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AI Scientist, Agentic CAD (AI4Engineering)

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The team You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation. This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond. The Role Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would. Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job. Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop. This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one. What You Will Do - Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks - Scale the data pipelines that produce agentic CAD training traces - Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows - Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next - Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization What We're Looking For - Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims - Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d) - Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed: you do not need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of CAD and ML It would be great if you: - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.) What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

S

Machine Learning Engineer - New Grad

Negotiable

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Team The Machine Learning team builds the model-side techniques that make SambaNova’s platform fast and capable. We train speculative decoding models that accelerate inference, develop efficient ML methods such as quantization, sparsity, and distillation, and build agentic systems on top of our foundation model serving stack. Our work spans research, applied science, and production, from novel approach design to proofs of concept and shipping to product. Reinforcement learning and post-training are within our scope and a growing part of our roadmap. About the Role As a new grad Machine Learning Engineer, you’ll train and evaluate models that make large language models cheaper and more capable to serve. Depending on your interests, that could mean training speculator (draft) models and tuning acceptance rates, compressing models without losing accuracy, or designing and evaluating agentic workflows for tool use, planning, and long-horizon tasks. You’ll work closely with the AI performance, compiler, and runtime teams to turn research results into measured end-to-end wins, and you’ll have room to pursue open problems as our reinforcement learning and post-training work ramps up. Responsibilities - Train, evaluate, and tune speculative decoding models (Dspark/Dflash, Medusa/Eagle-style heads, and multi-token prediction) to increase acceptance rates on production workloads. - Develop and implement optimization techniques, including quantization, sparsity, distillation, pruning, and parameter-efficient fine-tuning, to quantify the trade-offs between model quality, latency, and resource efficiency. - Build and evaluate agentic systems: tool calling, multi-step planning, retrieval, and long-context reasoning on top of our serving stack. - Design rigorous evaluations and benchmarks; make accuracy and quality claims that hold up under scrutiny - Translate recent research into working implementations, and run ablations to understand what actually drives the result - Partner with the AI performance, compiler, runtime, and product teams to ship model improvements into SambaNova products - Contribute to emerging areas such as reinforcement learning, post-training, and reward modeling as the roadmap expands Required Qualifications - B.S. in Computer Science, Electrical Engineering, Mathematics, or a related field - Strong programming skills in Python - Solid foundation in machine learning, linear algebra, probability, and numerical computing - Hands-on experience with PyTorch, TensorFlow, or JAX - Working knowledge of transformer architectures and the LLM training or inference pipeline - Ability to design a clean experiment, interpret results honestly, and communicate findings clearly Preferred Qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field - Research or internship experience in LLM training, post-training, or inference - Experience with speculative decoding, distillation, quantization, sparsity, or other model efficiency techniques - Experience building agentic systems, tool-calling pipelines, or LLM evaluation harnesses - Familiarity with reinforcement learning or preference optimization (RLHF, DPO, GRPO, reward modeling) - Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron) or inference frameworks such as vLLM, SGLang, or TensorRT-LLM - Publications at ML venues (NeurIPS, ICML, ICLR, ACL, EMNLP) or meaningful open source contributions Base Salary Range: Base Pay Range $131,200 - $196,800 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

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 an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more - Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built - Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude - Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team - Create technical content for startup audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events - Travel to customer sites for workshops, implementation guidance, and relationship building You may be a good fit if you have - Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built - 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production - Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly - Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events - A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial 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: $280,000 - $320,000 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. 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.

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 member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions. You'll use your technical skills and your experience with government partners to help them understand frontier AI, test it, and apply it to their public missions with a high degree of reliability and safety. This role serves Anthropic's policy, mission, and public benefit goals. In collaboration with the Policy, Product, Research, and Engineering teams, you'll help partners develop strategies and plans to evaluate and adopt leading-edge AI systems. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests around the world, while maintaining our best-in-class safety standards. Responsibilities: - Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions. - Partner closely with the Policy team to understand each partner's goals and requirements. Develop demos, pilots, prototypes, and evaluation suites that show how Claude can support their public missions, such as cyber defense. - Lead technical onboarding, enablement, and hands-on workshops for partner institutions, including national cybersecurity agencies. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API. - Act as the voice of our international partners and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need. - Travel internationally to partner institutions for senior leader meetings, technical enablement, and building relationships. - Establish a shared vision for creating solutions that enable beneficial and safe AI. - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities. You may be a good fit if you have: - 4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, international organizations, or the public sector - Experience in technology policy, AI safety, cybersecurity, or international affairs - Designed novel and innovative solutions for technical platforms in a developing mission area - Familiarity with how AI models are evaluated and tested for safety - Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) - Understanding of and experience with LLM fundamentals - The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: $240,000 - $315,000 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. 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.

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team We take frontier open-weight models (dense, mixture-of-experts with hundreds of experts, hybrid Mamba/attention, sliding-window attention, multi-token prediction) from Hugging Face to production serving on SambaNova's RDU dataflow accelerators. That means compiling them, proving them numerically correct against the reference, serving them with the full feature set, and merging the work into a shared stack so the next model is cheaper. About the role You will bring new open-weight LLMs, including dense, mixture-of-experts, and hybrid Mamba/attention architectures, up on SambaNova’s RDU dataflow accelerators and into production serving. That means adapting the model, mapping it across chips and hosts, compiling it, and validating it numerically against the reference. You also build inference features like continuous batching, speculative decoding, and FP8/FP4 as shared modules, so each new model costs less to bring up. Responsibilities - Bring up new LLM architectures end to end: model adaptation, checkpoint conversion, multi-chip / multi-host mapping, compile, strict numerical validation, production serving with latency / throughput numbers. - Build inference features once as shared modules: continuous batching over a paged KV pool, prompt caching, chunked and incremental prefill, dynamic tensor shapes, speculative decoding (EAGLE-3, drafters, MTP), FP8 / FP4, tensor and expert parallelism. - Debug where model, compiler and hardware meet; land each fix in the right shared component. Required qualifications - B.S. in Computer Science, Electrical Engineering, or related field - 8+ years of industry experience in ML systems, inference, or compiler engineering - Strong Python and PyTorch internals experience, plus some C++ - Deep transformer-inference knowledge, including KV caching, GQA and sliding window attention, MoE routing, prefill vs decode, batching, and speculative decoding - Hands-on experience with accelerator bring-up, ML compilers (MLIR, XLA, TVM, Triton, torch-mlir), or inference engines (vLLM, SGLang, TensorRT-LLM) - Rigor in numerical debugging - Comfort with Bazel, Slurm, and large monorepos - Clear writing and evidence-backed claims Preferred qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field - Experience with dataflow or spatial compilers - Experience with kernel DSLs - Experience with FP8 and FP4 inference - Experience with Mamba and SSMs - Experience with expert parallelism - Experience with multi-agent AI engineering workflows - Open-source inference or compiler contributions Success in six months Own a model family from first compile to served and merged; turn a one-model fix into a shared module others adopt; measurably shorten one long loop for the team. Base Salary Range: Base Pay Range $208,000 - $312,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

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 Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities - Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development - Set goals and run performance reviews that drive growth and output - Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: - use case scoping - building technical champions - running POCs - Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy - Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI - Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency - Align cross-functional stakeholders across time zones and regions to drive business outcomes - Travel regularly across EMEA for executive sessions, technical workshops, and relationship building - Lead the vision and execution of solutions that use our latest models for tech-forward use cases - Represent Anthropic in the European tech community through conferences, meetups, webinars, and technical content - Stay current on AI/ML developments and the competitive landscape in the European tech sector You may be a good fit if you have - 7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role - 3+ years of experience managing pre-sales or technical GTM teams, ideally across multiple EMEA markets - Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer tech, fintech, PaaS, or developer platforms - Familiarity with how European tech companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny - Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture - Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate - A strong grasp of developer tooling, SDKs, and the integration patterns common in modern software companies - Enjoyment of building foundational teams in unstructured, fast-moving environments - Strong executive presence and the ability to build deep trust with CTOs, engineering leaders, and technical founders - Excellent communication, collaboration, and coaching skills - The ability to make ambiguous problems clear and find principles that carry across scenarios - A passion for making powerful technology safe and beneficial, with a habit of thinking beyond past checklists and playbooks 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: £190,000 - £230,000 GBP 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. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market - Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership - Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline - Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics - Work directly with your partners' sales teams to identify opportunities and support deal progression - Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities - Run a regular operating cadence with each partner, including business reviews against the joint plan Cross-Functional Partnership - Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast - Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage - Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously - Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market - Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners - Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points - Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits - Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact - Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source - Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude - Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities Partner Operations and Performance Tracking - Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline - Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates - Follow our standard operating procedures for partner activities, and help keep them documented and up to date - Maintain partner data integrity and consistent measurement across your portfolio - Track KPIs for each partner and for the overall health of your portfolio - Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest - Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners - Identify opportunities to improve how we work with partners and bring them to the teams that own those programs You may be a good fit if you have - 5+ years of experience in partner development, channel management, or partner management - Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to - Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners - Strong business acumen, with the ability to support deal progression and navigate complex partner relationships - A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability - Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time - Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives - A track record of working well across functions to get things done for partners without owning every team involved - Experience with CRM systems and partner relationship management tools - Comfort with ambiguity and a fast-changing environment - Low ego, high curiosity, and a habit of making the people around you better - Willingness to travel to support partner relationships and joint customer engagements Strong candidates may also have - Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical - A background working at or with AI-native services firms, boutique consultancies, or systems integrators - An understanding of how boutique services firms run, including how they staff, price, and fund a new practice - An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals - Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications - Experience at a high-growth company where the program was still being built - Passion for AI and an understanding of how enterprises are adopting AI technologies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Fireworks is building out its EMEA go-to-market from London. The Head of GTM Field Strategy & Ops, EMEA is the business partner and strategic thought partner to the Head of Sales, EMEA, and the EMEA leadership team. You turn EMEA growth targets into plans the field can run: quotas, territories, coverage, organization design, and an operating rhythm that produces decisions. You will sit inside the Sales Strategy & Analytics team and work every day with the EMEA sales leadership. You will run the weekly forecast call and pipeline council for the region, lead EMEA planning with Sales, Field Engineering and Finance, and adapt Fireworks' global standards to local markets without fragmenting them. Fireworks sells on consumption and hybrid commit + usage models, and EMEA is growing quickly from a young base. The right candidate has done this kind of work for a regional sales leader before, is comfortable making a call with limited history, and can build structure while the business is moving. Responsibilities Business Partnership & Strategy - Act as strategic thought partner to the Head of Sales, EMEA, and the leadership team on where to focus, where to invest and what to stop. - Translate EMEA growth objectives into quarterly priorities, market focus, account coverage and resource allocation. - Lead the weekly, monthly and quarterly business reviews for EMEA, with clear decisions, owners and deadlines. - Adapt global sales process and rules of engagement to EMEA, in line with global standards. Forecast & Pipeline Cadence - Run the EMEA weekly forecast call and pipeline council: inspect deals, pressure-test commits and surface risk early. - Own forecast accuracy and pipeline coverage for the region, and explain misses. - Work with GTM Analytics and Revenue Operations to keep the data and tooling behind the cadence accurate and fast. Planning, Quotas & Capacity - Drive EMEA annual and in-year planning with Sales leadership, Field Engineering leadership and Finance. - Set and recommend quotas in alignment with sales and Field Engineering leaders, using market opportunity, seller capacity, ramp and historical performance. - Model capacity and hiring needs, including the tradeoffs between headcount, pipeline and productivity. Territories & Coverage - Design and carve territories and account assignments across EMEA, and run recarves as the region grows. - Own assignment, holdover and conflict-resolution policies with frontline managers. - Balance coverage across segments, countries and routes to market, including partners. Org Design & Incentives - Design the EMEA field organization: team structure, spans of control, role mix and pod models across sellers, Field Engineering and development. - Work with Incentive Strategy and Finance on EMEA compensation plans, including local considerations. - Partner with People, Legal and Finance on the operational steps of building a regional organization. - This role starts as an individual contributor and is expected to grow into a people manager as EMEA scales, including hiring and developing the first members of a regional team. Cross-Functional & AI-Native Ops - Partner with Product, Marketing, Partnerships and Field Engineering so EMEA priorities are heard and consistently planned for. - Use AI and agentic tooling in everyday work, and help the field use it too. Qualifications - 10+ years in sales strategy and operations, field operations, consulting, or sales leadership, including experience as a business partner to a regional or segment sales leader - Hands-on experience setting quotas, designing territories and leading planning for a field organization - Experience running forecast calls and pipeline reviews, and a record of improving forecast accuracy - Experience designing or scaling sales and field organizations - Credibility with senior sales leaders and the ability to influence without formal authority - Experience mentoring or developing others, and interest in building and leading a team over time - Strong analytical and financial modeling skills, with comfort in SQL or BI tools - Understanding of EMEA markets, and experience operating across multiple countries, currencies and regulations - Based in London or able to relocate - BA/BS degree in a quantitative field preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Experience with usage-based or hybrid commit + usage revenue models - Experience building a region or function through hypergrowth - Familiarity with overlay roles (such as solutions architects and field engineers), partner and channel motions, and manager overrides - Hands-on experience building workflows with AI or agentic tools Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. * Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer , the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. Qualifications - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team; bias toward ownership. - A passion for shipping products that surprise and delight.

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 member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities - Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success - Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise - Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions - Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites - Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases - Lead hands-on technical workshops and code reviews with customer engineering teams - Identify common design patterns and contribute insights back to our Product and Engineering teams - Create and deliver technical content, from engineering deep dives to executive briefings - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks - Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams Minimum qualifications - Active TS/SCI clearance with Polygraph - Prior experience working within US intelligence community agencies as a government civilian or cleared contractor - 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers - Strong programming skills with proficiency in Python or TypeScript and experience building production applications - Hands-on expertise in one or more of the following domains: - Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security) - Cryptography and cryptanalysis - Intelligence analysis and ISR (all-source, SIGINT, GEOINT) - Mission and weapons systems (command and control, space, electronic warfare, autonomy) - CBRN and nonproliferation - Accreditation of classified systems (RMF, ATO, cross-domain solutions) - Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach Preferred qualifications - Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale - Experience deploying and operating software in air-gapped or classified environments - Experience designing scalable cloud architectures and integrating with enterprise systems - Background in artificial intelligence, machine learning, or data science - Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity - Passion for advancing safe, beneficial AI systems through creative technical applications Deadline to apply: None. Applications will be reviewed on a rolling basis. 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. 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: $280,000 - $320,000 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. 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.

O

Data Center Controls Engineer (BMS / EPMS)

$177,000 – $285,000

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Engineer, you will program, configure, integrate, and commission the controls systems that support high-density AI data centers. You will work hands-on with mechanical or electrical controls, partnering with mechanical, electrical, IT/networking, security, commissioning, operations, and external delivery teams. About the Role We are seeking hands-on, early-career controls engineers with practical experience in building management systems (BMS) and mechanical controls, or electrical power monitoring systems (EPMS) and electrical controls. This role focuses on implementing and commissioning control systems, including PLCs, field devices, instrumentation, and sequences of operation, rather than owning OT/IT network or cybersecurity architecture. The ideal candidate has day-to-day experience programming and commissioning controls, ideally with a controls systems integrator. We welcome depth in either BMS/mechanical or EPMS/electrical controls; expertise in both is not required. You will work with experienced engineers and delivery partners to turn design requirements into reliable, tested systems. Key Responsibilities - Program and configure PLCs and control systems for mechanical/BMS or electrical/EPMS applications in AI data center campuses. - Implement and test sequences of operation, control logic, alarms, and interlocks against approved functional requirements. - Review and maintain controls documentation, including control diagrams, I/O and point lists, instrumentation details, sequences of operation, and commissioning records. - Integrate field devices, sensors, instrumentation, equipment controllers, and supervisory systems; validate point mapping, communications, and data quality. - Maintain control programs, configuration backups, version history, change records, and rollback procedures to support safe commissioning and operations. - Partner with mechanical, electrical, IT/networking, cybersecurity, and operations teams to resolve integration issues and implement approved OT connectivity and security requirements. - Configure and troubleshoot relevant industrial communications, such as BACnet/IP, BACnet MS/TP, Modbus TCP/RTU, OPC UA, or IEC 61850, according to the system and controls discipline. - Work directly with controls integrators, equipment vendors, contractors, and commissioning teams to resolve programming, installation, and functional performance issues. - Execute and document factory and site acceptance testing, point-to-point checks, sequence verification, and integrated systems testing; troubleshoot control logic, instrumentation, alarms, and device communication failures. Qualifications - Practical hands-on experience programming, configuring, integrating, or commissioning control systems in data centers, industrial automation, buildings, or other critical infrastructure environments. - Working knowledge of PLC programming and control logic, with the ability to implement and troubleshoot sequences of operation. - Experience in either BMS/mechanical controls or EPMS/electrical controls, with an understanding of the equipment and operating sequences in that discipline. - Experience configuring field devices and instrumentation, validating I/O and point mapping, and diagnosing control system behavior. - Working knowledge of relevant industrial communication protocols and basic OT networking needed to connect and troubleshoot control systems. - Ability to read control diagrams, equipment documentation, I/O lists, and functional specifications, and keep implementation records accurate. - Hands-on experience with functional testing, commissioning, and systematic troubleshooting using trends, alarms, logs, and field observations. - Ability to work closely with integrators, vendors, construction teams, and operations, communicate issues clearly, and follow safe work and change-control practices. - Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Controls or Automation Engineering, or a related discipline, or equivalent practical experience. Preferred Skills - Experience at a controls systems integrator, with regular responsibility for programming, configuration, field integration, and commissioning. - Experience delivering BMS/mechanical or EPMS/electrical controls for data centers or other mission-critical facilities. - Familiarity with supervisory controls, HMI/SCADA configuration, telemetry, and historian integrations. - Familiarity with OT cybersecurity practices and working with networking or security specialists to implement approved access and connectivity requirements. - Experience with scripting, APIs, or automation tools that improve controls testing, integration, documentation, or troubleshooting. Work Environment and Travel - This role requires periodic travel to data center campuses, vendors, labs, construction sites, commissioning activities, and controls/network cutovers. - The engineer should be comfortable working across office, lab, construction, and live data center environments, including PPE, lockout/tagout, cyber hygiene, and change-control requirements. - Work may include time-sensitive support during commissioning, startup, vendor testing, cutovers, network changes, telemetry issues, automation failures, and operational events. Travel: 50% About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

