Вакансии

— разработка сервисов и API мультиагентной системы; — извлечение данных из чертежей и техдокументации: OCR, VLM, парсинг PDF, DWG/DXF и сканов;

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Senior Forward Deployed Engineer, you will own the delivery of scoped customer implementations and help turn real-world business needs into production-grade agentic automation solutions. You’ll partner closely with customer stakeholders and internal teams to design, build, integrate, and iterate on AI-enabled workflows, balancing speed, reliability, and maintainability. You’ll contribute practical field insights back to the organization, helping refine solution patterns, reusable assets, and implementation playbooks. Unlike traditional software engineers who build a single product for many customers, FDEs ship tailored solutions directly in customer environments, making the platform real for specific business processes and systems. You’ll operate with increasing independence, drive execution on well-defined workstreams, and collaborate with senior FDEs and product teams to align with broader technical direction.   WHAT YOU'LL DO AT UIPATH - Design and build AI-driven workflows, agents, and automations, aligned with UiPath's architecture and platform standards without requiring regular guidance. - Build AI Agents using UiPath technologies, including Maestro or Agent Builder - Apply practical prompt engineering skills to reliably guide agent behavior and understand model tradeoffs (capability, latency, cost) when selecting LLM providers for customer use cases. - Extend platform functionality using APIs, SDKs, and connectors to address unique customer requirements. - Debug across systems including AI inference, data pipelines, orchestration layers, and integration points, resolving most issues independently. - Contribute to internal libraries, reusable components, or frameworks that enhance consistency across customer deployments. - Anticipate delivery risks and communicate blockers, delays, and scope issues proactively to teammates and stakeholders. - Use telemetry, insights, and traces to identify optimization opportunities and failure patterns independently.   WHAT YOU'LL BRING TO THE TEAM - 5+ years of professional software engineering experience (or equivalent) delivering production software. - Strong programming skills in Python and/or TypeScript (or similar modern languages). - Experience building and shipping integrations using APIs and working with cloud services or enterprise systems. - Comfort operating in customer-facing environments with strong written and verbal communication. - Ability to independently drive scoped projects, manage risks, and deliver against deadlines. - Willingness to travel to customer sites as needed.   OUR CORE PRINCIPLES - Customer Centric: Stay close to customer users and stakeholders; anchor decisions in outcomes, adoption, and long-term success. - Breaking Silos: Collaborate across Engineering, Product, Customer Success, and customer teams to unblock delivery and align on the right solution. - Improving Agility: Prototype, test, ship, observe, and iterate—treat deployments and feedback loops as the fastest way to learn. - Dealing with Ambiguity: Make progress with incomplete information; clarify requirements through discovery, iteration, and pragmatic tradeoffs. - Building Focus: Prioritize the highest-impact workstreams, manage scope actively, and deliver durable solutions that customers can run and evolve. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Spain, Remote/Spain Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams; Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data; Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering; Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback; Automate routine steps in CRM procedures and Jira (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs; Solid experience with Jira: workflows, JQL, automation rules, dashboards; Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing); SQL for your own analysis: joins, aggregations, working with large tables; Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana); Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation); Working with Git, merge requests and code review; Understanding of HTTP, REST APIs and webhooks; Process thinking: you can map a flow, spot the weak step and change it without breaking the rest; Clear writing in English (B2): instructions, task descriptions, short reports; Ownership and autonomy: you drive a change to the end, including agreeing it with other teams. Nice to have: Production experience with Node.js / TypeScript or Go services, and Postgres; Jira administration, Jira Service Management or Assets; Understanding of ITIL processes; Google Cloud and BigQuery; Experience with LLM tools or agents in support: prompts, evaluation, guardrails; Experience at a fintech company and/or a startup. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn

