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Forward Deployment Engineer
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. SambaNova is hiring a Forward Deployed Engineer (FDE) for our SambaStack based product portfolio in our Customer Success Organization. Responsibilities: - