Location: Americas Remote
Hi, I’m Josh, Engineering Manager at
Customer.io
. We’re looking for a curious, AI-forward Developer Experience Engineer to join our Integrations team and help us build the tools that developers rely on to integrate with
Customer.io
.
About
Customer.io
Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again.
Engineers with product taste
You think like a developer using your tools, not just an engineer building them. You care about API design, developer experience, and everything in between.
A healthy skepticism for “the way things are done”
You bring rigor and creativity. Best practices matter - but never more than forward motion.
What You’ll Do
Build and evolve
Customer.io
's SDKs across platforms - including Android, iOS, Node, and Go - and the developer tools that support them
Lead SDK initiatives end to end: set technical direction, write the code, manage the release, and own the outcome
Improve SDK delivery infrastructure - CI, automated testing, versioning, publishing, and release processes - so shipping is reliable and low-friction
Partner closely with product and design to turn loosely defined goals into a great developer experience
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Use AI agents to make multi-file changes across unfamiliar codebases and languages by scoping the work, writing the prompt, and verifying the output
Bring strong customer empathy to the role - understanding what the engineers integrating with our SDKs actually need, and occasionally engaging directly with them
What we're looking for
Expert-level competency in at least one established programming language, with strong software design and API design fundamentals
Experience building and evolving mature, production-quality software, with a clear understanding of how systems fit together and how other developers consume them
Exceptional fluency with current LLMs and agentic coding tools (e.g., Claude, Cursor, Codex) - using AI to understand unfamiliar codebases, work across languages, and run things in parallel or autonomously
High autonomy in ambiguous environments - you clarify the problem, validate its value, and drive implementation without close direction
Strong written and verbal communication, with the ability to explain technical decisions and tradeoffs clearly
Ability to work effectively across multiple languages and stacks; prior experience in every language we support (Swift, Kotlin, Node, Go) is not required
Nice to have: experience building external-facing SDKs, APIs, or developer tools; experience owning CI, testing, versioning, or release infrastructure; or forward-deployed engineering experience.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
Application
- We review everyone with care. Tell us why you're interested.
Recruiter Call
(30 mins) - Let’s chat about what you’re looking for and how we work.
Hiring Manager & AI Skills Interview (60 mins)
- We'll explore ownership, autonomy, and collaboration, then dig into how you actually use AI in your day-to-day workflow.
Practical AI-Enabled Coding Round (60 mins)
- A live, collaborative session where you'll extend a sample SDK using AI tools. Wwe want to see how you think and work with AI as part of your process.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.
Location: Japan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
LILT is seeking culturally fluent In-Game Localization Specialists to ensure gaming titles resonate with players around the world. In this role, you will adapt in-game content linguistically and culturally, preserving the original tone, intent, and immersive experience across multiple languages and regions.
WHAT YOU’LL DELIVER
- Localize in-game text, UI, dialogue, subtitles, and narrative content for target languages while maintaining tone, style, and context.
- Ensure cultural relevance and sensitivity by adapting content appropriately for regional audiences.
- Review and edit localized content for accuracy, consistency, and quality.
- Support the maintanance of glossaries, style guides, and terminology databases.
- Work with localization QA teams to identify and resolve linguistic bugs in-game.
- Provide feedback on localization pipelines and suggest improvements for efficiency and quality.
- Coordinate with language teams
QUALIFICATIONS
- Native-level fluency in the target language
- ISO 17100 Certification Criteria:
- A graduate qualification in translation, linguistics, or language studies, OR
- A graduate qualification in another field plus 2 years of full-time professional translation experience, OR
- 5 years of full-time professional translation experience.
- 3+ years demonstrable experience in localizing game video content.
- In depth and practical understanding of the nuances and considerations of translating the following gaming content types:
- UlContent/menus
- Mission text
- Non-Player Character (NPC) ambient dialogue
- Locked cutscene subtitle blocks
- Transcreation experience specifically within the gaming sector, translating NBA-related content for video games.
- Familiarity with game engines and localization pipelines.
- Knowledge of scripting formats (e.g., XML, JSON) is a plus.