Location: Warsaw, PL We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment. Handle (formerly 44pixels) is a London-based, VC-backed startup founded in 2024. We started as a venture studio building AI-first mobile apps, including Cue, Wordcast and Clara, and now focus on one product: Handle. ‍ Handle is an AI agent for owners of local service businesses: groomers, roofers, bookkeepers, caterers and many more. Owners chat with it, and it handles routine work such as replying to customer messages, chasing invoices and answering reviews. It connects to the tools they already use, including Gmail, Outlook, Google Calendar, WhatsApp, Messenger, QuickBooks and Xero. The owner decides what Handle can access and what needs their approval. This isn't a frontier research role. You won't need a GPU cluster, and we're not optimising for papers or leaderboards. You don't need a PhD. ‍ You'll be the first person on our team whose whole job is how good our agent is. Owners trust Handle with their customers and their business, so good means more than finishing the task. It means getting the details right, understanding what the customer needs, and knowing when to ask the owner first. You'll build the evals that measure that, and run the loop that makes it better. ‍ Our engineers have laid the groundwork for evals and own the harness, tracing and deployment they run on. You'll take the evals over and own them from here. ‍ You need to love finding out why an agent did the wrong thing, and proving your fix worked. Build and own our eval suite: scenarios, rubrics, graders, benchmarks, and the quality gates every change has to pass. Run the hill-climb loop on the agent's skills. Find where it goes wrong, form a hypothesis, change the skill or prompt, rerun the suite, and prove the fix worked without breaking something else. Judge conversation quality as well as task success: whether the agent understood the customer, said the right thing, and helped. Test new models as they come out, and separate what the model changed from what the prompts, tools and skills changed. Spot repeated failures that local fixes won't solve, and make the case for restructuring a skill or the agent. Build our view on fine-tuning: when it's worth it, what data it would need, and whether a better skill or model gets there first. First month: take over the existing evals, learn the agent's main workflows, and set a baseline scorecard. By month two: the hill-climb loop is running, every skill change goes through a regression gate, and the first improvements have shipped and been verified. By month three: a repeatable way to compare models, a ranked backlog of improvements, and a short written view on whether fine-tuning is worth exploring. You've built and run evals for an LLM product in production. You've written graders, checked an LLM judge against human ratings, and caught a regression before users did. You've worked on multi-step, tool-using agents, and you know how they fail. You write the code yourself, from graders and harness code to experiments, and you read traces without waiting on anyone. You're disciplined about experiments. You run things more than once, account for variance, and can tell a real gain from noise. You have taste in conversation. You can read a transcript and say what was wrong with it, even when the task got done. You're comfortable setting your own agenda. As the first person in this area, you'll decide what to measure first. You work comfortably in English, which is the language of our team. Hands-on post-training or fine-tuning of open-weight models. At On The Spot, we’re creating a workplace people would want to stay in: supportive, well-organized, and fair in terms of conditions and benefits. ‍ We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews .

Location: Remote Workplace: Remote About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About the Team We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares. Customers already rely on the agent to save time and make better decisions. We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on. That is why we build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces. Each new capability gives merchants more ways to grow their business. What you'll do - Build and own the batch pipelines and cubes behind dashboard analytics and agent insights - Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey - Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total - Own data quality and trust: freshness, monitoring, alerting, and metric definitions - Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products - Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it Requirements Must-have - Proficiency in Python and SQL (any dialect) - Experience building and maintaining batch data pipelines with Spark (PySpark) - Familiarity with the big data stack: Databricks, ClickHouse and dbt - Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs - Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response - Ability to prototype fast and pick the metrics that matter in e-commerce - Ability to translate business questions into technical requirements, and back - Clear communication with engineers and non-technical stakeholders Nice-to-have - Experience building frontend UIs, or willingness to work across the full stack to ship data into product features - Experience with pandas, NumPy - Experience building AI agents: tools, skills, prompts, context, and evaluations - Experience with real-time analytics: ClickHouse, Cube.js - Experience with AWS - Familiarity with statistics for experimentation (A/B tests) Benefits - 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year - 🌎 Fully remote team: choose where you live - 🛋️ Work-from-home stipend to set up your home office - 💻 Apple laptop for new employees - 🧑‍🎓 Annual training and development budget for every employee - 👪 Maternity and paternity leave for qualified employees - 🧠 Smart colleagues who help you grow and make a meaningful impact - 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options, in addition to the base salary - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

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.

• Разработка и поддержка веб‑приложений на Python и React. • Проектирование и внедрение AI‑функций: интеграции LLM, RAG‑пайплайны, AI‑ассистенты и поиск по базе знаний.