O

Controls Engineer: Power Generation

$177,000 – $285,000

About the Team OpenAI, in close collaboration with our capital and delivery partners, is building the infrastructure required to support frontier AI systems. The Data Center Engineering team defines repeatable technical standards and carries them through design, construction, commissioning, and operational readiness. The team works across data center facilities, power generation, compute infrastructure, construction, procurement, and operations to deliver reliable capacity at unprecedented scale and speed. About the Role We are seeking a Controls Engineer to design and integrate automation systems for on-site power generation serving large AI data center campuses. You will own control architecture and functional requirements across generation packages, balance-of-plant systems, electrical protection, microgrid controls, and data center monitoring. You will work from concept through factory testing, site commissioning, performance validation, and operational improvement. Role focus: Control-system architecture, integration, and commissioning for on-site generation Travel: 50% Responsibilities - Define control-system architecture, functional design specifications, sequences of operation, cause-and-effect matrices, alarm philosophy, and interface requirements. - Integrate OEM controls, PLCs, DCS, SCADA, historian, microgrid controllers, protection systems, and data center BMS or EPMS platforms. - Develop and review I/O lists, network architecture, control narratives, graphics, alarm limits, interlocks, permissives, and fail-safe behavior. - Coordinate synchronization, load sharing, islanding, black start, load shedding, restoration, and generation-to-data-center operating modes. - Evaluate cybersecurity, redundancy, time synchronization, communications protocols, data quality, and remote-support requirements. - Lead or support software reviews, simulator testing, factory acceptance testing, site acceptance testing, commissioning, and tuning. - Troubleshoot control-system and plant-performance issues and convert findings into corrective actions and reusable standards. - Partner with electrical, mechanical, CSA, IT, security, operations, OEM, EPC, and data center controls teams. Qualifications - 8+ years of controls, automation, or instrumentation engineering experience in power generation, industrial plants, utilities, or mission-critical infrastructure. - Strong experience with PLC, DCS, SCADA, historian, industrial-networking, and control-system integration. - Knowledge of generation controls, synchronization, load sharing, protective interfaces, process control, and safety interlocks. - Experience developing functional specifications, sequences, I/O, alarms, graphics, and factory or site test procedures. - Ability to troubleshoot across software, instrumentation, electrical, mechanical, communications, and operating-process boundaries. - Understanding of industrial cybersecurity, redundancy, failover, and change-control practices. - Bachelor's degree in controls, electrical, mechanical, chemical engineering, computer engineering, or a related field. Preferred Skills - Experience with major turbine or reciprocating-engine control platforms and microgrid controllers. - Experience with IEC 61850, Modbus, OPC UA, DNP3, EtherNet/IP, or comparable industrial protocols. - Experience integrating generation controls with BMS, EPMS, DCIM, or utility systems. - Professional Engineer license, functional-safety training, or industrial-cybersecurity certification. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

C

Technical Program Manager, AI Delivery (Dammam)

Negotiable

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture. Please Note: This role is open to candidates based in [Dammam] As an Engineering Program Manager/ Technical Program Manager, you will: - Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners. - Optimize: Break down complex issues into strategies, driving engineering alignment with product, business, and marketing while fostering collaboration. - Plan: Create and manage program/project schedules, identify dependencies, manage risks, and drive organizational alignment. - Execute: Ensure on-time delivery, identify development needs, and establish checkpoints for status updates. - Problem solve: Proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality. You may be a good fit if: - You have at least 5 years of experience as an Engineering or Technical Program Manager, with at least 3 years in customer-facing technical delivery and operations focused on enterprise-grade AI software/solutions - Knowledge or experience with LLM training or optimization would be a key differentiator - You are problem-focused and making customers successful really excites you - You are detail-oriented and extremely self-organized. You love enabling people and teams around you, and are excellent at capturing detailed notes/action items during highly technical meetings and tracking progress. - You have a Bias for Action - you are very execution focused and you like getting things done. - You have experience working with cross-functional teams to get technical products, services or solutions shipped to an internal or an external customer and can independently own tracking and reporting across multiple work-streams, with owners in different time-zones. - You are comfortable holding leaders and individual contributors accountable. You can be assertive while remaining diplomatic. You are not afraid to follow up with people to ensure shipping within committed deadlines. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

A

Research Engineer / Scientist, Pre-training

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - Strong software engineering skills with a proven track record of building complex systems - Expertise in Python and experience with deep learning frameworks (PyTorch preferred) - Familiarity with large-scale machine learning, particularly in the context of language models - Ability to balance research goals with practical engineering constraints - Strong problem-solving skills and a results-oriented mindset - Excellent communication skills and ability to work in a collaborative environment - Care about the societal impacts of your work Preferred Experience - Work on high-performance, large-scale ML systems - Familiarity with GPUs, Kubernetes, and OS internals - Experience with language modeling using transformer architectures - Knowledge of reinforcement learning techniques - Background in large-scale ETL processes You'll thrive in this role if you - Have significant software engineering experience - Are results-oriented with a bias towards flexibility and impact - Willingly take on tasks outside your job description to support the team - Enjoy pair programming and collaborative work - Are eager to learn more about machine learning research - Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects - Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research - View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights - Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects - Optimizing the throughput of novel attention mechanisms - Comparing compute efficiency of different Transformer variants - Preparing large-scale datasets for efficient model consumption - Scaling distributed training jobs to thousands of GPUs - Designing fault tolerance strategies for our training infrastructure - Creating interactive visualizations of model internals, such as attention patterns 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: $500,000 - $850,000 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. 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.

P

Senior Principal Engineer, Data & Machine Learning

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: - A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. - Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. - Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. - Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. - Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. - Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. - Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. - Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do - Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. - Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. - Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. - Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. - Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. - Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. - Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. - Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. - Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. - Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. - Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. - Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For - 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. - A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. - Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. - Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. - Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. - Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. - Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. - Outstanding written communication. This role leads through documents. - Experience mentoring Staff, Principal or similarly senior technical professionals. - Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have - Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. - Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. - Shared data or ML platforms serving multiple products and organizational domains. - Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. - Experience translating research or emerging technology into production capabilities. - Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role - Set the technical direction for data and intelligence across PlayStation. - Own the architecture behind experiences reaching more than 100 million people. - Report directly to the VP and sit on the organization’s leadership team. - Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. - Work with strong Principal and Staff engineers, data scientists and product leaders across the company. - Stay hands-on at the most senior IC level. LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 - $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Sr. Software Development Engineer in Test, AI/ML

Negotiable

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do - Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. - Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. - Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. - Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. - Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. - Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. - Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. - Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. - Improve automation reliability, reduce flakiness, and optimize execution efficiency. - Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. - Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications - Bachelor’s degree in Computer Science or equivalent - 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. - Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. - Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. - Strong experience testing RESTful APIs, microservices, and distributed architectures. - Proficiency in Python, Java, JS or similar languages for automation development. - Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. - Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). - Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). - Familiarity with databases, monitoring, and observability tools. - Strong understanding of SDLC, Agile methodologies, and release processes. - Excellent problem-solving, debugging, and communication skills. Preferred qualifications - Experience validating ML outputs using statistical analysis or scenario-based testing approaches. - Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). - Prior work in content moderation ML, security, fraud detection, or adversarial ML. - Experience testing high-scale, low-latency online services. - Experience with Databricks or similar ML platform tooling. - Familiarity with Node.js, React, or modern frontend technologies. - Experience testing mobile, console, or other non-PC platforms. What sets you apart - Strong combination of automation engineering and delivery ownership. - Ability to drive quality across complex cross-functional initiatives. - Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. - Proven risk management and dependency coordination skills. - Ability to influence engineering teams and promote quality guidelines. - Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 - $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

S

Master's Machine Learning Engineer, Intern

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. What you’ll do About the internship Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. Responsibilities - Develop and deploy large-scale machine learning systems that drive significant business value across various domains. - Engage in the end-to-end process of designing, training, improving, and launching machine learning models. - Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. - Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. - Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are Minimum requirements - A deep understanding of computer science, obtained through the pursuit of a Master's degree in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2027 or spring/summer 2028. - Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. - Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. - Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. - A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. - Intent to return to the degree-program after the completion of the internship/co-op. Preferred qualifications You Might Also Have: - Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. - Published and presented peer-reviewed articles in top-tier venues. - Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. - Familiarity with navigating new codebases and managing work across different programming languages. - Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: - A detailed resume or LinkedIn profile showcasing your work history. - Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.

E

Principal Engineer, AI Platform

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do As Technical Lead / Principal Engineer on the Al Engineering team, you'll provide technical leadership and strategic vision for the Al-powered platforms, tools and services that accelerate development velocity and productivity across Epic. You'll guide a team of engineers in building high-impact products like unified Al code review systems, Cloud agent hosting, centralized Al knowledge base and developer experience tools that serve thousands of folks across the company. This role sits at the intersection of Al innovation, practical engineering, and technical leadership. You'll set the technical direction for tools that developers across Epic use every day, establish best practices for Al-powered development tooling, mentor engineers, and shape how thousands of engineers write, review, and ship code. On top of that you'll be hands-on building complex aspects of the systems and working heavily with Al agents to implement, test, release, and operate these critical platforms. In this role, you will - Provide technical leadership and architectural vision for production-grade AI developer tools used by thousands of engineers across Epic's major codebases (Unreal Engine, Fortnite, and more) - Drive architectural decisions for scalable, maintainable developer-facing tools across multiple modalities: CLI and desktop tools, web apps, build process integrations, services, and APIs - Pioneer and establish patterns for modern AI frameworks and agent architectures, setting standards for the broader team - Partner with leadership and high-value teams to identify strategic opportunities and design/build/validate new platforms - Design and implement security, governance, and compliance protocols for AI platforms, including secret management, workload identity, and runtime isolation policies - Define measurement strategies and success metrics to track impact and continuously improve tool effectiveness - Mentor and grow a team of software engineers, conducting architecture reviews and raising the bar for technical excellence What we're looking for - B.S. in Computer Science or equivalent experience with 10+ years building production software systems - Track record of providing technical leadership for complex software projects from conception to delivery at scale - Proven experience in "zero-to-one" platform ownership: leading the technical design, architectural strategy, and initial build-out of new platforms before they are fully staffed and scaled - Expert-level experience with REST APIs, microservices, and distributed systems - Experience operating and orchestrating scalable services on Kubernetes, including managing container lifecycle and security configurations - Experience with and high level of interest in using and building AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) - Proven ability to turn ambiguous organizational problems into concrete technical strategies and drive them to completion This role is open to multiple locations across the US (including WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). Washington Base Pay Range $223,199 - $327,358 USD ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

