-powered tools, agentic workflows, models, prototypes, and demos that test scientific, product, and tool hypotheses, using AI-assisted coding and analysis in your work
Provide technical direction and oversight for larger projects, delegate work to teams of senior and staff scientists, and mentor scientists and engineers while maintaining a substantial personal contribution to code and methods
Independently drive delivery or partner with engineering to turn useful prototypes into maintained systems, balancing quality, latency, cost, reliability, and iteration speed
Establish reusable methods, tools, and technical standards; iterate with users, drive adoption across teams, and use evidence to improve an approach or recommend a change in direction
Communicate findings, recommendations, limitations, and tradeoffs clearly to partners and C-level executives, connecting scientific and technical work to important product and company decisions
We'd love to hear from you if you have:
Deep expertise in machine learning, statistics, causal inference, or a related quantitative field, plus hands-on experience in generative AI evaluation and measurement, including evals, labeling, and agentic workflows
Fluent programming skills in Python or a comparable language, plus SQL, and a record of independently building, debugging, testing, and reviewing useful software, including working effectively with AI-assisted development tools
A proactive builder mindset and end-to-end ownership: experience identifying important opportunities and carrying ambiguous work through method development, implementation, rigorous evaluation, and sustained use by others
A sustained record of company-, organization-, or cross-pillar scientific impact, including shaping technical direction, overseeing larger projects, and leading other senior scientists through influence and delegation
Strong judgment, independence, and collaborative communication, including experience making recommendations to C-level executives, explaining uncertainty and tradeoffs, and aligning partners on priorities and decisions
While it's not required, it's an added plus if you also have:
Experience with human labeling, automated judge validation, conversational data, or multimodal AI and machine learning
Experience building interactive applications, lightweight interfaces, APIs, or reusable open-source tools
Cloud and data infrastructure experience; familiarity with Snowflake, AWS, Dagster, dbt, or Hex is useful, but no particular vendor or framework is required
An MS or PhD in machine learning, computer science, statistics, or a similar quantitative discipline; graduate research, publications, or equivalent applied depth
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$235,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: New York City, NY
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time).
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$230,000
—
$322,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Pacing
is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean.
We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments.
The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives.
Key responsibilities
Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads
Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions
Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion
Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work
Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications
Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work
Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop
Use Claude to build automations to allow teams to have broader and deeper impact
Minimum qualifications
Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects
Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed
Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed
A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work
Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome
Sound judgment and discretion with confidential and sensitive information
Preferred qualifications
Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization
Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment
Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research
Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations
Experience managing published commitments or high-visibility public releases
Experience building a program from zero and reshaping it as the strategy evolved
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic gives
independent external evaluators
access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem.
You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders.
You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides.
Key responsibilities
Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners
Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report
Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information
Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT
Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down
Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions
Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator
Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds
Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators
Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices
Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review
Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well
Minimum qualifications
Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery
Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements
Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams
Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers
Sound judgment and discretion with confidential and sensitive information
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partner Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies.
As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth.
This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets.
Key responsibilities
Strategic Partner Management
Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets
Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes
Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs
Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events
Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models
Business Development & Revenue Generation
Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue
Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences)
Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning
Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy
Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers
Enablement & Solution Development
Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment
Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements
Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap
Develop and maintain Japanese-language sales tools, technical documentation, and partner portals
Facilitate knowledge transfer between Anthropic and Japanese partner technical teams
Go-to-Market Leadership
Design and execute joint marketing campaigns
Develop customer success stories and case studies that resonate with Japanese enterprise buyers
Partner with internal teams to localize global GTM strategies for the Japanese market
Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.)
Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal
Foster alignment across departments to ensure successful partner execution and performance
Minimum qualifications
Experience in channel management, strategic alliances, or business development within the Japanese technology market
Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar
Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette
Native or business-level Japanese and English language skills
Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements
Demonstrated ability to navigate complex partner ecosystems and manage channel conflict
Preferred qualifications
7+ years of relevant experience
Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market
Exceptional relationship-building skills with ability to establish trust and credibility with executives
Strong analytical skills with experience in business planning, forecasting, and performance measurement
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Location: Austin, San Francisco or New York
About the role
Cloudflare is hiring a Data Center Architect to define and deliver the physical infrastructure behind high-density compute and GPU deployments across our global network. You'll own 3 connected domains: the liquid cooling chain, the low-voltage connectivity layer, and the MV/LV electrical architecture that powers both.
This is a senior individual-contributor role spanning architecture, detailed design, technical qualification, design governance, commissioning, and operational readiness. You're Cloudflare's owner-side technical lead in these domains: the person who connects what our hardware needs with what colocation providers, equipment manufacturers, and delivery partners can actually build.
Scope runs from a single rack in commercial colocation to multi-megawatt compute deployments. You'll design power, cooling, and cabling as one system so they don't fight each other at the rack, in the white space, or during maintenance.
If your background is only HVAC design, only cold-plate research, or only utility-scale generation, this role will be wider than you expect. We need someone who can hold the electrical, cooling, and cabling layers together.
About the team
We work with engineering, capacity planning, network strategy, supply chain, and operations to grow Cloudflare's data center and PoP footprint. With colocation providers, hardware suppliers, and delivery partners worldwide, we turn infrastructure requirements into deployments that come online faster, cost less, and work the first time.
What you'll do
Architecture and reference designs
Own the physical-infrastructure architecture.
Build reference designs for power, liquid cooling, and connectivity for AI and high-density compute, including how they interface at rack, row, and site level. Maintain the standards, templates, and libraries that deployment, operations, and partner teams build from.
Translate hardware and capacity needs into engineering requirements.
Turn heat loads, electrical loads, port counts, network topologies, and growth plans into power, cooling, and connectivity requirements and into site and rack qualification criteria.
Qualify sites and facility interfaces.
Assess provider power and cooling availability, utility and backup capacity, water supply and return conditions, hydraulic capacity, upstream heat rejection, expansion headroom, maintenance constraints, and contractual boundaries. Give go/no-go recommendations with the risks written down.
Electrical power architecture (MV/LV)
Lead MV and LV electrical architecture:
single-line diagrams, power distribution, switchgear and UPS topology, busway and PDU design, grounding and bonding.
Design physical power infrastructure,
AC and DC, including power conversion, backup generation, energy storage, and distribution, with attention to fault levels, selectivity, and maintainability.
Validate designs with modeling:
load-flow, short-circuit, arc-flash, and selectivity studies, checked against measured performance where possible.
Define digital power requirements
for monitoring, metering, protection coordination, and control. Work with controls and operations teams on alarm thresholds, trend retention, remote monitoring, and BMS/SCADA integration.
Fold emerging standards
(NEC, NFPA, UL, OCP power and rack specs) into forward-looking electrical designs.
Liquid cooling
Own the liquid-cooling architecture and roadmap.
Develop repeatable direct-to-chip designs and evaluate liquid-to-liquid, liquid-to-air, rear-door, and other approaches against deployment needs.
Design and validate the hydraulic system.
Flow and pressure-drop calculations, pipe sizing, pump selection, balancing, and control requirements. Validate at partial load, during expansion and maintenance, and in failure scenarios, not just at nameplate.
Specify equipment and rack integration.
Qualify CDUs, heat exchangers, pumps, manifolds, hoses, quick-disconnects, valves, and instrumentation. Coordinate rack access, piping routes, service clearances, and installation sequencing with the electrical, cabling, hardware, and structural disciplines.
Own coolant integrity and serviceability.
Set manufacturer-aligned requirements for fluid quality, material compatibility, cleanliness, filtration, corrosion control, condensation prevention, and leak detection. Make isolation, fluid handling, component replacement, and servicing safe and maintainable.
Low-voltage connectivity and structured cabling
Own the physical-layer architecture.