Location: Berlin, Germany; Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, as a part of Doordash, we’re building the industry’s most scalable and reliable delivery platform to support our three-sided marketplace of consumers, merchants, and courier partners. What makes our team unique: Our global Security team aspires to be the world’s most admired security team, with members across EU, UK and North America (operating as Wolt, Deliveroo and Doordash). We’re shaping our next generation infrastructure that is hardened from the ground up. This is a rare opportunity - no legacy tech or off-the-shelf product solutions. There is a lot to do around this new development as well as our “classic” platforms of the three companies. The greater team is not just information security - we’re more holistic, and also physical security and safety are a part of our global operations. This position is open in our Wolt hubs in Berlin, Germany , or Helsinki, Finland , and will be a part of the Global Security Engineering team. Day-to-day in this role you’ll: Build and maintain core security products, including but not limited to Remote Access Management, Secrets Management, Tokenization, Encryption and Knowledge Graphs, Access Control at global scale. Partner cross-functionally with Core Infrastructure, Product Engineering, Legal, Security teams and Vendor Partners to build “paved paths” that provide actionable feedback to embed secure design practices into the product and infrastructure development process. Lead the technical direction and roadmap for your assigned area of ownership. Build and maintain high Operational Excellence (OE) to ensure we operate T0 services with excellence, rigor and durable standards to ensure minimal to no downtime. Participate in on-call rotation and promptly respond to on-call events with urgency and rigor. Manage the lifecycle of security product feature requests and improvements full life-cycle from triage, validation, design, testing, and implementation. Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Mentor and coach earlier career engineers, setting and enforcing high standards for Operational Excellence and Software Engineering. Over time, your role can evolve depending on your interests and skills. Our company is  a large place and there’s a lot to do! As the Security team sometimes needs to address high-priority security issues as well as ensure the availability of the components we have built, this position includes an on-call duty. On-call compensation and terms will be agreed separately in accordance with the local employment law. Our humble expectations* Able to demonstrate a track record of driving improvements to a company’s infrastructure security posture. Breadth of technical experience across various infrastructure and security areas running in large production environments. Highly skilled in distributed systems and platforms development using program languages such as Java/Scala/Kotlin, Golang, or Python. Strong experience with infrastructure as a code tooling like Terraform. Expertise with cloud infrastructure and management in AWS. Experience solving complex, systemic issues that require creative thinking and solutions. Exceptional analytical and investigative abilities with hands-on experience leading root cause analysis. Excellent verbal and written communication skills to review design documents with respect to cloud infrastructure, security and engineering personnel. Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities with minimal oversight. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really want to join us! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Москва Мы ищем сильного бизнес-аналитика/аналитика AI-помощника. Наш продукт — это ИИ-помощник, который разработан для помощи сейлзам и трейдерам, снимая с них часть рутинных задач и процессов. Наш будущий коллега должен обладать высокой степенью автономности и способностью выстраивать коммуникацию там, где она не выстроена. Обязанности ### Чем предстоит заниматься: * **написанием требований:** писать исчерпывающие, непротиворечивые и грамотные бизнес-требования (BRD), функциональные требования (FR) и нефункциональные требования (NFR), а так же спецификации для сложных интеграционных решений * **визуализацией:** построение BPMN, UML, ERD, Use Case диаграмм, визуализация «As Is» и «To Be» процессов и объяснение сложной логики работы ИИ-модели на схеме * **Spec Driven Development (SDD):** работа в парадигме SDD. Формирование спецификаций, которые будут единственным источником правды для разработки и тестирования (включая написание спецификаций для генерации кода/тестов) * р**аботой с данными:** анализ разнородной информации (логи, выгрузки из CRM/BI, транскрибации звонков, регламенты). Структурирование хаоса и выявление паттернов. Требования ### Мы ожидаем, что вы: * опыт работы в роли Senior/Lead Бизнес-аналитика не менее 3-х лет * понимаете REST API, форматы данных (JSON, XML), SQL (на уровне написания запросов для проверки данных * имеете высшее техническое или экономическое образование (желательно: Прикладная математика, ИТ, Финансы) * **понимаете жизненный цикл ML:** имеете четкое понимание того, как работает модель (не «магия»), что такое обучение, инференс, дрейф данных * **работали с «Тестовой корзиной»:** пониманиете принципы формирования датасетов для валидации. Умеете формировать требования к «золотому стандарту» (Golden Set) и метрикам качества (Precision, Recall, галлюцинации) * **prompt engineering & RAG:** понимаете основы промпт-инжиниринга и архитектуры RAG (Retrieval-Augmented Generation). Умеете описывать требования к контексту, который подается в модель * **оценивали качество (Evaluation):** имеете опыт описания методик оценки ответов ИИ (экспертная оценка, автоматизированные метрики). Условия ### Что мы предлагаем: * комфортный современный офис на Вавилова, 19 * формат работы – гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Data Center Technician Manager is a first-line people manager responsible for the day-to-day operational performance and development of DC Technician and DC Facilities Engineering staff at the site. This is the first formal people-management role in the Nebius data center technical career path. It serves as the primary operational and people-management layer between these teams and the Data Center IT Manager. The role owns performance, development, scheduling, and accountability across the DC Technician and DC Facilities Engineering disciplines. When the Data Center IT Manager is unavailable, this manager acts as the primary on-site operational authority, makes shift-level decisions across both managed disciplines, and coordinates incidents involving other site teams. The successful candidate brings deep technical credibility in data center technician operations and/or facilities engineering, along with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and represent the managed teams in site-level operational discussions. The Senior DC Diagnostic & RMA Specialist, Field Network Engineer, and Senior DC Support Engineer report directly to the Data Center IT Manager. You will work on-site at our Missouri data center location. Core responsibilities Own the daily operational performance of DC Technician and DC Facilities Engineering staff. Assign shift coverage, set priorities, balance workloads, and ensure open work is tracked, delegated, and completed to Nebius standards. Conduct regular one-on-one meetings with direct reports. Deliver structured performance feedback, set individual development goals aligned with the career framework, track progression, and manage performance concerns in partnership with HR and the Data Center IT Manager. Own shift handoff quality across both disciplines. Ensure incoming shifts have full visibility into open incidents, active vendor work, abnormal system conditions, deferred tasks, and escalated items before taking operational ownership. Serve as the on-site operational escalation authority during active incidents. Direct the response across managed teams, coordinate with the Lead DC Technician, Senior DC Facilities Engineer, and technical specialists reporting to the Data Center IT Manager, and escalate incidents that exceed site-level decision-making authority. Manage vendor and contractor activity on the data center floor and in engineering zones. Verify qualifications, enforce safe working practices, review and approve Methods of Procedure (MOPs) within assigned authority, oversee execution quality, and ensure work meets Nebius standards. Drive technical training and development for managed staff. Partner with the Lead DC Technician and Senior DC Facilities Engineer to identify skill gaps, arrange training, validate completion, and support progression within the Nebius career framework. Lead hiring activities for DC Technician and DC Facilities Engineering roles. Conduct structured, competency-based interviews, provide hiring recommendations, and partner with recruiting and HR on offers, onboarding, and early-tenure support. Maintain a safe, inclusive, and high-performance team culture. Address conduct, attendance, and well-being concerns promptly and in accordance with Nebius policies, safe working requirements, and applicable employment obligations. Make recommendations regarding hiring, promotions, disciplinary action, advancement, scheduling, and termination. Make routine decisions regarding workflow, staffing, escalation, and corrective actions within assigned management authority. Provide ongoing coaching, training, and performance feedback. Technical work may be performed when needed, but the position’s primary responsibility is managing the assigned team and data center operations. Expected capabilities Proven first-line management ability, including leading, developing, and holding technical teams accountable across shift-based operations in a mission-critical environment. Deep technical credibility in data center technician operations and/or facilities engineering, with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and evaluate readiness across both functions. Strong operational judgment, including assigning and reprioritizing work, managing incidents across disciplines, and making sound shift-level decisions without requiring approval for routine matters. Demonstrated performance-management capability, including delivering structured feedback, managing development plans, addressing underperformance, and supporting career progression and promotions in partnership with HR. Clear, structured communication with technicians, facilities engineers, the Data Center IT Manager, global engineering teams, vendors, and senior leadership. Proficiency in operational reporting and tracking metrics, with the ability to identify performance trends, surface risks, and recommend improvements to shift execution and team capability. Working knowledge of safe working practices, change control, emergency operating procedures, and vendor management, with the ability to learn and apply Nebius-specific requirements. Core physical requirements The role requires the ability to perform the following activities, with reasonable accommodation where applicable: Stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Safely lift, carry, and position equipment weighing up to 50 pounds independently, using appropriate team-lift protocols or mechanical aids for heavier loads. Work at heights, including ascending and descending ladders and using approved elevated work platforms. Work in confined spaces, including under raised floors, within rack enclosures, and along cable management pathways. Work in environments with variable temperatures, including cold aisle containment zones and areas with active cooling infrastructure. Handle small components, precision cabling, and connector installations. Read equipment labels, interface indicators, and detailed wiring diagrams in variable lighting conditions. Safely push or pull wheeled equipment weighing up to 500 pounds on level surfaces, using appropriate equipment-handling procedures. On-call requirement This role carries on-call responsibility as the primary management escalation point for after-hours incidents, team welfare concerns, vendor emergencies, and site-level operational events requiring management authority across both managed disciplines. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $125,000 — $145,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Luxembourg Are you a highly motivated individual fluent in English and French with a passion for business operations and service delivery? Join our team at EUROPEAN DYNAMICS as a Junior Service Delivery Officer and play a significant role in supporting our business growth and ensuring smooth office operations. This is your chance to contribute to the success of a dynamic organization and advance your career in a collaborative and innovative environment. The work will be carried out on the company’s premises, in Luxembourg. What You'll Do: Help manage client and consultant relationships and address inquiries or concerns; Reach out to potential clients to schedule meetings and presentations, with direct supervision of the Service Delivery Management team; Support the Service Delivery Management team with the development and implementation of business development strategies; Handle general office management tasks such as answering phones, sorting and distributing incoming mail, maintaining office filing, and organizing meetings; Handle general inquiries and provide information to staff, clients, and visitors; Assist different departments with administrative tasks as needed; Promote teamwork and build effective relationships with internal departments to address consultants’ and clients’ questions and expectations; Participate in the overall business activity, by encouraging innovative and stimulating work environment evolutions. Requirements Bachelor's or Master's degree in Business Administration, Marketing, or a related field; Excellent communication skills both oral and written in English and French. Knowledge of other languages is an asset; Strong organizational skills and attention to detail; Ability to work independently and as part of a team; Good knowledge of Microsoft Office Suite. This function requires and helps you develop the following skills: A very good sense of prioritization and organization in a multitasking environment; Accuracy and thoroughness, ability to monitor work for quality; Ability to handle pressure and the capacity to react promptly when necessary, with great flexibility; Fast learning and independence; Adept communicator with negotiation skills; Ability to work in a multinational and multicultural team; Approachability, energy, and enthusiasm to motivate and engage others; A great sense of empathy, patience, and dedication to the consultants and the clients; Results-oriented, positive “can do” attitude. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JSDO/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: EMEA - Remote; USA - Remote Workplace: Remote ABOUT POLYGON LABS Polygon Labs is a global blockchain payments company building and operating infrastructure to move money instantly, reliably, and at internet scale, with the mission to move all money onchain. It is building the Polygon Open Money Stack, an open and integrated stack of services and technologies to instantly and reliably move money anywhere, and put it to work. Its infrastructure has facilitated trillions of dollars in onchain value transfer and supported millions of transactions daily for some of the globe's largest banks, fintechs, enterprises, and consumer applications. AI PLATFORM ENGINEER ABOUT THE ROLE We are hiring an AI Platform Engineer to help build the platform that powers every agent at Polygon Labs. Polygon is a cryptocurrency company focused on on-chain payments infrastructure. As we shift to having agents manage the majority of work across engineering, business development, compliance, support, and finance, people will supervise and guide those agents while making key decisions.   You will join a small, flat Platform Team reporting to the AI Platform Lead. This team owns the entire AI platform, including the agent runtime, MCP servers, guardrails, evaluations, observability, and spend tracking. The team proactively identifies opportunities where AI can accelerate, improve, or automate work company-wide—including tasks that haven’t yet been automated.   Our internal customers are Operators: domain experts in every function who manage fleets of agents and define standards of quality. This is a hands-on IC role, where you will write code, ship to production, and take ownership of your deliverables.   