O

Safety Response Operations Lead

$252,000 – $280,000

About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalation and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with policy while enabling timely, empathetic, and consistent user support. About the Role The Global Safety Response Operations Lead is a hands-on team lead who both manages a regional Safety Response team and personally handles high-risk safety cases. This role combines frontline safety work with people leadership, operational ownership, and cross-functional coordination. You will lead a team of Safety Response Analysts who handle OpenAI’s most sensitive and high-impact cases, while also personally contributing to casework for complex, high-risk, or high-visibility issues. You will own the execution of high severity escalations in your region and ensure proper execution and communication to cross functional stakeholders You will be accountable for ensuring your region consistently meets utilization, quality, and SLA targets while serving as the operational interface with Product, Policy, Legal, Investigations, and regional stakeholders. This is a 24/7 global operation that requires flexibility to support rotating shifts, including nights, weekends, and holidays, as part of a leadership on-call model. In This Role, You Will: - Lead and coach a regional team of Safety Response Analysts, ensuring high performance, engagement, and consistent decision quality. - Own regional operational outcomes, including utilization, SLA adherence, backlog health, and quality benchmarks. - Handle and oversee the most complex and high-risk cases, serving as the first line of escalation and incident lead for your region. - Contribute directly to frontline work (20–30%), including investigations, enforcement decisions, and regulatory or legal escalations. - Partner cross-functionally with Product, Policy, Legal, Investigations, and local market teams to execute safety outcomes and manage risk. - Drive operational excellence and continuous improvement, improving workflows, tools, automation, and escalation paths. - Identify emerging risks and trends, translating frontline insights into actionable recommendations for policy, product, or enforcement. You Might Thrive in This Role If You: - You have 8+ years of experience in Trust & Safety, Risk Operations, Investigations, Fraud, Annotation, or platform integrity. - You have 4+ years of direct people leadership or senior-level operational ownership, including coaching experienced operators, setting clear direction and supporting independent judgement. - You have applied AI tools and automation to improve operational workflows, with sound judgment about where human review remains essential. - You are deeply familiar with trust and safety operations, across multiple risk areas including content moderation, user safety, fraud, or developer risk frameworks, including the legal, policy, and technical considerations that shape enforcement. - You are a strong decision-maker in ambiguous, high-risk environments, able to balance speed, accuracy, and defensibility when handling sensitive or high-impact cases. - You communicate complex safety and risk decisions clearly and credibly, whether writing escalation narratives, briefing Legal or Policy, or aligning Product and leadership during incidents. - You can translate between frontline operations and strategic stakeholders, turning messy real-world cases into structured insights and turning policy or product direction into clear, executable guidance for your team. - You are skilled at influencing without authority, building trust with Product, Policy, Legal, Investigations, and regional partners to drive alignment and resolve ambiguity. - You use data, tooling, and automation to improve quality, efficiency, and scale to not just measure performance, but to make better decisions. - You are comfortable leading in a 24/7, high-pressure operational environment, providing calm, credible leadership during incidents, spikes, and regulatory or reputational events. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

O

Account Director, Enterprise

Negotiable

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. In this role, you will: - Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan - Lead our enterprise prospects’ journeys from consideration to successful deployment - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Analyze key account metrics to create reports and provide insights to internal and external stakeholders - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 10+ years selling platform-as-a-service and/or software-as-a-service - Achieving revenue targets >$2M per year for more than 3 years - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance companies - Working directly with c-level executives - Communicating technical concepts to customers and internal stakeholders - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence - Native or near native local language ability You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Counsel/Senior Counsel, Litigation

$200,000 – $270,000

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Runway’s Legal team is looking for a Litigation Counsel to help manage Runway’s litigation and dispute resolution work day-to-day, with strategic guidance from the Associate General Counsel, Litigation. You’ll work on a broad docket of litigation and pre-litigation matters, advise business stakeholders on litigation risk, and help to build out the litigation function as the business scales. You’ll join a lean team where everyone carries real responsibility, and you may have the opportunity to pitch in on a variety of other legal domains to support the team. You’ll work at the cutting edge of a highly technical and rapidly evolving area of the law, navigating challenges that are shaping the future of the industry. This role reports to the Associate General Counsel, Litigation. What you’ll do - Manage litigation, third-party process, dispute resolution, and regulatory requests involving the company. This spans everything from helping Runway develop its strategy on cutting-edge legal questions to owning all in-house-side discovery execution - Manage outside counsel across all stages of litigation, with a focus on case strategy and the quality of written advocacy - Build, improve, document, and execute repeatable processes for the areas above to help the litigation function operate efficiently and effectively at scale - Advise key stakeholders on litigation risk, aligning legal strategy with business priorities - Field day-to-day requests from legal team members and cross-functional partners who want your litigation perspective on their commercial, product, and other legal work - Partner with Runway’s Customer Support Team to advise on and help resolve small disputes and escalations - Monitor regulatory and policy developments relating to generative AI, and advise our AI safety, product, and engineering teams on them as appropriate - Dive into the technical aspects of the product and industry to learn them inside and out, and use that knowledge to inform your advice to the business - Support the team in other legal domains, which may include employment, trust & safety, policy, commercial, privacy, and IP What you'll need - A J.D. and admission in good standing with at least one state bar - 5+ years of dedicated litigation experience (can include clerkships) - Litigation experience in some combination of copyright, class action, securities, and regulatory matters - Deep knowledge of complex civil litigation practice and procedure, including discovery and federal and state court rules - A track record of running litigation matters, including developing case strategy, managing discovery, drafting and editing briefs, gathering information efficiently and preparing witnesses for depositions - A working knowledge of the key legal issues in Runway’s industry - Excellent written and oral communication skills. This includes giving practical, clear, and commercially sensible advice, and advocating for a position while staying open-minded - Sound judgment under pressure and strong business acumen - The ability to manage multiple workstreams, prioritize effectively, and consistently deliver results - A strong sense of ownership, both in the highest-level strategic work and in smaller day-to-day tasks - Creative problem-solving, low ego, curiosity, and a bias for action Nice to have - In-house experience (particularly at a technology company) - Experience with emerging technologies, particularly generative AI and copyright litigation - Familiarity with Runway and the generative AI video industry - Excitement about generative AI, and the motivation to become a leading expert in the legal landscape governing a rapidly innovating industry Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

A

Enterprise Account Executive, Public Sector

Negotiable

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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Italy. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the public sector in Italy. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications - Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus - Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements - Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions - Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Italy - A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases - Practical command of Italian public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes - Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials - Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements - A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities - Bilingual proficiency in Italian and English, with excellent written and spoken communication in both - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Italian public sector. Il ruolo In qualità di Enterprise Account Executive in Anthropic, entrerai a far parte del team fondatore impegnato in prima linea nel portare la nostra API di produttività basata su IA all'avanguardia e le nostre soluzioni SaaS alle organizzazioni del settore pubblico in Italia. Promuoverai l'adozione di un'IA di frontiera e sicura concludendo accordi strategici con ministeri e amministrazioni centrali, amministrazioni regionali e locali ed enti pubblici. Metterai la tua esperienza di vendita consulenziale nel settore pubblico al servizio della crescita dei ricavi, diventando un partner di fiducia per gli interlocutori del settore e aiutandoli a integrare e adottare l'IA e a scoprirne tutte le potenzialità nei servizi ai cittadini, nell'amministrazione e nella ricerca. In collaborazione con i team GTM, Prodotto e Marketing, perfezionerai costantemente la nostra proposta di valore, la nostra metodologia di vendita e il nostro posizionamento, perché siano rilevanti per chi prende le decisioni nel settore pubblico. Il profilo ideale ha la passione per lo sviluppo di nuovi segmenti di mercato, per l'individuazione delle opportunità ad alto potenziale e per l'attuazione delle strategie necessarie a coglierle. Favorendo la diffusione dei prodotti emergenti di Anthropic, aiuterai le istituzioni pubbliche ad acquisire nuove capacità, contribuendo al tempo stesso allo sviluppo etico dell'IA. Responsabilità: - Acquisire nuovi clienti e generare ricavi per Anthropic nel settore pubblico in Italia. Orientarti all'interno di istituzioni pubbliche complesse per raggiungere le figure decisionali chiave, far conoscere i nostri servizi e aiutarle ad avere successo con Anthropic. Sarai responsabile dell'intero ciclo di vendita, dal primo contatto alla chiusura. - Definire e attuare strategie di vendita innovative, adatte ai cicli degli appalti pubblici e ai processi di bilancio, comprese gare, accordi quadro e canali di vendita tramite partner o rivenditori, per raggiungere e superare gli obiettivi di fatturato. Analizzare lo scenario, le tendenze e le dinamiche del settore pubblico per tradurre i piani strategici in attività e campagne commerciali mirate. - Guidare l'espansione sul mercato individuando nuovi casi d'uso all'interno di ministeri, enti e uffici amministrativi. Collaborare in modo trasversale per differenziare la nostra offerta per le applicazioni del settore pubblico. - Muoverti in ecosistemi complessi di interlocutori del settore pubblico (dirigenti apicali, responsabili della trasformazione digitale e della tecnologia, direzioni IT e uffici acquisti) per costruire consenso. - Guidare il confronto con i clienti su sovranità dei dati, sicurezza e conformità normativa, lavorando con i team Sicurezza, Legale e Prodotto sul modo in cui rispondiamo a questi requisiti. - Contribuire alla roadmap e alle funzionalità di prodotto raccogliendo il feedback di chi utilizza le nostre soluzioni nel settore pubblico e portandone all'interno le esigenze. Fornire indicazioni che rafforzino la nostra proposta di valore per le istituzioni pubbliche. - Perfezionare costantemente la metodologia di vendita per il settore pubblico, integrando quanto appreso in playbook, modelli e buone pratiche. Individuare miglioramenti di processo che ottimizzino la produttività e la coerenza commerciale. Potresti essere la persona giusta se hai: - Almeno 7 anni di esperienza nella vendita B2B (SaaS, soluzioni API o tecnologie emergenti), compresa la vendita a organizzazioni del settore pubblico in Italia - Una comprovata esperienza nella gestione di cicli di vendita complessi all'interno di istituzioni pubbliche e nella conclusione di accordi strategici, fondata sulla comprensione sia dei requisiti tecnici sia dei casi d'uso del settore pubblico - Una padronanza concreta degli appalti pubblici italiani: gare, accordi quadro, centrali di committenza e canali di vendita tramite partner o rivenditori - Una capacità dimostrata di muoverti nelle strutture organizzative del settore pubblico, costruendo consenso tra interlocutori diversi, tra cui dirigenti apicali, responsabili della trasformazione digitale e della tecnologia e direzioni IT - Un'esperienza comprovata nel superare gli obiettivi di fatturato grazie a una gestione efficace di una pipeline e di un processo di vendita in continua evoluzione - Eccellenti capacità di comunicazione e la sicurezza necessaria per presentare a interlocutori diversi del settore pubblico, dai team tecnici ai dirigenti apicali - Una conoscenza approfondita dei cicli di acquisto, dei processi decisionali e delle principali criticità del settore pubblico, compresi i requisiti di sovranità dei dati, sicurezza e conformità normativa - Un approccio strategico e analitico al mercato del settore pubblico, unito a un'esecuzione tattica e creativa per cogliere le opportunità - Padronanza dell'italiano e dell'inglese a livello bilingue, con un'eccellente comunicazione scritta e orale in entrambe le lingue - Passione per i sistemi di IA avanzati e le loro applicazioni, o esperienza diretta con essi. Ti sta a cuore che i sistemi di IA di frontiera siano sviluppati in modo sicuro ed etico per l'uso da parte delle istituzioni pubbliche. Costituisce titolo preferenziale: familiarità con i quadri di sicurezza e conformità normativa applicabili agli acquisti di tecnologia nel settore pubblico italiano. 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. 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.