- Passion for video games, especially sports, action, or narrative-driven titles.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in Gaming localization
Step 2: If a test is required, you will be asked to take a test in specific domains you specialize in.
Step 3: Once you are selected to join our translation team or once you have passed the test, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX)
own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE)
embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer.
When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed;
you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for
.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack.
Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engine
Location: Valencia; Poland; Yerevan; Serbia; Kyiv; Madrid; Odesa
Workplace: remote
About the role:
Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts.
You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness.
Domain Focus
Deep, current expertise in one or both of our priority verticals is a leading selection criterion:
Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows.
Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling.
You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries.
Forward-Deployed Delivery (FDE / FDX)
Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other:
FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos.
FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment.
Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential.
Requirements:
Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context.
Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery.
Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping.
5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements.
Fluent English.
A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must.
GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders.
Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks.
Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs.
Design thinking, data-driven decisions, strong communication and executive storytelling.
Bias to action; thrives in ambiguity with structured problem-solving.
Enough engineering empathy to earn credibility with senior engineers and architects on day one.
Nice to Have:
Second priority vertical beyond your primary FSI/HCLS focus.
Prior experience in a Premier AWS or Anthropic partner environment.
Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early.
Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
Software development background.
What You'll Do:
Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery.
Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs.
Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments.
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result.
Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream.
Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows.
Break complex work into incremental releases; balance delivery against technical debt and architecture.
Sprint-Enable-Realize engagement model.
Lead Agile execution - backlog, sprint planning, release process.
Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program.
Define success metrics and analytics; drive continuous improvement and root-cause analysis.
Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Why Join Us:
Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact.
Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment.
Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers.
Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks.
Remote-friendly culture.
Private medical insurance or sports coverage
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work.
Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland
Workplace: Remote
ABOUT THE COMPANY
Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating.
ROLE OVERVIEW
We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker.
We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between.
WHY THIS ROLE EXISTS
Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build.
REQUIREMENTS:
- Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line.
- Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment.
- Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows.
- Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos.
- Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures.
- Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw.
- English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear.
- AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering.
- Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI.
WHAT YOU'LL BE DOING:
- Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code.
- Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations.
- Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it.
- Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops.
- Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks.
- Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release.
- Investigate real production failures and improve the complete system, not just the prompt or the model response.
- Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero.
- Own architecture, quality, security, and business outcomes — not just the pull request.
THIS IS NOT FOR YOU IF
- You want a prompt-only role or a research position focused on training foundation models.
- You do no-code-only automation and can't own real production code.
- You call yourself a product manager who delegates the build.
- You ship unreviewed "vibe coding" and call it done.
- You need a complete spec before you can start.
- You optimize for demo quality instead of measurable business impact.
WHAT WE EXPECT FROM YOU (FIRST 3 MONTHS)
We don't do long onboarding: access on day one, context in days, first shipped improvement in the first 30.
- Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production.
- Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume.
- Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches.
NICE TO HAVE:
- Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience.
- Lead generation, marketplaces, real estate, sales technology, or marketing automation background.
- Ranking, scoring, prediction, experimentation, or data pipeline experience.
- Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data.
- MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines.
- Track record taking a product or automation from zero to one in a fast-moving startup.
WHAT WE OFFER:
- Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace.
- Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches.
- Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews.
- Compensation: Competitive fixed base salary above the market average.
- Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff.
- Time Off: 15 paid vacation days plus 5 paid sick days annually.
- Growth: Unlimited learning policy — paid courses, books, and growth resources.
- AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows.
- Ownership: Real decision-making power and direct ownership of your outcomes.
Location: Remote, 4+ hour overlap with Asia/Dubai
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
PHD is required
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $25-$30 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
- Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
LLM integrations, AI agents, and retrieval-augmented workflows
- Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirements
- Develop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standard
- Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation tracking
- Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation items
- Support audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systems
- Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligations
- Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metrics
- Monitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendations
- Support security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
QUALIFICATIONS:
- 6+ years of experience in Governance, Risk & Compliance, including risk assessment,
policy development, audit coordination, and third-party risk management
- Demonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems
- Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standards
- Hands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providers
- Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards
- Strong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirements
- Experience supporting regulatory readiness or compliance efforts related to AI systems
- Proven ability to collaborate with engineering and security teams to validate control
implementation and remediation
- Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
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
.
Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.
This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.
Responsibilities:
Design the Future of Ads Identity:
Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
Advance Lift Methodologies & Experimentation:
Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
Maximize Signal for Predictive Performance:
Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
Define Ground Truth & Evaluation Frameworks:
Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
Lead Through Cross-Functional and Technical Influence:
Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
Qualifications:
Required:
Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 10+ years of industry experience in applied science or data science roles
For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
Deep understanding of the ads ecosystem
Demonstrated expertise in at least one of the following areas:
Measurement & Experimentation at Scale (with focus on lift and attribution)
Identity Graph Creation & Resolution Methodology and Infrastructure
Predictive Modeling with Signal Loss
Advanced proficiency in statistical programming (Python or R) and SQL.
Experience with machine learning or optimization techniques
Strong understanding of experimental design, causal inference, or A/B testing methodologies
Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams
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
#LI-Remote
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:
$217,000
—
$303,900 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: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Product Research
Location: Remote, US
Compensation Range: $200,000 to $230,000 base plus bonus and equity
What You’ll Do:
The Huntress Product Research team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Principal Product Researcher, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. Competitive candidates have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to differentiate yourself.
As you can imagine, success doesn’t happen in a vacuum. An effective Product Researcher fosters highly collaborative environments between the Product, Engineering, and Security teams to accelerate our mission and secure the 99% of businesses that fall below the enterprise poverty line. This collaboration is needed to produce and prioritize a unified technical vision that ultimately delivers our most impactful features and capabilities.
We defend over 5M endpoints for 225,000+ mid-sized and small-business customers, and that number continues to grow each month. Given this market’s tighter budget, it’s not financially feasible to assign human analysts to each client. The Security Operations team addresses this challenge head-on by building and scaling highly automated efficiencies—often lightly augmented by our SOC — that make intruders earn every inch of their access while maintaining affordability and healthy gross margins.
Roles and Responsibilities:
Identify innovative ways to detect Windows OS threats
Develop cross-platform features that leverage telemetry from common OS subsystems such as file system, memory, process, and network activity
Research and development of sensor capabilities to provide visibility and detection support for attack techniques across supported Windows OS versions
Work collaboratively with internal engineering and detection teams to implement detection logic
Identify and evaluate new telemetry opportunities
Identify and address gaps in product coverage
Respond to product escalations
Perform False Positive and False Negative investigations
Lead product research initiatives to develop and evaluate security product strategies and technologies
Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Threat Operations teams
Applies AI as a practical part of day-to-day product research work to improve the speed, quality, and impact of research outputs
Uses AI to support information gathering, analysis, prototyping, and production of clear, decision-useful work products while maintaining accountability for the final output
Builds and reuses lightweight prompts, templates, or workflows for recurring research tasks rather than relying on one-off use
Develop internal and external technical documentation to educate customers and communicate research findings to adjacent teams about security risks and opportunities
Mentor and teach technical expertise to advance the broader community
Promote Huntress’ reputation through media interaction, public speaking, CFPs, CTFs, and blogs
Qualifications:
Expert in Windows OS internals, components, APIs, and design
Prior experience with Windows OS kernel coding and device drivers
Experience testing EDRs, bypasses, and evasion techniques
Comfortable with reverse engineering and using debuggers
Proficiency in multiple programming/scripting languages, such as C/C++/C#, PowerShell, and Python
Applies AI to improve research quality, speed, and outputs in day-to-day work
Commitment to clear documentation of research findings
Experience with MITRE ATT&CK matrix, SIGMA, Yara, and Elasticsearch/Kibana
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: London
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?
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
UiPath’s Intelligence Document Processing drives understanding of the documents and messages on which a business runs: invoices, claims, contracts, customer emails. We use frontier LLMs to turn all of that into structured data that automations and AI agents can act on. You'll be building the product that does it: the ingestion and extraction pipelines, the APIs customers build their operations on top of, and the systems that make those models useful, fast and trustworthy at enterprise scale.
Increasingly that work is agentic. What you build is what lets AI agents ingest, understand, retrieve and reason over enterprise documents at volume, without giving up accuracy, security or governance.