YOUR RESPONSIBILITIES - Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs (e.g. spec-to-PR agents, AI code review, incident triage, KYB review). - Build and manage MCP servers, including system design, hosting, security, authentication (e.g. per-user OAuth), and keeping a clean connector inventory for Slack, GitHub, Jira, HubSpot, and internal services. - Develop autonomous agents that act and plan across tools through trust stages: shadow, suggest, execute, and autonomous. - Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access. - Build evaluation frameworks (test sets, regression suites, live scoring in production) so every agent releases with quality metrics tied to business outcomes. - Instrument agents for observability: tracing, logging, latency, cost, drift detection, and daily dashboards for Operators. - Track AI spend across providers (Anthropic, OpenAI, OpenRouter), setting budgets, alerts, and spend attribution to teams, agents, and workflows. - Support Operators by developing features from their requests, writing documentation, running enablement sessions, and building self-service tools. - Create skills and plugins centralizing company knowledge (processes, standards, security, brand), versioning and reviewing these to ensure consistent, repeatable agent output. - Proactively find and automate manual, repetitive processes across the company, measuring outcomes and iterating rapidly.   WHAT YOU'LL NEED - 5+ years as a software, platform, or infrastructure engineer, including experience prior to AI coding tools. Solid grasp of system design, data modeling, testing, debugging, and code review. - 6-12 months shipping LLM-based systems to production, with agentic workflows in use by real end users. - Daily, hands-on experience with AI coding agents like Claude Code and Codex to write, test, and review production code. - Experience building autonomous or multi-step agents with tool use (Claude Agent SDK, Anthropic/OpenAI APIs, or similar). - MCP server experience (OAuth flows, scoped tokens, user-level access control). - Identity and access experience: Okta (or similar IdP), SSO (SAML/OIDC), SCIM provisioning, group-based and device policies. - Creating automated system identities (GitHub Apps, service accounts, API keys, secret managers like 1Password). - Designing guardrails: least-privilege, audit logs, CI checks, approval gates, allowlists, and policy-as-code. - Creating evals for LLM systems: test sets, rubrics, CI regression, release gates, and live production scoring. - Instrumenting production system observability: tracing, metrics, alerting, dashboards (OpenTelemetry, Grafana, Datadog, Langfuse, LangSmith, Braintrust). - Tracking AI spend across vendors: per-key limits, cost centers, budgets, actionable alerts. - Strong in at least one of TypeScript, Python, Go; working knowledge of CI/CD (GitHub Actions/etc), cloud infrastructure. - Track record of independently identifying and automating manual processes (two or three concrete examples). - Clear, concise written communication (specs, runbooks, RFCs).   PREFERRED QUALIFICATIONS - Cryptocurrency, blockchain, payments, or fintech experience (regulated industry/audit a plus). - Experience writing agent skills, plugins, or shared prompt libraries for organizational reuse. - Familiarity with model gateways (OpenRouter, LiteLLM, Portkey): key management, routing, fallback. - Experience extending open-source coding agents (OpenCode, Pi). - Awareness of emerging agent identity standards (MCP enterprise-managed auth, Okta Cross App Access). - Context/retrieval engineering: vector stores, agent memory, permissioned retrievals. - ML engineering: model evaluation, fine-tuning, model routing. - Experience with agent runtimes/sandboxes (Modal, n8n, containerized environments). - Public technical work: open-source tools, servers, blog posts, talks about agent production experience.   HOW YOU’LL WORK - Treat Operators as the customer—supporting engineers and non-engineers in every business function. - Listen to needs, refine vague asks into actionable requirements, and communicate technical concepts plainly to executives or subject matter experts. - Assertively but diplomatically push back on unsafe or low-value requests, suggesting alternatives. - Operate autonomously: write specs, break down projects, ship and iterate independently, and communicate progress asynchronously across time zones. - Use judgment to distinguish critical automations from temporary demos, and validate changes with affected users. - Own outcomes post-merge: pilot, monitor, fix, and iterate as needed. - Work transparently in public channels, tickets, written docs, and runbooks. - Create reusable assets (skills, plugins, templates, tools) from frequent learnings or solutions, making them broadly accessible across the company.   SUCCESS IN 90 DAYS - 30 days: Ship production changes to a live system (e.g. AI SDLC pipeline, code review, or spend analytics). Gain familiarity with agent runtime, MCP servers, spend tracking. - 60 days: Take end-to-end ownership of a platform area, publishing a spec and meeting with relevant Operators. - 90 days: Ship an agent with live-scored eval suite and Operator dashboard; complete an Operator request independently; propose and launch at least one unsolicited automation. POLYGON LABS PERKS The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits for our full time employees: - Remote first global workforce - Industry leading Medical, Dental and Vision health insurance* - Company matching 401k with 3% match* - $1,500 Home Office Set Up Allowance (life-time max) - $200 Annual Book Allowance Program - $75 Monthly internet or phone reimbursement - Flexible Time Off - Company issued laptop - Egg freezing, mental health, and employee wellness benefits *In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific. *401k is for United States employees only   Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.   Learn More about Polygon Labs Website https://polygon.technology/ |Twitter https://twitter.com/0xPolygon|Telegram https://t.me/polygonofficial |Reddit https://www.reddit.com/r/0xpolygon/ |Discord https://discord.gg/0xpolygoncommunity |Instagram https://www.instagram.com/0xpolygon/ |Facebook https://www.facebook.com/0xPolygon.Technology |LinkedIn https://www.linkedin.com/company/13449964/admin/