A

Account Executive, Nonprofit

Negotiable

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 Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape. The ideal candidate will be an exceptional salesperson with a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency - Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities You may be a good fit if you have: - 3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions - Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed - Exposure to negotiating complex, customized commercial agreements with multiple stakeholders - Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player - Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically Strong candidates may also have: - Experience selling to or working with nonprofit organizations, foundations, or government agencies - Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes - Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools - Active involvement in the nonprofit community through board service, volunteering, or prior employment - Experience navigating procurement frameworks with budget constraints and multiple approval layers - Track record of building strategic partnerships with foundations or corporate giving programs - Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $380,000 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. 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.

A

Senior Data Center Capacity Delivery Manager

Negotiable

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 Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. - You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. - Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment - Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders - Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships - Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production - Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making - Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements - Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you - Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. - Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. - You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you - Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems - Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. - Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. - Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities 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: $365,000 - $435,000 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. 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.

A

Business Recruiter

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring - Track record of closing strong candidates in competitive markets - Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries - Strong stakeholder management—you build trust and partnership with hiring managers - Excellent organization and the ability to manage multiple searches at once without dropping details - Clear, direct communication style and a bias toward action - Comfort operating with ambiguity in a fast-moving environment - Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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: €125.000 - €170.000 EUR 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. 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.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring a Developer Advocate. In this role, you’ll play a core part in improving our developer experience, particularly our documentation and example projects. You’ll dive deep into where users are getting stuck and ship what they need to succeed. You’ll also help drive acquisition of our technical, self-serve customers by creating and presenting engaging content online and in-person, especially at developer meetups and conferences across the globe. This role is perfect for someone who can create compelling technical content and is energized by connecting with developers face-to-face. Requirements - You love attending, organizing, and speaking at developer events. - You're able to tailor messaging for different audiences and build strong networks with developers, startup accelerators, and VCs alike. - A strong full-stack engineering skillset with extensive experience working with AI tools. - The ability to come up with great ideas for tutorials, build working demos, and create high-quality blog posts, videos and talks. - A passion for writing engaging technical content. - A product-minded approach to content: you understand metrics, speak to users, decide what to build/write based on needs, and double down on what works. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role You’ll build the tools that make Studio a video editor people want to live in. These include transitions, color grading and elements libraries all built on top of our in-house engine. You’ll also build presets, so a user can get the effect they want without tweaking 20 individual controls. The work mixes greenfield features with polish on the existing editor. An example of the polish is letting editors coming from Premiere Pro or Final Cut Pro rebind their keyboard shortcuts in one step. You’ll write proposals, get fast feedback, and own features through launch, including the marketing moment. You’re a product-minded, frontend-leaning full-stack engineer. Deep backend skills aren’t required. Requirements - Strong frontend engineer who has built complex, interactive UIs. - Enough full-stack ability to work across the stack, but deep backend expertise isn’t needed. - Evidence of product responsibility: side projects, open source, or product-facing work. - Thrives in a fast-moving, startup-style environment, and takes ownership with minimal hand-holding. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for someone to join our Revenue Strategy & Operations team to play a key role in building the operational backbone behind our partner ecosystem. This role sits at the intersection of technical problem-solving and operational excellence. You'll own the systems, automations, data, and dashboards that help our Partnerships team source, co-sell, and scale revenue through resellers, referral partners, technology partners, and strategic alliances. Each Revenue Strategy & Operations team member is a dedicated partner to a specific go-to-market function. In this role, you'll be the strategic and operational counterpart to Partnerships leadership. You'll also work closely with Sales, Account Management, Finance, Data, and Product to make partner-sourced and partner-influenced revenue visible, measurable, and repeatable. In this role, you will be responsible for - Partner Lifecycle & Process Management: Design, build, and maintain end-to-end processes for the partner journey, including onboarding, deal registration, lead and referral routing, co-sell workflows, and payout or commission handling. Make these processes consistent, automated, and easy to adopt. - Strategic Partnership to Leadership: Act as a trusted advisor to Partnerships leadership, providing performance reporting, capacity and territory planning input, partner segmentation, and recommendations on program structure and incentives. - Partner Attribution & Pipeline Visibility: Define and maintain how we track partner-sourced, partner-influenced, and co-sell pipeline and revenue across Salesforce and our data stack. Make sure partner contribution is accurately attributed and trusted by Sales, Finance, and leadership. - Reporting & Analytics: Own dashboards, reports, and KPIs for partner performance, such as pipeline generation, win rates, sales cycle, partner ROI, and tier or segment health. Turn the data into insights that guide where we invest. - Partner Program & Incentive Operations: Support the design, modeling, and rollout of partner programs, including tiering, rebates, referral fees, and MDF. Work with Finance and Legal to ensure accuracy and compliance. - Cross-Functional Collaboration: Align Sales, Account Management, Marketing, Finance, and Product on how partner deals are handled, from account mapping and conflict resolution to handoffs and renewals. - Experimentation: Test new partner motions, lead sources, routing logic, and program levers. Measure what works and scale it. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll thrive with us if you: - Are passionate about audio AI, driven by a desire to make content universally accessible and to push the frontiers of new technology. - Are highly motivated, with a strong work ethic. We're at a critical moment in audio AI's evolution and committed to going the extra mile to lead. - Are analytical and efficient, and approach complex challenges with a first-principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. - Are energized by working with external partners and by the ambiguity of building a program that's still scaling. What you bring - 4+ years in Revenue Operations, GTM Operations, or Partner/Channel Operations at a high-growth technology company - Hands-on experience supporting partner, channel, alliance, or co-sell motions (e.g., deal registration, partner attribution, referral or reseller programs) - A proven track record of building end-to-end solutions, from data collection and analysis through execution - Strong Salesforce experience, including objects, reporting, and process design for partner-related workflows - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g., Sigma) - The ability to break complex problems into smaller, actionable steps - Excellent communication and collaboration skills, with the ability to work effectively across internal teams and external partners - A highly adaptable, proactive approach to problem-solving and process improvement - Coachability and a willingness to learn and adapt to new challenges We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Brazil. About the role As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! Requirements We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating on solutions and providing tailored support - Have a talent for identifying patterns that can be standardized and scaled. - Have strong empathy for customers, sales and product teams. - Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns. - Excellent communication skills with the ability to adapt messaging to different audiences. - The candidate should preferably be based in São Paulo, Brazil. Location This role is remote-first, so it can be executed from anywhere in Mexico, with a preference of Mexico City. Expect regular travel for customer onsites. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs moves fast - and behind every high-performing leader is someone who makes sure nothing slips. This is a high-trust, hands-on role for someone who thrives in dynamic environments, holds themselves to a high standard, and takes genuine pride in making their lead's life easier - down to the small, considered details that others overlook. You'll be the operational backbone for senior leadership - managing calendars, coordinating across time zones, handling logistics, and owning the day-to-day administrative tasks that let leadership focus on what matters most. In this role, you will: - Manage complex, fast-moving calendars and provide scheduling and coordination support across multiple time zones and geographies - Handle sensitive and confidential matters with discretion, acting as a trusted partner in both professional and operational contexts - Coordinate seamlessly with internal stakeholders across teams, as well as external partners and senior leaders - Work closely with other EAs across the organisation to align schedules, share context, and keep cross-functional coordination running smoothly - Anticipate needs before they arise: managing follow-ups, flagging conflicts, and keeping the right people aligned - Build structure, processes, and systems that scale with a fast-growing AI company - Identify opportunities to automate and streamline repetitive work, using AI tools and productivity tooling to improve quality and speed Requirements - Proven experience supporting senior leaders and their broader teams in a fast-moving environment, including coordinating with other EAs across the organisation - Strong organisational skills with the ability to manage competing priorities, shifting timelines, and multiple stakeholders - Exceptional written and verbal communication skills, with the ability to communicate effectively with a wide range of stakeholders, from senior executives and partners to vendors and office guests - High emotional intelligence and discretion - trusted with sensitive information - Comfortable supporting not just an individual but a wider team at times - able to flex between high-priority senior leadership support and broader operational needs as the situation demands - Personable and easy to work with - someone who builds genuine relationships across the organisation and is trusted by the people around them - A natural reflex to reach for tooling and automation; fluency with AI tools such as Claude or ChatGPT and quick to adopt new systems - High personal standards - the kind of person who cares about the quality of their output and holds the bar - A valid passport and willingness to travel globally ~40% of the time Location India or