It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside a bank's own air-gapped datacentre, and has to be good enough that a business will act on its output. Knowing how well the models are actually doing, and what to do when the answer is "not well enough", is a large part of the job.
You'll write in several languages here, and pick up new ones as the problem demands. We care much more about how you think than about what you've written it in. We're looking for someone who loves building things, learns fast, and wants to own product outcomes rather than tickets.
WHAT YOU'LL DO AT UIPATH
- Work with engineers, product managers and customers to design, build and operate the AI systems behind UiPath's document processing products.
- Build across the pipeline: ingestion, parsing and extraction, indexing and retrieval, and the evaluation that tells us any of it is working.
- Take features from idea to production and stay with them, measuring whether they actually worked, and improving them when they didn't.
- Solve genuinely hard problems in concurrency, latency and distributed systems, so the platform holds up under high-volume production workloads.
- Build for environments we don't control: multi-cloud, on-premises, air-gapped, and under strict security and compliance requirements.
- Use coding agents as a serious part of your toolkit, and help the team get better at it. Where to trust them, where not to, and how to keep quality high as the tooling changes underneath us.
- Work with teams across UiPath and across locations to innovate and build best-in-class document processing, and occasionally with customers directly. Because the fastest way to understand a product is to watch someone use it.
- Contribute to our engineering culture: mentor, review, hire, and push back when something isn't good enough.
WHAT YOU'LL BRING TO THE TEAM
- A solid track record (5+ years) building and operating large-scale commercial services that real customers depend on.
- Strong programming ability and the confidence to pick up whatever language a problem calls for. You'll meet Python, Rust and C# here, but we don't expect you to arrive knowing them all.
- Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written.
- Comfort with data at scale: SQL, and the trade-offs between different storage and search systems.
- Experience working with coding agents, and opinions about them, What responsible use looks like, where they earn their keep and where they cost you, and how you keep evaluating them in an ecosystem that changes every few months.
- An appreciation for tools that catch bugs before runtime — type systems, tests, and designs that make bad states unrepresentable. Especially in the age of coding agents.
- A pragmatic grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook.
- Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust.
- Familiarity with document processing is a plus: OCR, layout, and the messy reality of documents as they actually arrive.
- An opinion on what makes good code and good architecture, and the ability to argue it, including against us.
- You're a builder and a problem-solver at heart.
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: Almaty, Kazakhstan
Workplace: OnSite
ABOUT HIGGSFIELD AI
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We're looking for a magnetic on-camera talent to front our video content. Your job is to shine in front of the camera, bring fresh creative ideas to the table, and know our product inside and out so you can showcase it in a way that truly resonates with millions of viewers.
Everyone at Higgsfield is an A-player. If winning is your default setting, you'll fit right in.
WHAT YOU'LL DO
• Be the on-camera talent for our video content, bringing energy and personality to every piece.
• Create engaging, high-quality videos that resonate with a global audience.
• Contribute creative ideas — concepts, hooks, and formats that stand out.
• Collaborate with product, design, and growth teams to amplify reach.
• Experiment with new formats, styles, and storytelling approaches.
• Help build a consistent, recognizable video presence for the Higgsfield brand.
WHAT YOU BRING (MUST-HAVES)
• Native-level English fluency
• Strong on-camera charisma.
• Confident screen presence.
• High energy, extreme ownership, and resilience in a fast-paced startup environment.
• Highly organized, with the ability to manage multiple production tasks at once.
• Genuine curiosity and drive to dive deep into prompt engineering and AI workflows.
NICE-TO-HAVES
• Previous experience hosting video content or building an audience on social platforms.
• Creative storytelling skills.
• Knowledge of social media growth strategies and analytics.
• Basic production skills (camera, lighting, editing).
WHAT WE OFFER
• Competitive salary in USD.
• On-site role at our Almaty office.
• Full-time position.
• A front-row seat at the fastest-growing GenAI company in the world.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Own the account backbone of a CeFi platform trusted by
millions
— login, registration, account security, MFA, Passkey — where a single security regression is measured in real user funds. The more senior you are, the more you set the technical direction others build on.
