White Circle

Location: Global Workplace: Remote TL;DR: We’re looking for a generalist Recruiter to help us build one of the strongest teams in AI safety. You’ll own full-cycle hiring across research, engineering, go-to-market, operations, and design, partnering with the Talent Lead and hiring managers to attract exceptional talent across the US and Europe. About the role We are looking for a Recruiter to help scale White Circle by identifying, attracting, and hiring exceptional talent across every function of the company. This is a true generalist role: one week you may be closing a Research Engineer, the next an Account Executive, a Product Designer, or an Operations hire. You’re comfortable switching between very different roles, quickly learning what "exceptional" looks like in each, and engaging talent that is often not actively looking for new opportunities. The ideal candidate has already delivered strong hiring results in a fast-growing startup and combines solid recruiting fundamentals with genuine curiosity about technology, AI systems, and how world-class teams are built. You will - Own full-cycle recruitment from sourcing through offer acceptance - Hire across research, engineering, GTM, operations, and design, often running several very different searches at once - Source and engage exceptional talent across the US and European markets - Quickly get up to speed on each new function: what the role does, what great looks like, and where that talent can be found - Develop a working understanding of AI, LLMs, and AI safety to assess candidates and communicate the opportunity - Conduct structured interviews and evaluate candidates for capability, problem-solving ability, and cultural alignment - Drive an exceptional candidate experience throughout the hiring process - Track recruiting performance and continuously improve hiring processes, tooling, and workflows - Act as a trusted talent advisor to hiring managers and leadership You’ll fit right in if you - Have 3+ years of full-cycle recruiting experience in high-growth startups or technology companies - Have hired across multiple functions, both technical (research, engineering) and non-technical (GTM, operations, design), and enjoy the variety - Have a track record of results you delivered yourself: roles closed, teams built, and pipelines created from scratch while the company was scaling - Have experience hiring across the US, UK, and EU - Understand the fundamentals of software engineering and modern AI systems well enough to hold a credible conversation with technical candidates - Are highly proactive and resourceful when sourcing difficult-to-find talent - Know how to build relationships with passive candidates and manage complex hiring processes - Have excellent communication and stakeholder management skills - Thrive in a constantly changing environment, where priorities shift, new roles open quickly, and ambiguity is normal - Speak and write fluent English (C1+) A big plus - Experience recruiting AI Engineers, Research Engineers, Applied Scientists, or AI Researchers - Experience hiring for AI startups, research organisations, or developer-focused companies - Experience as one of the first recruiters at an early-stage startup - Familiarity with modern sourcing tools, recruiting automation, and AI-powered recruiting workflows Why White Circle - Meaningful salary and equity package - Paid time off in line with your local regulations - All the hardware, tools, and services you need - Covered subscriptions for AI agents - Team off-sites twice a year — we’ve recently been to the Alps and Saint-Tropez How we hire 1. Introductory call with Talent (25 min) 2. Take-home assignment 3. Interview with Head of People (45 mins) 4. Final interview with CEO (45 min)

Location: NY; SF; LA Workplace: Remote TL;DR: We’re looking for a Design Engineer to turn complex AI safety workflows into simple, intuitive interfaces used by engineering and research teams every day. You’ll work across design and code: shape flows in Figma, then build them in production with React, TypeScript and our component library. You’ll own the gap between "designed" and "shipped" so that what users get is exactly what was intended, down to the last pixel and transition. ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need WHAT YOU’LL DO - Design and build product interfaces end to end, from Figma exploration to production-ready React code - Own our design system in both Figma and code: tokens, components, variants, documentation. Keep the two in sync - Build and polish UI components with attention to states, edge cases, accessibility, and performance - Prototype interactions and new flows in code to test ideas with real data before we commit to them - Craft motion and micro-interactions that make complex workflows feel clear and responsive - Raise the quality bar of the product: spot UI inconsistencies, fix them yourself, ship - Work directly with product, engineering, and research. Expect fast iterations and full ownership WHAT WE’RE LOOKING FOR - 6+ years of experience in product design, frontend engineering, or design engineering, with a portfolio showing both design and shipped code - Strong frontend skills: React, TypeScript, modern CSS (Flexbox, Grid, custom properties, container queries) - Experience building and maintaining design systems in code, e.g. design tokens, component APIs, Storybook or similar - Deep Figma knowledge: Auto Layout, Components, Variants, Variables, Prototyping - Experience with motion and animation in code (Framer Motion / Motion, CSS transitions, or similar) - A track record of designing clear, functional web interfaces, ideally for technical or data-heavy products (dashboards, developer tools, B2B SaaS) - Solid grasp of accessibility (WCAG, keyboard navigation, ARIA) and responsive design - Comfort working in a real codebase: Git, code review, working alongside engineers - You use AI tools daily in your workflow (Cursor, Claude Code, v0, or similar) and know how to get production-quality results out of them   BONUS POINTS - Experience with Tailwind CSS, Radix UI / shadcn/ui, or other headless component libraries - Next.js or Vite experience - Data visualization (D3, Recharts, visx) - Figma plugin or Figma-to-code pipeline experience (Tokens Studio, Style Dictionary, Code Connect) - Interest in AI safety, LLMs, or developer tooling COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call (25 min) 2. Take-home assignment 3. Interview with Head of Design & Creative and Full-stack Engineer (45 min) 4. Additional interview (depending on the interview process) Please submit your application in English