Dubai LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for a highly motivated, self-starter Account Executive based in India who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new high value enterprise accounts in the Customer Experience and Conversational AI Experiences spaces to help ElevenLabs meet its revenue goals. - Identify new business opportunities in that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the Conversational AI industry - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence , delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Builds plan to quota in first sales and upsells out of NAL - Experience in building a new category, company, product in a space with previously no penetration - Extensive experience in value selling a technology product, preferably in Customer Experience and Customer engagement to clients with a global footprint - Generate self-led pipeline in target list of accounts - Network and experience in the IN CX, Support and BPO industry and has sold to CXOs - Close deals and manage customer onboarding/delight - Showed previous ownership for all aspects of the customer lifecycle including onboarding, and support - Evidence of farming accounts to deliver multi-X growth - Worked at a Top tier growth company where there is a keen understanding of sales process and high degree of ownership - Drive initiatives that improve ElevenLabs consideration - Has performed sales development activities such as campaigns, events, partnerships that drive ElevenLabs consideration with customers - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the IN CX, Support and BPO industry - Proficiency in English - Plus: Network in the relevant SIs/consults Location: Bengaluru or Mumbai LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Scale is looking to grow our IT team! We are looking for someone who is excited by the opportunity to be part of a fast-paced environment that pushes you to learn while doing. This role needs to be great with people and strongly focused on learning and executing. Ideally you have been the sole IT person at a startup before and are excited to be an early member of the team here at Scale. You focus on patterns and don't like doing the same thing twice. Your goal in this position is making people happy while creating simple and repeatable solutions for all! You will: Onboarding - Own the end-to-end new hire experience: coordinate with People Ops ahead of start dates, provision laptops and peripherals, and ensure every new hire is productive on day one. - Create accounts and assign role-based access across our identity and SaaS stack (Okta, Google Workspace, Slack, Jira/Confluence, Zoom, Microsoft Entra ID/M365). - Enroll and configure devices (Mac and Windows) in MDM with required security baselines before handoff. - Lead new hire IT orientations, covering security expectations, core tools, and how to get help. Offboarding - Execute timely, security-critical offboarding: suspend accounts, revoke access and sessions, and reclaim licenses on the employee's last day. - Recover, wipe, and re-inventory hardware; coordinate remote returns for distributed employees on the last day. - Maintain auditable onboarding/offboarding checklists to support security and compliance reviews (e.g., SOC 2 access controls). Ticket Queue & Support - Own the day-to-day IT ticket queue in Jira Service Management: triage, prioritize, and resolve or dispatch every incoming request. - Meet first-response and resolution SLAs; keep requesters informed and tickets updated until closure. - Escalate appropriately with clear context and reproduction steps. - Analyze ticket trends to find recurring issues, then eliminate them through documentation, self-service, or automation. - Build and maintain knowledge base articles for both end users and the IT team. General - Provide help desk support to all Scale employees across hardware, software, AV, and access issues. - Maintain and support office technology (printers, Zoom Rooms, room schedulers, and more). - Own IT asset management with accurate, actionable records of all equipment through its lifecycle. - Administer and integrate cloud services (Google Workspace, Microsoft Entra ID/M365, Slack, Okta, Jira, Confluence, Zoom, and more). - Promote IT best practices and constantly ask: "How can I make things better?" - Be in-office 100% of the time. Ideally you'll have: - 3+ years of corporate IT experience, including hands-on onboarding/offboarding ownership at scale. - Deep understanding of computer fundamentals and troubleshooting: hardware and software (Mac, Windows) and cloud technologies (Google Workspace, Slack, Zoom, Okta, Microsoft Entra ID/M365). - Experience running a ticket queue in Jira Service Management or a similar ITSM tool, with a track record of meeting SLAs. - Familiarity with identity/access management (Okta SSO, SCIM provisioning) and MDM for Mac and Windows fleets. - A positive attitude and excitement for building new processes and policies for a rapidly growing organization. - Experience supporting remote teams and multiple global offices using tools like Slack and Zoom. - A security- and compliance-focused mindset. Our stack Okta (identity/SSO), Google Workspace (Gmail, Calendar, Drive, Docs), Slack, Jira & Jira Service Management, Confluence, Zoom, Microsoft Entra ID/M365, Chrome, plus MDM for Mac and Windows fleets. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: - Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents. - Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation. - Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers. - Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through. - Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners. - Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams. - Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes. - Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates. - Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations. - Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed. - Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure. - Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments. - Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation. - Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally. You might thrive in this role if you: - Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues. - Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations. - Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses. - Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through. - Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable. - Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving. - Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries. - Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring. - Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done. - Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed. - Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We build AI-powered engines that make, localize, launch and learn from creative, using ElevenLabs’ full audio and video stack. Enterprise customers are already working with us. While our product teams focus on self-serve, these roles seed a dedicated enterprise engineering team: the people who make ElevenCreative work for our biggest customers and unblock enterprise deals. You sit between the customer and the product. You’ll talk to enterprise customers, understand their requirements, and decide whether to build a bespoke integration for them or a product improvement for everyone. Making that call well is the job. Requirements - Has worked directly with customers as a forward-deployed engineer, solutions engineer or founding engineer at a B2B startup, including presenting to enterprise clients. - Strong full-stack product engineer, comfortable with integrations, APIs, auth and enterprise plumbing such as SSO, access control and security reviews. - Turns a customer’s ask into the real requirement: builds bespoke when it unblocks a deal, and generalizes when several customers want the same thing. - Ships end-to-end with little direction. There’s no PM to define everything first. Bonus: experience with localization or TMS integrations, brand or marketing tooling, or adtech. Location This role is remote-first, so it can be executed from anywhere between the US East Coast and Europe, with the ability to operate in European timezones required and flexibility for customer timezones when deals need it. If you prefer, you can work from our offices in Dublin, London, New York and Warsaw LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role Mistral is seeking a Data Center Operations Manager to oversee the build, run, and operational excellence of our data centers in the Paris Region. This role is critical to ensuring the reliability, security, and efficiency of our HPC infrastructure as we scale our AI capabilities. Primary Location: Besse-sur-Braye Key Responsibilities • Lead the operational management of Mistral’s data centers ensuring seamless coordination and high availability. • Organise and manage onsite operations, technical support, maintenance, and emergency response to ensure 24/7 reliability. • Coordinate hardware deployment, upgrades, and decommissioning with third-party suppliers, ensuring alignment with project timelines. • Follow industry best practices to ensure high-quality installations and adherence to security protocols, contractual obligations, and regulatory requirements. • Oversee ticketing systems for incident resolution, ensuring timely communication and stakeholder updates. • Manage inventory of spare parts and logistics to minimise downtime and maintain operational continuity. • Problem-solve technical issues and mediate challenges to ensure maximum uptime and performance of data center resources. • Provide regular updates to internal and external stakeholders on operational status, risks, and improvements. • Manage local contracts with DC providers and OEM. • Manage the site’s annual operating budget (OpEx) for utilities, maintenance services, and consumables, driving site cost efficiency. • Establish, implement, and enforce robust Health, Safety, and Environmental (HSE) policies and protocols for all site personnel, contractors, and visitors, ensuring compliance with local regulations. • Identify and implement opportunities for the automation of routine operations tasks (e.g., alert handling, reporting, and asset tracking) to improve team efficiency. Qualifications & Experience • Degree in Computer Science, Electrical/Mechanical Engineering, or related field, or equivalent experience, with a strong understanding of data center technical requirements and operations. • Proven track record in data center operations, hardware management, or infrastructure support, preferably in HPC or cloud environments. • Experience managing large-scale infrastructure projects, including build-outs, migrations, or upgrades. • Strong ability to coordinate and lead vendors, contractors, and internal teams, including review, escalation, and contractual engagement. • Comfortable with contract negotiation and management. • Hands-on troubleshooting skills and ability to work and lead in critical situations and aggressive timelines. • Knowledge of data center security standards (physical and digital) and compliance requirements. • Relevant professional certifications such as CDCP, CDCE, or ITIL v4 are highly desired. • Language Skills: Fluency in English and French. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role Security GRC Engineers design, implement, and scale our governance, risk, and compliance (GRC) program. You'll lead automation of compliance workflows, build self-serve tools to enable GTM teams, and ensure our products and infrastructure meet the highest security standards. This role blends technical implementation with strategic program development, directly shaping how we build trust with customers. You may be a fit if - You have experience with GRC frameworks such as SOC 2, ISO 27001, ISO 42001, and AIUC-1. - You're comfortable tracing an external claim back to how the product and infrastructure are actually configured — you use coding agents and curiosity to confirm that what we say is what we do, flag issues that affect the security and AI governance program, and drive them to the right outcome. - You have strong cross-functional collaboration skills, especially with Engineering, Legal, GTM, Trust & Safety, auditors, and regulators. Sample projects include - Automate evidence gathering and continuous control testing. - Own the relationship with audit firms and customers — you're the person who explains the security and AI governance program and earns their trust in it. - Conduct security compliance reviews for new products, features, and vendors. - Support Legal in contract negotiations with timely, accurate guidance on security and AI governance terms. - Support incident response communications — draft and review customer-facing updates during security incidents. - Build self-serve documentation and tools to answer customer security and AI governance inquiries. - Maintain corporate security policies. Applying If there appears to be a fit, we'll reach out to schedule 2–3 short technicals. After that, we'll schedule an onsite at our office, where you'll work on a small project, discuss ideas, and meet the team.