What You'll Be Doing
Own account-system subsystems end-to-end
— authentication, MFA, Passkey/WebAuthn, session & device trust, account registration and recovery — including architecture, tradeoffs, and long-term evolution.
Design flows that are
secure and low-friction at millions-of-DAU scale
— the hardest tradeoff in this space.
Partner with risk & security teams to turn threat models into shipped mobile defenses.
Build our AI-native engineering practice
— design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while
safeguarding delivery quality and efficiency
.
Raise the bar
through design and code review, and by making the engineers around you better.
At the Staff level: set technical direction beyond your own subsystem and drive cross-team, cross-timezone decisions that shape the account platform.
What We Look For In You
Deep, hands-on experience building
native iOS and/or Android
— you understand the platform, not just a framework on top of it.
Experience with a
cross-platform / shared business-logic layer
. We build ours in
Rust + UniFFI
; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach —
KMP, Flutter, or React Native
— transfers well and is valued.
Fluent in at least one of:
Swift / Kotlin / Rust / Objective-C / Java / JavaScript
, with strong CS fundamentals.
Architecture experience with large-scale mobile apps
— you've applied maintainable design patterns and own solutions from requirements through to production.
Hands-on with
mobile authentication & security
— OAuth/OIDC, MFA, secure storage (Keychain/Keystore), biometrics.
Direct experience with Passkey / WebAuthn / FIDO2 is a strong advantage
— it's live in our stack and central to what you'll work on.
Solid grasp of threat modeling and the mobile attack surface.
You apply AI deeply in your own engineering — not just code generation
. You've built, or are driven to build, automated development workflows and harnesses that make delivery
both faster and more reliable
. Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped.
Comfortable with
ambiguity and high scale
— you've debugged problems that only appear under real production load.
Signals we value: you naturally
raise the standard of teams you join
, mentor without being asked, and can grow into a technical anchor for the group.
Nice-To-Haves
Fraud
/ risk, cryptography, or regulated-industry (fintech)
experience.
Experience with
mini-program or dynamic/hot-update frameworks
.
Crypto trading / Web3 experience.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Berlin Office
Workplace: Hybrid
About the role
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Forward Deployed Engineer (Ops). You'll spend much of your time working directly with enterprise customers, acting as their trusted technical partner to investigate issues, guide best practices, and help them get the most value from Taktile's AI platform. You will work closely with Taktile’s Engineering, Product and Customer Success Teams, ensuring our customers derive maximum value from Taktile while enjoying a top-tier experience.
If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with a Decision Platform, REST APIs, Python, and SQL, you'll thrive here.
What You’ll Do as a Forward Deployed Engineer (Ops)
- Develop a deep understanding of the Taktile platform and the value it can unlock for our customers.
- Support post-onboarding customers with technical problems and product inquiries, maximizing the full potential of our agentic AI workflows for complex decisioning.
- Work with Product and Engineering to translate customer insights into product improvements, ensuring Taktile continues to solve real business and technical problems.
- Leverage AI to create reusable collateral, best practices, tools, and automations that level up the Customer Success team.
- Build strong relationships with Taktile's core users within customer teams.
About you
- You have 1–2 years of experience in a customer-facing technical role, partnering directly with enterprise customers to troubleshoot technical issues, advise on best practices, and deliver successful outcomes. Experience as a Solutions Engineer, Technical Account Manager, Forward Deployed Engineer, Customer Success Engineer, or Technical Consultant is preferred.
- You are familiar with AI concepts including prompt engineering, large language models, and AI Agents.
- You are curious and customer-centric, caring deeply about the Taktile platform experience.
- You enjoy solving technical problems and finding innovative solutions to customer issues.
- You have strong knowledge of APIs and data formats such as JSON and XML.
- You are proficient in Python and SQL.
- You have strong analytical skills and a hands-on mentality.
- You communicate clearly in English with a wide range of customer profiles (engineers, business analysts, risk managers).
- You enjoy working directly with customers and are confident leading technical conversations, asking thoughtful questions, and explaining complex technical concepts to both technical and non-technical audiences.
- You are open to a hybrid work model and can work from our Berlin office at least three days per week.