Reference designs for rack, row, cage, and site connectivity: copper and fiber distribution, patch-panel placement, cross-connect demarcations, diverse routes, and reserved expansion capacity.
Engineer fiber and copper connectivity.
Specify media, connectors, trunks, cassettes, and patching for equipment reach and performance. Validate optical loss budgets, connector counts, polarity, breakouts, bend radius, and compatibility across hardware generations.
Produce buildable designs.
Pathway layouts, fiber schedules, port-to-port patching plans, cable-length schedules, bills of materials, and installation specs.
Connect to colocation and carrier infrastructure.
Qualify meet-me-room access, provider pathways, cross-connect options, demarcation points, and route diversity. Define handoffs with data center providers, carriers, ISPs, and Cloudflare's network strategy team.
Integration, controls, and resilience
Coordinate white-space interfaces.
Layouts that account for rack access, airflow, liquid-cooling pipes and manifolds, power segregation, pathway capacity, and expansion. Coordinate supports, bonding, grounding, and firestopping with the responsible disciplines and providers.
Design for resilience and controlled failure.
Evaluate redundancy, shared failure dependencies, cooling and power interruptions, and thermal ride-through. Agree protective responses with hardware and operations teams for pump or CDU failure, loss of facility cooling, leaks, sensor faults, control failures, and power events.
Define controls and operational visibility:
temperatures, pressures, flows, power metering, leak alarms, equipment status, and capacity telemetry.
Governance, delivery, and acceptance
Be Cloudflare's owner-side design authority.
Own basis-of-design documents, single-line diagrams, P&IDs, cabling and equipment schedules, interface requirements, scopes, responsibility matrices, review gates, and acceptance criteria. Review partner designs and contractor submittals, resolve RFIs and technical disputes, and drive deviations to documented closure.
Lead delivery and live-site changes.
Guide contractors and remote hands through new deployments, expansions, migrations, and remediation. Work with deployment and operations on installation sequencing, methods of procedure, change controls, and rollback plans that protect running services.
Lead commissioning and acceptance.
Define factory and site acceptance tests across electrical, cooling, and connectivity: cleanliness and leak-test evidence, flow balancing, loaded performance tests, failure-mode testing, and copper and fiber certification (fiber inspection and cleaning, insertion-loss testing, OTDR where appropriate). Track deficiencies and verify corrective work before sign-off.
Keep the physical source of truth accurate.
Define labeling and connectivity-record standards. Make sure as-builts, power and cooling records, patching schedules, cross-connect inventories, and test records reconcile with Cloudflare's infrastructure inventory and DCIM.
Oversee handover:
deficiency closure, operator training, maintenance procedures, spares, and turnover documentation before production.
Cost, efficiency, and standards
Support sourcing.
RFPs, technical bid evaluation, technical negotiations, supplier qualification, and lifecycle cost analysis. Partner with supply chain on prefabricated assemblies, preterminated cabling, rack integration, lead times, and alternatives that cut field labor without cutting quality.
Reduce energy and water use.
Evaluate phased deployment, consumption, and retrofit options.
Evolve standards from evidence.
Investigate incidents and recurring installation defects with network and operations teams. Feed commissioning and operating results back into designs, standards, and quality checks.
What you'll bring
8+ years in data center mechanical, electrical, or physical-layer infrastructure, critical-facility cooling, or structured cabling, including architecture or technical design leadership.
Bachelor's in Electrical or Mechanical Engineering or a related field, or equivalent practical experience.
Delivered liquid-cooled compute infrastructure from requirements through commissioning or production handover. Conventional HVAC experience alone doesn't qualify.
Create and review electrical single-line diagrams and schematics, with hands-on MV/LV system design including protection, selectivity, and grounding.
Strong command of thermodynamics, heat transfer, fluid mechanics, hydraulic calculations, pump and heat-exchanger selection, and cooling performance under variable conditions.
Practical experience with CDUs, facility and technology cooling loops, rack distribution, coolant compatibility, leak detection, and the interfaces between liquid-cooled hardware and facility systems.