Location: NY; SF; LA Workplace: Remote TL;DR: We’re looking for a Communications Designer to shape how White Circle looks and feels across our website, product, and brand. You’ll design landing pages, build visual systems, create graphics and illustrations, and explore motion, 3D, and other ways to make the brand feel alive.   ABOUT US White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU’LL DO - Design landing pages from the first idea to polished, responsive final designs - Develop visual languages, patterns, graphic systems, and illustrations that can be used across the website and product - Help evolve the White Circle brand and turn it into something people recognise across different surfaces - Bring brand ideas into the product, and find ways for the product itself to express the brand - Create concepts for motion, interactions, animations, and other dynamic experiences - Design visuals for launches, campaigns, social, events, and other brand moments - Explore new visual directions and turn rough ideas into strong creative concepts - Work closely with product, engineering, and research teams to make sure ideas actually make it into the product - Move comfortably between concept, art direction, and pixel-level execution   YOU'LL FIT IN IF - You have 5+ years of experience in a similar role - You have a strong portfolio across brand and digital design, especially web - You have excellent visual taste and care deeply about typography, composition, layout, and details - You know how to design for the web and understand responsive layouts beyond just designing desktop screens - You’re comfortable creating graphics and illustrations and experimenting with different visual styles - You understand motion and can think about how a static visual idea could move and behave - You can take a project from a rough concept to a polished final result without needing every step defined for you - You’re curious about technology, AI, and what’s happening at the intersection of design and software - You communicate clearly, work independently, and move quickly   A big plus - Motion design skills - Experience with 3D - Creative coding or generative design - Ability to prototype ideas in code   WHY WHITE CIRCLE - Small team that moves fast - No corporate, no politics - Meaningful equity package - Paid time off in line with your local regulations, no matter where you work from - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez   PROCESS 1. Intro call with Talent (25 mins) 2. Design take-home task 3. Interview with Head of Design & Creative, Elena (45 mins) 4. Additional interview (depending on the interview process)

Location: Global Workplace: Remote TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)

Location: NY; SF; LA Workplace: Remote TL;DR: We care a lot about how White Circle exists outside of the product too — from things we make for our team and customers to objects, merch, events, and physical experiences around the brand. We want to make things people actually want to keep, not standard corporate merch.   ABOUT US White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU’LL DO - Turn creative ideas from our design team into real physical objects - Figure out how to manufacture things that don't have an obvious supplier or ready-made solution - Find factories, workshops, craftspeople, printers, manufacturers, and other production partners around the world - Work with designers to choose materials, finishes, construction methods, packaging, and production techniques - Request and compare quotes, samples, prototypes, MOQs, timelines, and manufacturing options - Own production from the first prototype to the final delivery - Develop custom merch, clothing, accessories, printed objects, packaging, gifts, event materials, and weird one-off ideas we haven't thought of yet - Find ways to make something completely custom instead of defaulting to existing merch catalogues - Review samples and make sure the final result matches the original design - Manage budgets, production schedules, shipping, customs, and logistics - Build a network of great manufacturers and specialists we can work with repeatedly   YOU'LL FIT IN IF YOU - Based in the US - Have 5+ years of experience in a similar role - Have experience producing physical products from scratch - Know how to find the right manufacturer when the answer isn't obvious - Are comfortable contacting dozens of suppliers, asking questions, negotiating, and figuring things out independently - Understand materials, printing, manufacturing, packaging, and production processes - Have strong attention to detail and can spot when a sample is slightly wrong - Can translate a visual idea or rough creative brief into production requirements - Can manage several suppliers and production timelines at the same time - Have good taste and understands why the exact material, weight, finish, or packaging matters - Are fluent in English   A big plus - You've worked in fashion, product design, industrial design, publishing, creative production, or a design studio - You've produced unusual merch, collectibles, objects, packaging, or limited-edition products - You already have a network of factories, workshops, printers, or manufacturers in the US, Europe, or Asia - You understand garment production and can work directly with factories rather than print-on-demand merch suppliers - You've worked with brands where physical products are treated as part of the brand, not promotional giveaways WHY WHITE CIRCLE - Meaningful salary and equity package - Paid time off in line with your local regulations - All the hardware, tools, and services you need - A lot of creative freedom to make things that don't look like startup merch - Team off-sites twice a year — we’ve recently been to the Alps and Saint-Tropez   HOW WE HIRE 1. Intro call with Talent (25 mins) 2. Take-home test assignment 3. Interview with Head of Design & Creative * an additional interview with one or more team members may be added depending on the interview process