Ideal Qualifications (but Not Required)
- You have a proven ability to navigate, query, and interpret complex systems and application logs.
- You have acquired domain expertise in the financial services industry (banking, insurance, lending, payments, etc.).
- You have the ability to work flexibly, with a willingness to occasionally work outside of standard business hours.
What we offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage AI company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Develop deep expertise in prompt engineering and agentic AI architectures to automate institutions' most complex decisions.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at http://taktile.com/taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com
Location: New York, NY, USA; San Francisco, CA, USA
About the role
Jade is Chime’s AI financial partner, helping members better understand and manage their money. We’re looking for a senior software engineer who enjoys building reliable products and systems, solving practical problems, and learning new technologies.
You’ll help make Jade more discoverable, relevant, and engaging by connecting members with meaningful AI-powered experiences. You’ll work across the stack, building services, APIs, and member-facing features that power Jade. Our backend primarily uses Python, and we welcome engineers with experience in other languages who are interested in learning it. You’ll also help improve the quality, reliability, and performance of Jade as the product evolves.
We value strong engineering fundamentals, thoughtful problem-solving, and curiosity. Prior experience with AI or machine learning is preferred, but not required.
In this role, you can expect to
Design, build, and scale full-stack features across backend services, APIs, and mobile and web applications to support Jade’s capabilities.
Own complex projects end-to-end, from technical design and implementation through testing and rollout.
Partner with product, design, data science, and engineering teams to understand member needs, define experiments, and improve the member experience.
Contribute to testing, evaluations, and experimentation to measure quality and understand the impact of new features.
Identify technical challenges and drive improvements in system reliability, performance, and scalability.
Contribute to engineering best practices through code reviews, mentorship, and technical discussions.
To thrive in this role, you have
5+ years developing software in a production environment at scale.
Proficiency in a backend programming language, such as Python or Ruby, with the ability to write clean, maintainable, and well-tested code.
Experience with modern front-end technologies, such as React Native, React, or TypeScript, with an emphasis on mobile development.
Experience building backend services and APIs, working with databases, and designing distributed systems.
Experience deploying and supporting production applications, including monitoring, troubleshooting, and working with cloud infrastructure.
Experience owning complex projects, making technical decisions, and delivering features end-to-end across teams.
Ability to proactively identify technical challenges, propose solutions, and drive improvements in system reliability, performance, and engineering practices.
A product mindset with an interest in using data and experimentation to improve member experiences.
Effective communication and collaboration skills, with the ability to influence technical decisions across teams.
Experience mentoring other engineers and contributing to code reviews, technical design discussions, and engineering best practices.
Preferred qualifications
Experience with Python and its backend development ecosystem.
Familiarity with large language models (LLMs), including using model APIs, prompts, or tools to build applications.
Exposure to AI evaluations (“evals”), such as using test cases, datasets, or experiments to measure response quality and identify regressions.
Experience with AI development tools or frameworks, such as LangChain, LangSmith, Amazon Bedrock or similar tools.
#LI-Onsite #LI-SL1
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$187,000
—
$259,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Own OKX's in-app messaging end to end — from a
fully in-house IM engine
to a
messaging platform
powering community chat, payments, VIP service, and user-to-agent (AI) chat for millions. The more senior you are, the more you set the technical direction others build on.
What You'll Be Doing
Build our multi-platform unified IM
SDK
— unify the logic core across platforms and push performance and stability as a lever for growth.
Platformize the engine
— turn it into a platform that product teams build business scenarios on (community chat, payments, VIP service).
Build user-to-agent (AI) chat
— the conversational AI surface on top of IM, from real-time delivery to the agent interaction experience.
Own delivery end-to-end
— real-time WebSocket long-connection and offline push across overseas + China vendor channels — so messages reach users whether the app is open or not.
Push latency, reliability, and battery/memory
to their limits under real production and weak-network conditions.
Build our AI-native engineering practice
— design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency.
Raise the bar
through design and code review, and by making the engineers around you better.
At the Staff level: set technical direction beyond your own area and drive cross-team decisions that shape the IM platform.
What We Look For In You
Deep, hands-on experience building
native iOS and/or Android
— you understand the platform, not just a framework on top of it.