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: 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 help people discover content and communities that make them want to return and participate. Our work connects personalized relevance with the health of the broader ecosystem: helping new users find their interests, elevating quality, and connecting communities with audiences who will value them. We care about both the usefulness of an individual recommendation and how discovery shapes the experience of users, contributors, and communities over time. About the Role: We’re looking for a Product Manager to lead Ecosystem Relevance, with a focus on new user experiences, content and community quality, and community coherence. You’ll shape how our relevance systems serve people when we know little about them, recognize worthwhile content and communities, and account for the context that makes a recommendation appropriate. Working with ML engineering, data science, research, and consumer product teams, you’ll translate these goals into signals, ranking objectives, product experiences, and experiments that improve retention and participation while supporting a healthy ecosystem. What You'll Do: Improve relevance for new users. Own the strategy for cold start recommendations, interest exploration, and early personalization so people find value in their first sessions. Make quality actionable. Develop definitions, signals, and evaluation methods for content and community quality, accounting for usefulness, originality, authenticity, and user feedback. Strengthen community coherence. Improve alignment between what a community is about, the content surfaced from it, and the interests, intent, and expectations of the people discovering it. Shape discovery across the ecosystem. Identify opportunities for new, emerging, and niche content and communities to reach suitable audiences, and address exposure patterns that limit discovery. Translate ecosystem goals into relevance decisions. Partner with engineering on candidate selection, ranking, exploration, diversity, and repetition controls across relevant consumer experiences. Build a balanced measurement framework. Assess early retention, satisfaction, successful discovery, negative feedback, and downstream participation and community health. Lead experiments and execution . Combine behavioral analysis, research, and controlled experiments to identify opportunities, prioritize a roadmap, and deliver measurable improvements with partner teams. What We're Looking For: Experience shipping consumer products in recommendations, discovery, search, personalization, growth, or community ecosystems. Strong product intuition for new users and an understanding of how early experiences influence retention and longer-term participation. Analytical depth: the ability to define metrics, interpret experiments, investigate heterogeneous effects, and distinguish short-term engagement gains from durable improvements. Fluency in recommendation systems and experience partnering with ML engineers and data scientists on signals, objectives, and evaluation. An understanding of ecosystem dynamics, including feedback loops, exposure allocation, content supply, and the relationship between audience growth and community health. The ability to turn concepts such as quality and community coherence into clear product requirements and measurable outcomes. Strong execution and cross-functional influence, with the judgment to navigate tradeoffs among personalization, exploration, quality, and ecosystem health. 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: $232,500 — $325,500 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 We’re looking for a Staff Product Designer who is excited to design the future of teamwork at the exact moment it is being reinvented. You’ll join Asana’s AI Design team to craft the experiences where AI does real work alongside people—from agents that take on tasks and AI-recommended workflows to the enterprise controls that build trust. Many of the interaction patterns we need don’t exist yet, giving you the opportunity to invent, ship, and scale them while setting the craft bar across our AI products and platform teams. We design the future of teamwork. Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community made up of a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We love combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to the power of our applications. We partner with people across Asana to create our product, shape our brand, and drive greater impact through design—solving challenges, creating experiences that customers love, and taking the time to get weird and have fun along the way. We believe every designer should have the opportunity to grow and learn by utilizing their strengths and nurturing their interests. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead the design of end-to-end experiences for Asana’s AI products, taking ambiguous, high-stakes problems from first framing to polished, shipped details. Define the interaction language for how people delegate to, steer, review, and trust AI in Asana—including how agents show their work, ask for input, explain their reasoning, recover from mistakes, and hand work back to people. Champion product excellence by raising the bar for interaction and visual craft so powerful AI capabilities feel clear, calm, and unmistakably Asana, while contributing AI-native patterns and components to our design system. Turn system and technical complexity into simple, dependable experiences by partnering with engineering and product to understand how models, tools, context, and permissions work, and designing for those realities. Treat AI as a design material by prototyping with real models, writing and refining prompts and instructions, and using real outputs and evaluations to shape what we ship. Build what you design