About the Team The Candidate Experience team ensures that every interaction candidates and interviewers have with OpenAI reflects excellence, fairness, and humanity. This team owns global coordination, interview logistics, onsite experience, Interview Programs, and the operational workflows that support all recruiting functions, from Executive and Research to Technical, GTM, and G&A. The Candidate Experience team supports a wide range of hiring modalities (from executive and research to high-volume technical roles), and we need someone who understands how to adapt across them. As OpenAI scales globally, this team plays a critical role in designing experiences that are both bespoke for highly specialized searches and scalable across rapidly growing teams and offices. About the Role As Global Candidate Experience Manager, you will manage CE managers and Interview Programs program managers, with global responsibility for candidate experience, coordination and interview program delivery. You will lead through the team’s managers, leads and program owners while staying close enough to daily work to understand where it breaks. You will own service quality, capacity planning, interviewer readiness, program delivery and continuous improvement across high-volume and highly bespoke hiring. We are looking for a hands-on operating leader who can build useful AI-enabled workflows, forecast and allocate capacity, and drive complex programs from diagnosis through launch and sustained adoption. You should be comfortable reviewing a queue with coordinators, testing a workflow with technical partners, and translating a broad goal into clear owners, milestones and decisions. Your aim is to strengthen the team’s judgment and autonomy while improving candidate care. You can move between global operating design and frontline detail, reprioritize as demand changes, and deliver high-quality work quickly despite ambiguity. You know when to standardize and automate, when a human should remain accountable, and how to explain practical tradeoffs among speed, quality, workload and fairness. In this role, you will: - Manage and develop CE managers and Interview Programs program managers; support their leads and coordinators through clear priorities, delegated decisions, timely feedback and fair accountability. - Stay close to daily work through queue reviews, workflow walkthroughs and direct team feedback. Diagnose system, capacity and skill problems, and personally lead selected projects with clear ownership. - Own CE service delivery across high-volume and confidential Executive/Research hiring. Improve scheduling, routing, handoffs and onsite experience, with clear exception and escalation boundaries. - Build and maintain a capacity model covering demand mix, handling time, productive hours, skills, regional coverage, leave, rework and backlog recovery. - Set priorities across CE service and Interview Programs with recruiting leaders. Make staffing and service tradeoffs early, accounting for regional coverage, workforce continuity, interviewer bandwidth and fair coordinator workloads. - Drive programs and projects end to end: define the problem and success measures; manage owners, milestones, dependencies, risks, launch readiness and adoption. - Own Interview Programs’ operating model, priorities and delivery through accountable program owners, including readiness, onboarding, calibration support, question governance, integrity escalation and loop health. Preserve technical approval, hiring and investigation decisions with their designated owners. - Personally shape and test practical AI-enabled workflows with Recruiting Optimization and People Technology; use approved data, evaluation cases, human review, monitoring and rollback. - Measure net improvements after review and rework, and turn successful pilots into adopted processes with training, documentation and accountable owners. - Run a focused service-health cadence using queue age, SLA attainment, demand/capacity variance, scheduling efficiency, quality/rework, candidate feedback and interviewer load. - Partner with Recruiting, Executive Operations, People Technology, People Analytics, Workplace, IT and HR Operations to remove cross-functional bottlenecks. You might thrive in this role if you have: - Strong operations leadership: Led high-performing teams in People Operations, Recruiting Operations or another operations function, with clear accountability for service quality and results. - Experience at scale: Managed high-volume operations in a high-growth environment, adapting staffing, workflows and priorities as demand and complexity increased. - Excellent program management: Delivered complex, cross-functional programs from problem definition through launch and sustained adoption, with clear owners, milestones, dependencies and measures of success. - People leadership: Managed and developed managers and program owners through effective coaching, delegation, feedback and accountability. - Hands-on execution and bias to action: Stays close to frontline work, uses data to diagnose problems and moves work forward with sound judgment—even when the path is unclear. - Practical AI experience: Personally built, configured or tested AI-enabled workflows and can explain what improved, how they evaluated it and what they learned. Nice to Have - Experience running multi-region coverage or supporting a mix of high-volume and confidential, bespoke hiring. - Contingent-workforce planning, including vendor coordination, handoffs and continuity through departures. - Ashby and Guide experience, or deeper experience with question governance, integrity escalation and interviewer readiness. Workplace and Location San Francisco headquarters. Hybrid schedule - Monday to Wednesday in office. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote but the successful candidate should be based in Brazil. About the role As a Solutions Engineer, you'll work as part of a driven team to unlock the full potential of our voice AI platform for a growing customer base. Your mission is to efficiently scale our technical solutions to many enterprise customers, both directly and by improving our internal processes and supporting our sales teams. As a Solutions Engineer, you can expect to: - Collaborate strategically with Account Executives to enhance the technical aspects of the sales process. - Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions. - Craft compelling technical demonstrations that clearly communicate our product's value proposition. - Create technical enablement resources that amplify our sales team's effectiveness and technical fluency. - Build self-service tools and documentation that empower customers to implement solutions independently. - Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real! Requirements We're looking for exceptional individuals who excel at working with customers on technical problems and excited to work with us to scale this efficiently. You'll thrive with us if you: - Are passionate about AI, technology and ElevenLabs products. - Enjoy working directly with customers, iterating on solutions and providing tailored support - Have a talent for identifying patterns that can be standardized and scaled. - Have strong empathy for customers, sales and product teams. - Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns. - Excellent communication skills with the ability to adapt messaging to different audiences. - The candidate should preferably be based in São Paulo, Brazil. Location This role is remote-first, so it can be executed from anywhere in Colombia, with a preference of Bogota. Expect regular travel for customer onsites. Fluency in English and Portuguese and a deep understanding of the regional and cultural nuances is required. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role As a Benefits Manager at Mistral, you will own and scale the benefits infrastructure supporting our team across multiple countries. You will partner closely with HR, Finance, and Legal to ensure our benefits offerings are competitive, compliant, and aligned with our growth, translating complex compliance and operational needs into streamlined, employee-focused experiences. What you'll do - Own benefits strategy end-to-end across our countries, including enrollment, renewals, changes, and offboarding, ensuring reliable issue resolution and compliance. - Drive benefits strategy by benchmarking market competitiveness, proposing local adjustments, and recommending offerings in line with our Total Rewards strategy. - Manage brokers, insurers, and benefits vendors: lead RFPs and renewals, negotiate cost-quality trade-offs, and enforce service level agreements. - Ensure compliance with local benefits, insurance, and social-security regulations in all operating jurisdictions, proactively adapting practices and flagging evolving risks in cooperation with Legal. - Design and enhance benefits processes and policies to be clear, scalable, and well-documented; lead impactful improvement projects as the company scales. - Leverage data to inform decisions by maintaining high-quality benefits data, building reporting and KPIs (such as cost per employee, participation, utilization, satisfaction), and translating insights into actionable recommendations. - Own the employee experience of benefits by delivering clear, empathetic communications during enrollment and life events and sensitively handling situations such as illness, family changes, or loss. - Partner with Finance for benefits budgeting and forecasting, and collaborate with HR Ops and payroll to ensure deductions and contributions are accurate and timely. - Serve as a key contributor on Mobility, working closely with cross-functional groups to keep our immigration and mobility offerings compliant and competitive. What we're looking for - Experience managing benefits for multi-country organizations during hypergrowth and new market entry - Deep knowledge of benefits regulations and practices in at least one core region (EU and/or US), with sound judgment for consulting experts - Skilled in managing, negotiating with, and holding external vendors and brokers accountable for cost and service quality - Proven ability to design, document, and improve scalable processes - Proficient in HRIS/benefits platforms, strong reporting, and keen on automation/AI to increase efficiency - Excellent stakeholder communication: empathetic with employees, credible with leadership on strategic trade-offs - Team-first, low-ego mindset with a focus on cross-functional collaboration and employee experience What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote, so it can be executed globally. About the role You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact. Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible. What you will do: - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies. - Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers. Requirements - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration. - Excellent communication and problem-solving skills. Especially in terms of ability to summarize complex technical knowledge and using logic in pursuing optimal solutions. Location - This role is remote-first, so it can be executed from anywhere in Mexico, with a preference of Mexico City. Expect regular travel for customer onsites. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Equity is a big part of how we reward the people building ElevenLabs, and the programme is growing fast across many countries. You'll own the day-to-day running of it: keeping our cap table accurate and audit-ready, and making sure every grant, exercise and leaver is handled correctly and on time. You'll work with Finance, Legal and People to turn board-approved decisions into clean records and clear communication. That includes issuing grants, supporting 409A and local valuations, and answering employee questions about their equity. We're looking for someone who is meticulous about the numbers and who treats employees as customers. You'll find ways to automate the repetitive work, using AI wherever it makes things faster and more reliable. Requirements - Hands-on experience administering equity in a cap table or stock plan platform such as Carta, including grants, vesting, exercises, terminations, settlements and reconciliations. - Experience administering equity across multiple jurisdictions, including tracking globally mobile participants and coordinating with Tax and Payroll. - Strong understanding of stock options, RSUs, vesting schedules and employee lifecycle changes, with working knowledge of relevant tax-advantaged schemes such as US ISOs and UK EMI or CSOP plans. - Experience reconciling equity data with People, Talent, Payroll and Accounting records. - Understanding of stock-based compensation accounting sufficient to provide reliable data and support Finance with US GAAP and local reporting requirements. - Experience building and documenting equity processes and controls, managing deadlines independently and resolving discrepancies. - Clear communication skills, sound judgement when handling confidential information and a strong focus on employee support. Bonus: - Experience at a fast-growing startup, familiarity with 409A processes, or a record of automating equity workflows. - Certification (e.g. CEP or similar) - Experience with IPO process or having supported transition from private to public Location This role is remote-first, so it can be executed from anywhere in Central Europe or Eastern US. If you prefer, you can work from our offices in London, New York and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role You'll be responsible for: - Developing and articulating our long-term vision for the future of human-AI interaction, and what we’re building for developers and businesses. - Shaping the narrative around our products (in particular ElevenAgents), connecting our capabilities to emerging needs and trends in the wider world. - Leading storytelling and communications for top tier product launches, in partnership with product marketing, and running campaigns between launches to demonstrate the value our platform delivers. - Owning our security, privacy, and safety communications, including managing incident responses as part of a cross-functional team. - Producing superb written materials that advance our product story – including keynotes, talk tracks, social posts, and press releases – and creating scrappy product demos to show our technology in action. - Building the profile of our technical and product leadership, developing novel points of view, and supporting them with media, social, and event appearances. - Nurturing relationships with journalists, Substack writers, podcasters, technical creators, and other influencers who shape developer and enterprise buying decisions. Requirements We are looking for someone who has: - Run product or technical comms at a fast-paced B2B technology company, or built AI / software products. - A record of leading significant launches, and running effective product campaigns in between them. - Exceptional writing across different formats, with a talent for turning complex, technical topics into sticky narratives. - Experience working with security, safety, and engineering teams, and managing incidents. - Deep understanding of the independent media landscape and good relationships with some of the most influential commentators. - A track record of excellence, be that building products, running superb campaigns, or some other entrepreneurial endeavor. Location This role is remote-first, so it can be executed from anywhere on the US East Coast, with the ability to operate in GMT-5 to GMT-4 timezones required. If you prefer, you can work from our New York office. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