Experience with a
cross-platform / shared business-logic layer
. We build ours in
Rust + UniFFI
; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach —
KMP, Flutter, or React Native
— transfers well and is valued.
Fluent in at least one of:
Swift / Kotlin / Rust / Objective-C / Java / JavaScript
, with strong CS fundamentals.
Architecture experience with large-scale mobile apps
— you've applied maintainable design patterns and own solutions from requirements through to production.
Depth in at least one layer of the messaging stack, and the ability to work across both
— whether your strength is chat/feature-level UX or real-time / networking internals: WebSocket / long-connection, and/or offline push delivery across overseas + China channels (APNs, FCM, and China vendor push). Bonus if you have the depth to reason about a messaging engine from the ground up, not just consume one.
Strong
mobile performance
chops (memory, battery, concurrency, weak-network).
You apply AI deeply in your own engineering — not just code generation
. You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable. Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped — and you're excited to build user-facing conversational / agent-chat experiences too.
Comfortable with
ambiguity and high scale
— you've debugged problems that only appear under real production load.
Signals we value: you naturally
raise the standard of teams you join
, mentor without being asked, and can grow into a technical anchor for the group.
Nice-To-Haves
Built or maintained an
IM / chat product, or an
SDK
consumed by other teams
.
Experience with
mini-program or dynamic/hot-update frameworks
.
Crypto trading / Web3 experience.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Задачи:
- Разрабатывать и дообучать модели NLP/LLM: эмбеддинги, генерация, RAG-подходы.
- Исследовать новые архитектуры, ставить эксперименты, проводить A/B-тесты.
- Проектировать и развивать сервисы на базе языковых моделей: ассистенты, интеллектуальный поиск, генерация документов и кода.
- Оптимизировать инференс и внедрять модели в продакшн совместно с ML и backend-командами.
- Работать с данными: предобработка, векторизация, организационное хранение knowledge-баз.
Требования:
- 3+ лет коммерческого опыта в NLP/LLM.
- Глубокая математика: ML, статистика, теория вероятностей.
- Python + DS-стек: pandas/polars, numpy, scipy, scikit-learn.
- Практика с PyTorch, Transformers, sentence-transformers, LangChain / LangGraph / LlamaIndex.
- Опыт работы с моделями Qwen, DeepSeek, Llama, Mistral; SFT, LoRA, QLoRA, prompt-tuning.
- Навыки работы с Docker, Kubernetes, CI/CD.
- Умение настраивать и оптимизировать RAG-пайплайны.
Будет плюсом:
- Опыт в финтехе или корпоративных экосистемах.
- Работа с Hadoop (Hive, PySpark), Greenplum, PostgreSQL.
- Понимание интеграции LLM в бизнес-процессы.
- Опыт работы в кросс-функциональных командах.
Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program.
This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Key responsibilities
Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces
Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access
Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse
Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems
Work with threat intelligence on emerging credential-abuse patterns and the actors behind them
Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios
Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture
Act as the enforcement SME when account compromise intersects with active abuse investigations
Minimum qualifications
Experience in trust and safety, fraud investigation, security operations, or a related field
Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response
Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection
Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working
A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers
Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders
Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams
Preferred qualifications
Familiarity with credential-theft ecosystems or threat intelligence tooling
Experience working with fraud/risk vendors (e.g., device or network intelligence platforms)
Experience with API platform abuse specifically, not just consumer-account ATO
A deep interest in AI safety and responsible technology development
Experience writing effective prompts for generative AI systems in a content review or enforcement context
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоJapan (Remote)
УдалённоseniorSpain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоseniorNetherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland
УдалённоRemote - United States
ОфисBoston, MA
УдалённоRemote - United States
United States of America
juniorГеография найма не уточнена
ОфисseniorLondon
seniorHong Kong, Hong Kong SAR; At the Staff level: set technical direction beyond your own subsystem and drive cross-team, cross-timezone decisions that shape the account platform
ГибридBerlin Office
seniorNew York, NY, USA; San Francisco, CA, USA
seniorHong Kong, Hong Kong SAR
San Francisco, CA | New York City, NY | Washington, DC
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