Location: NY; SF; LA Workplace: Remote TL;DR: We’re looking for a Content Lead to turn complex AI safety topics into clear, compelling stories that build trust, shape White Circle’s voice, and drive product adoption. You’ll own content end-to-end: find the story, define the angle, write it, publish it, and make sure it reaches the right technical audience. ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. WHAT YOU'LL DO - Own White Circle's content vision and editorial direction - Turn customer conversations into case studies, customer stories, and reference materials - Write and publish long-form content across Medium, Substack, LinkedIn, X, and our website - Develop technical and non-technical content explaining AI safety, evaluation, governance, and reliability - Create launch narratives for new products, features, and research initiatives - Partner closely with product, as well as supporting wider business teams where needed - Help founders maintain a consistent public voice across LinkedIn, X, conferences, and other channels - Build repeatable processes for content creation, publication, and distribution - Experiment with new formats, channels, and ways of reaching technical audience WE'RE LOOKING FOR SOMEONE WHO - Is an exceptional writer - Has 5+ years of experience in a similar role - Can take a complex technical topic and explain it clearly without oversimplifying it - Knows how to find interesting stories inside products, customers, and technology - Has strong editorial judgment - Can independently identify what is worth publishing and what isn't - Has experience creating content for technical audiences - Can move comfortably between strategic thinking and hands-on writing - Is fluent in English A big plus - You have an engineering, computer science, or technical background - You have built an audience through writing - You have a track record of making technical topics compelling, whether at a developer tools or AI company, in tech journalism, or through your own writing and audience - You've written content that materially influenced product adoption, company positioning, or revenue generation COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment 3. Final conversation with CEO and Head of Design & Creative (45 min) 4. Additional interview (depending on the interview process) Along with your application, please send us 3 pieces of writing you're most proud of and tell us why you chose them.

Location: NY; SF Workplace: Remote TLDR: We’re looking for a hands-on Finance Ops to own day-to-day accounting and finance operations: from reviewing expenses, invoices, and receipts to financial reporting, forecasting, and cash & burn tracking.   ABOUT US White https://whitecircle.ai http://whitecircle.comCircle https://whitecircle.ai is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   YOU WILL - Own day-to-day finance and accounting operations across different entities, with a focus on the US entity and US GAAP accounting - Own the monthly financial close and ensure our reporting and financial data are accurate and up to date - Work with external accountants, tax advisors, auditors, and other finance providers where needed - Build and maintain financial reporting that gives a clear view of revenue, expenses, cash, burn, runway, and overall financial health - Own budgeting and forecasting processes, including estimating revenue, expenses, headcount, cash needs, and runway - Build and maintain financial models to support hiring, spending, pricing, fundraising, and other strategic decisions - Help design and improve accounting and finance processes as we scale - Prepare financial information and analyses for investors, fundraising processes, board materials, and due diligence - Identify opportunities to automate repetitive finance workflows and improve the quality and speed of financial reporting   YOU’LL FIT RIGHT IN IF YOU - You have hands-on experience with US GAAP accounting (must-have) - You have strong accounting fundamentals and are comfortable owning the financial close and financial reporting process - You can work independently and take ownership of the finance function without needing a large team around you - You have experience with accounting or finance in a multi-entity or group company setup A BIG PLUS - CPA qualification - Experience with international accounting - Experience with financial forecasting, budgeting, cash flow planning, and burn/runway tracking - Build lightweight dashboards and internal tools when needed to make financial analysis more accessible - Comfortable building financial models from scratch and using them to answer real business questions - Experience setting up finance and accounting processes from scratch   COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella   HOW WE HIRE 1. Intro call (25 min) 2. Take-home test assignment 3. Final call with CEO & Head of Ops (45 min)