S

PhD Machine Learning Engineer, Intern

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. What you’ll do About the internship Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. Responsibilities - Develop and deploy large-scale machine learning systems that drive significant business value across various domains. - Engage in the end-to-end process of designing, training, improving, and launching machine learning models. - Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. - Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. - Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are Minimum requirements - A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2027 or spring/summer 2028. - Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. - Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. - Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. - A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. - Intent to return to the degree-program after the completion of the internship/co-op. Preferred qualifications You Might Also Have: - Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. - Published and presented peer-reviewed articles in top-tier venues. - Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. - Familiarity with navigating new codebases and managing work across different programming languages. - Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: - A detailed resume or LinkedIn profile showcasing your work history. - Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. Requirements We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. Location Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

About the Team OpenAI's Vendor Security team helps internal teams work securely with external products, services, and partners. Our work spans software, infrastructure, hardware, professional and managed services, vendor-provided workforces, data, and research. We build the programs and products that help teams understand vendor risk and put effective safeguards in place, protecting our customers, employees, and the company. About the Role We are looking for a Vendor Security Technical Program Manager who can make sound security decisions and turn recurring vendor-security problems into tools and practices that work. You will independently lead vendor-security engagements: understand the business need, investigate the actual data and access, recommend a practical path, and work with the responsible owners until the safeguards are verified. You will also use what you learn to build and improve bounded tools and workflows, with priorities agreed with the Vendor Security lead. This is an individual-contributor role for someone who combines technical judgment with useful delivery. You should be comfortable taking a position, explaining the tradeoff, and changing your mind when the evidence changes. Success means internal teams can use vendors securely, reuse work that still applies, and understand what needs to happen next. In this role, you will: - Own vendor security engagements from understanding the business need through scoping, assessment, decision, treatment, and reassessment when material facts change. Make assessment decisions independently and use judgment about when to involve peers, specialists, or leadership. Route formal exceptions and risk acceptance to the appropriate decision owners. - Understand vendor use cases, workflows, user journeys, data flows, identities, access, integrations, and supply-chain dependencies. Identify plausible attack paths and their consequences for OpenAI. - Assess relevant architectures, configurations, controls, logs, and operational practices. Test whether the evidence supports the security claims that matter to the engagement, and make gaps and uncertainty clear. - Develop practical treatments, including changes to the operating model, data exposure, access, architecture, vendor choice, controls, or containment. Drive implementation with the responsible owners and verify that the treatment works. - Build reusable security patterns with clear applicability, safeguards, evidence requirements, exceptions, and review triggers. - Work with Legal, Procurement, and vendors on security addenda. Evaluate proposed terms and deviations against the engagement, explain their security implications, and develop workable positions with the appropriate decision owners. Legal leads wording and negotiation. - Learn from internal customers, agree priorities with the Vendor Security lead, and define the requirements, roadmap, and success measures for the bounded programs, products, and services you own. - Use Codex or comparable AI-assisted tools to build, inspect, test, and maintain practical improvements to scoping, evidence checks, routing, decision reuse, or treatment tracking. Investigate failures and own the result through adoption, continued operation, and explicit handoff or retirement. - Lead delivery across Security and partner teams. Translate goals into technical requirements, milestones, and delivery plans; influence implementation choices; identify systemic risks; resolve dependencies and disagreements; and carry commitments through completion. - Use casework, incidents, threat information, and customer feedback to improve decisions and the program. As priorities change, recommend what to do next and explain the tradeoffs and effects on existing commitments. You might thrive in this role if you: - Have independently assessed consequential third-party, supply-chain, or comparable security risks, and can apply that judgment to unfamiliar vendor technologies and operating models. - Understand security principles and controls, including data protection, access management, application security, prevention, detection, and response. Can reason about architecture, identity, APIs, data flows, logging, integrations, and whether controls work. - Know relevant frameworks and standards, including ISO 27001, NIST 800-53, and SOC 2, and can use them to inform an assessment of the actual engagement. - Have translated security findings and requirements into practical contractual positions with Legal, Procurement, and vendor representatives. - Have delivered useful products or workflow improvements, tested expected behavior and failure cases, learned from users, and owned performance after launch. - Can use Codex or comparable AI-assisted development tools to build, run, inspect, and test working solutions. - Have independently delivered cross-functional programs, turned ambiguity into technical requirements and plans, and adapted priorities to achieve measurable outcomes. Can judge when to build, use existing systems, or engage partners to resolve blockers. - Build constructive relationships with Security, Engineering, Product, Privacy, Legal, business teams, and vendors. Communicate complex security issues clearly in writing and conversation, including your recommendation, supporting evidence, and relevant tradeoffs. - Question assumptions, try thoughtful new approaches, investigate unfamiliar systems, and revise your judgment when new evidence changes the situation. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of physical systems. About the Role As a Technical Program Manager, Robotics Infrastructure, you will serve as the Robotics point-of-contact for cross-functional partners supporting the design and construction of Robotics sites. You will consolidate requirements, priorities, and decisions across Robotics disciplines and route those inputs through your counterpart, who manages design and construction partners and coordinates their workstreams. You will clarify requirements, coordinate technical and operational inputs, manage dependencies and changes, and drive timely decisions through planning, design, construction, commissioning, and handover. This role calls for sound program judgment as research and operational needs evolve. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role, you will: - Consolidate requirements, priorities, and decisions across Robotics research, engineering, and operations teams, providing the Real-Estate Workplace counterpart with a clear and coordinated view of Robotics needs. - Translate Robotics workflows and equipment needs into documented requirements for floor layouts, utilities, network connectivity, environmental conditions, material flow, physical access, and operational support, working with technical owners to define acceptance criteria. - Coordinate Robotics design reviews, ensuring technical owners assess proposals, resolve open questions, and confirm that agreed requirements are reflected in project documents. - Track Robotics deliverables and dependencies against project milestones, surface risks and changes early, and secure decisions needed to keep work moving. - Coordinate with Legal, Finance, Security, IT, Environmental Health & Safety, and other specialists to resolve issues affecting Robotics requirements and readiness. - Coordinate Robotics readiness for equipment installation, moves, commissioning, and operational handover, with clear ownership and follow-through. - Identify facility constraints that slow experimentation or operations, and use feedback from Robotics teams to improve requirements and handover practices for future projects. You might thrive in this role if you: - Have experience leading technical programs involving hardware and physical infrastructure, ideally in robotics, laboratories, advanced manufacturing, or similarly complex environments. - Can reconcile competing priorities across technical and operational teams and translate evolving needs into clear requirements and acceptance criteria. - Can read drawings and technical documentation, ask useful questions about building systems and equipment interfaces, and involve specialists at the right time. - Bring disciplined program management across requirements, schedules, dependencies, risks, decisions, and change management. - Build strong working relationships across research, engineering, operations, and facilities partners, and communicate technical tradeoffs clearly to secure alignment. - Are comfortable moving between technical detail and broader program priorities across multiple concurrent efforts, focusing teams on decisions and dependencies that affect progress. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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