Strong knowledge of copper Ethernet, single-mode and multimode fiber, patching systems, LC and MPO/MTP connectivity, optical loss budgets, polarity, cable management, and the applicable test methods.
Experience in colocation environments: cross-connect delivery, diverse physical paths, and the practical constraints of building inside third-party facilities.
Able to write and critically review basis-of-design documents, P&IDs, electrical and mechanical specifications, equipment selections, operating sequences, and test plans.
Working knowledge of NEC, NFPA, UL, mechanical and plumbing codes, TIA and ISO/IEC structured-cabling standards, relevant ASHRAE data center guidance, and manufacturer operating requirements, and the ability to apply them with qualified local engineering partners.
Experience evaluating resilience and maintainability, participating in commissioning, and resolving system-level problems across equipment and organizational boundaries.
Experience directing design consultants, contractors, installation partners, or remote hands, with clear ownership of technical decisions and acceptance outcomes.
Clear written and verbal communication across disciplines and time zones, and able to run several projects with limited oversight.
Legally authorized to work in the United States on a continuing and permanent basis without company sponsorship. [Confirm wording with recruiting.]
Bonus points
PE, Chartered Engineer, or equivalent registration in electrical or mechanical engineering.
BICSI RCDD, DCDC, or a comparable credential.
High-density GPU platforms, OCP rack, power, and cooling interfaces, or qualification across multiple hardware and cooling suppliers.
Hydraulic and electrical modeling tools (AFT Fathom, PIPE-FLO, ETAP, SKM), thermal or CFD modeling, and validating models against measured performance.
High-density optical distribution, parallel optics, preterminated assemblies, and cabling transitions across successive network generations.
Modular or prefabricated power or cooling infrastructure, live-site retrofits, DCIM platforms, automated connectivity or telemetry analysis, or lifecycle energy and water performance.
Familiarity with Cloudflare-relevant network environments: optical transport, ISP interconnection, out-of-band management, and liquid-cooled rack integration.
Travel
Travel for site assessments, vendor reviews, factory testing, commissioning, and deployment support, including international travel.
What success looks like
Sites are qualified against real hardware requirements. Power, cooling, and connectivity responsibilities are unambiguous. Systems prove their electrical, thermal, and connectivity performance, including failure behavior, before handover. Operations has the monitoring, procedures, training, and spares to run them.
Why Cloudflare
Your work shapes how Cloudflare deploys physical infrastructure across a global network, from long-term architectural choices to getting the next cage online.
Strong candidates take different paths. If your experience shows the core capabilities but doesn't match every line above, apply anyway.
Compensation
Compensation may be adjusted depending on work location.
For San Francisco Bay Area based hires: Estimated annual salary of $165,000 - $205,000.
For New York based hires: Estimated annual salary of $158,000 - $195,000.
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Intellias
Meet your recruiter
Viktoriia Tochylova
viktoriia.tochylova@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
Machine Learning Engineer
Senior
Bulgaria, Croatia, Poland, Portugal, Spain
Remote
APPLY NOW
REFER A FRIEND
Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow!
What project we have for you
Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
What you will do
Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment.
Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges.
Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions.
Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring.
Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints.
Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring.
Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies.
Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks.
Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization.
Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning.
Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements.
What you need for this
Required skills:
5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions.
Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field.
Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation.
Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI.
Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems.
Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring.
Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn.
Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent.
Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments.
Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring.
Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations.
Proficiency with version control (Git) and software engineering best practices for collaborative ML development.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Will be a plus:
Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment.
Experience with model serving and inference optimization tools such as vLLM.
Experience working with feature stores, real-time data pipelines, or streaming AI systems.
Experience with distributed training or large-scale model training frameworks.
Experience with multimodal AI systems (vision-language models, audio-text, document AI).
Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.).
Experience contributing to open-source ML projects or publications in peer-reviewed venues.
An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
УдалённоseniorPortugal
leadSan Francisco, CA | New York City, NY; For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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