Location: NY; SF; LA Workplace: Remote TL;DR: We’re looking for a Web Designer (Communication) to shape how White Circle looks and feels across our website, product, and brand. You’ll design landing pages, build visual systems, create graphics and illustrations, and explore motion, 3D, and other ways to make the brand feel alive. ABOUT US White https://whitecircle.ai/Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. WHAT YOU’LL DO - Design landing pages from the first idea to polished, responsive final designs - Develop visual languages, patterns, graphic systems, and illustrations that can be used across the website and product - Help evolve the White Circle brand and turn it into something people recognise across different surfaces - Bring brand ideas into the product, and find ways for the product itself to express the brand - Create concepts for motion, interactions, animations, and other dynamic experiences - Design visuals for launches, campaigns, social, events, and other brand moments - Explore new visual directions and turn rough ideas into strong creative concepts - Work closely with product, engineering, and research teams to make sure ideas actually make it into the product - Move comfortably between concept, art direction, and pixel-level execution YOU'LL FIT IN IF - You have 5+ years of experience in a similar role - You have a strong portfolio across brand and digital design, especially web - You have excellent visual taste and care deeply about typography, composition, layout, and details - You know how to design for the web and understand responsive layouts beyond just designing desktop screens - You’re comfortable creating graphics and illustrations and experimenting with different visual styles - You understand motion and can think about how a static visual idea could move and behave - You can take a project from a rough concept to a polished final result without needing every step defined for you - You’re curious about technology, AI, and what’s happening at the intersection of design and software - You communicate clearly, work independently, and move quickly A big plus - Motion design skills - Experience with 3D - Creative coding or generative design - Ability to prototype ideas in code WHY WHITE CIRCLE - Small team that moves fast - No corporate, no politics - Meaningful equity package - Paid time off in line with your local regulations, no matter where you work from - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez PROCESS 1. Intro call with Talent (25 mins) 2. Design take-home task 3. Interview with Head of Design & Creative, Elena (45 mins) 4. Additional interview (depending on the interview process)

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a Data Labeling Lead to build our annotation team from zero – setting quality standards, designing evaluation frameworks, and running the labeling operations behind our safety evals, RLHF, and benchmarks. You'll own quality, throughput, and cost while working side by side with our AI researchers. ABOUT US White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life-changing, but at a point where demand has been proven. IN THIS ROLE, YOU WILL - Build from scratch and lead the Data Labeling team (hiring, coaching, and performance management) - Define annotation guidelines, quality standards, and evaluation frameworks - Develop quality assurance processes, calibration sessions, and auditing systems - Partner with AI researchers and engineers to translate research objectives into labeling workflows - Prioritise labeling projects based on business and research needs - Monitor operational metrics including quality, consistency, throughput, and cost - Improve annotation tooling, automation, and workflow efficiency - Lead complex AI evaluation projects, including safety, preference ranking, RLHF, policy evaluation, and benchmark creation - Analyse disagreement patterns and edge cases to improve guidelines and model performance - Manage vendor relationships and ensure consistent quality across distributed teams - Build reporting dashboards and communicate operational insights to leadership - Foster a culture of continuous improvement, accountability, and operational excellence WE'RE LOOKING FOR SOMEONE WHO - Has experience leading data annotation or AI evaluation teams - Has strong operational and people management skills - Understands AI model evaluation, LLM behaviour, and modern annotation workflows - Can design scalable processes without sacrificing quality - Communicates clearly across technical and non-technical teams - Thrives in fast-moving startup environments YOU MIGHT BE A GREAT FIT IF YOU - Have managed annotation programs for LLMs, generative AI, or machine learning - Have experience with RLHF, preference data collection, safety evaluations, or benchmark creation - Have worked in Trust & Safety, AI Safety, Content Moderation, or ML Ops - Have managed distributed or global annotation teams - Have experience with vendor management and outsourcing operations BONUS POINTS - Familiarity with prompt engineering and AI safety policies - SQL, Python, or data analysis experience - Experience building internal annotation platforms or workflow automation - Background in linguistics, cognitive science, machine learning, or data operations Important note This role involves overseeing projects that may include offensive, harmful, violent, sexual, or otherwise disturbing content. You'll be responsible for ensuring reviewers have the tools, guidance, and support necessary to perform this work safely and consistently. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - A spacious office in the heart of Paris’s 2nd arrondissement, with a flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Language lessons to help you improve your English or French - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call (25 min) 2. Take-home test assignment 3. Final conversation with CEO (45 min) Please submit your application in English.