using code-based prototypes to explore ideas and align partners, shipping changes to production alongside engineering when it is the fastest path. Design AI for multiplayer teams and enterprises by shaping the transparency, permissions, and admin controls that let organizations govern and roll out AI with confidence. Drive ideas across teams by connecting work across our AI products (such as AI Teammates, AI Studio, and Dash) and platform teams, bringing partners along with working prototypes, clear narratives, and a strong point of view—while elevating fellow designers through critique, pairing, and mentorship. About you 8+ years of experience in product design, with a track record of leading design on complex products at a senior level A portfolio showcasing interaction and visual design craft alongside a track record of shipping complex work at scale Real-world experience designing and shipping AI products—such as agents, assistants, AI-powered automation, or generative features—including designing for model behavior, uncertainty, and failure in partnership with engineering, research, and product teams Fluency with system and technical complexity, demonstrating the ability to reason about data models, permissions, integrations, and LLM constraints in behaviors and systems rather than just screens and flows Hands-on proficiency with modern AI tools, regularly prototyping with LLMs, iterating on prompts, and using AI-assisted design and coding tools in your everyday workflow Proven ability to lead work that spans multiple teams and drive alignment and execution without formal authority Customer-centric problem solver who gets close to users, uncovers unspoken needs, and uses research and data evidence to back design decisions At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $223,000 - $253,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: USA - Philadelphia (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. What you'll own You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. What we're looking for Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $162,772.50 — $203,465.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. What you'll own You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. What we're looking for Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $162,772.50 — $203,465.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, we want our Go-To-Market teams to have the best tools, data, and AI available. We're looking for a Staff GTM Engineer to join Revenue Operations and own the architecture, development, and operation of the AI applications, agents, and data pipelines across our sales, marketing, and customer success stack. This is a hands-on, cross-functional engineering role. You'll write and ship production code, set the technical direction for AI in GTM, and bring engineering rigor to the work: architecture reviews, testing, CI/CD (Continuous Integration/Continuous Delivery), and observability. You'll work closely with operations, systems, analytics, engineering, and security teams to turn ideas into reliable services that help revenue teams work faster and smarter. Reporting into the Senior Director, GTM Engineering, this role is a remote opportunity within Canada and the USA. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: • Bring 6 or more years of engineering experience, including ownership of production tools from initial design through deployment and ongoing operation. • Work directly with GTM workflows and systems such as Salesforce, Clay, HubSpot, Outreach, Gong, and Gainsight, including their application programming interfaces (APIs) and data models. • Build production agentic applications using prompt and context engineering, retrieval-augmented generation (RAG), vector databases, tool calling, evaluation frameworks, and observability. • Translate business goals and pain points into clear technical requirements, explain tradeoffs in plain language, and collaborate effectively with non-technical GTM leaders and cross-functional partners. • Write clean, tested, maintainable code and apply strong engineering practices, including version control, code review, debugging, and consistent coding standards. • Deploy and operate production services on Amazon Web Services (AWS) or Google Cloud Platform (GCP), using containers or serverless infrastructure, infrastructure as code, continuous integration and continuous delivery (CI/CD), monitoring, and alerting. • Use Structured Query Language (SQL) and data modeling to build reliable data pipelines between systems. What you can expect: - Ship AI into the revenue workflow: Design, build, and run production agents and services for lead scoring, enrichment, routing, summarization, and personalized outreach across GTM systems. - Own the GTM technical roadmap: Partner with RevOps and GTM leaders to find and prioritize the use cases worth building, and make the build vs. buy and architecture calls behind them - Build the platform others build on: Create shared APIs, integrations, and data pipelines that connect revenue systems, so each new use case ships faster than the last - Make AI measurable and safe to change: Put evaluations, monitoring, and staged rollouts around every AI workflow, and partner with Security and IT to protect customer data - Set the engineering bar for GTM: Establish standards for code review, linting, testing, CI/CD, and documentation. Mentor engineers and technical operators - Run what you build: Join the on-call rotation for your systems and lead incident response and follow-up fixes USA-based roles only: The annual base salary for this role is between $139,000 USD and $202,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $124,000 CAD and $180,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.