Location: Paris; London Workplace: Hybrid TL;DR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform handling 100M+ API calls/month. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. You will - Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints - Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio - Design and run experiments: architecture changes, data mixes, training recipes - Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation - Train and optimize MoE architectures for efficient multimodal inference - Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text - Optimize models for production: quantization, distillation, batching, streaming and low-latency serving - Deploy models end-to-end: from research checkpoint to production serving - Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding You’ll fit right in if you - 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic) - Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar) - Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar) - Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modelling — not just for text - Experience with video and/or audio sequence modelling: temporal modelling, long-context processing, efficient attention, streaming inference - Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores - Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation - Familiar with MoE architectures and their trade-offs for multimodal workloads - Strong engineering fundamentals: clean code, version control, testing, documentation A big plus - Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction) Why White Circle - Competitive compensation package, including equity - Flexible time off - Paid time off in line with your local regulations, no matter where you work from - Work from Paris or London (hybrid) + relocation package for Paris - Best medical insurance in France - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, tools, and services you need - Covered subscriptions for AI agents and IDEs - Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez   Process 1. Introductory call with HR (25 min) 2. Take-home test assignment 3. Technical interview with Head of Applied Research (60 min) 4. Final conversation with CEO (45 min)

Location: Paris; London Workplace: Hybrid TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   What you’ll do - Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track. - Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. - Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). - Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next). - Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests. - Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows. You'll fit right in if you - Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. - Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. - Are comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs. - Know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility. - Have prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability A big plus - A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage - Experience training models at a frontier or near-frontier lab, or leading open-source model releases with documented adoption - Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO-style methods, or novel alignment approaches - Experience with moderation, safety, or classification models at scale - Multilingual model training experience Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent Team 2. Test assignment 3. Technical interview with Head of Applied Research 4. Final conversation with CEO

Location: London Workplace: Remote TL;DR: We’re looking for a GTM Engineer to automate low-value commercial work and build the systems that generate qualified pipeline at scale. You’ll own the GTM infrastructure end to end: design the data model, keep the CRM reliable, connect the stack, deploy AI agents, automate outbound and inbound workflows, and continuously improve how we acquire and retain customers. ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven. We’re a small, highly focused team. If you want to work deeply on hard problems and build the category-defining company in AI safety - this role is for you! WHAT YOU’LL DO - Automate low-value work out of the commercial process so the Sales team can spend more time closing deals - Design and build the systems that power how we find, acquire, and retain customers (both outbound and inbound) - Own the CRM: you make sure our data is clean, structured, and reliable - Build internal tools, API integrations, and custom automation logic - Have real ownership & shape the playbook: what we build, use, how it fits together, and how it scales - Design and deploy AI agents across the GTM motion (e.g., account research, pre-call intelligence, personalised outreach, etc) - Wire it directly into our operational systems so it changes how the team works - Design the GTM data model (accounts, contacts and opportunities) - Build and manage data pipeline, enrichment and integrations across the stack - Build, ship and iterate fast YOU'LL FIT IN IF - 6+ years of experience in GTM engineering, technical RevOps, or a growth role where you were building automations and pipelines - Experience designing and scaling systems in a high-growth company - Hands-on with modern GTM tooling - Claude Code, Clay, Apollo, Instantly, n8n or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table - Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic - Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings - Experience in programmatic SEO and AEO - Analytical and experimental mindset: proven ability to design tests, measure impact, and iterate quickly. - Proven AI deployment experience (e.g., automations, agents, workflows) WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS In your first six months, we would expect you to identify the highest-converting early segments, build a functioning outbound and follow-up engine, create clear messaging for one or two strong wedges, generate a meaningful pipeline of qualified conversations, and help convert early pilots or customers. Just as importantly, we would expect the company to understand its GTM motion far better because of your work. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - An office in central London, with a flexible hybrid setup - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (30 min) 2. Take-home assignment 3. Interview with Head of Revenue & Data Engineer (60 min) 4. Final call with CEO & Head of Engineering (45 min)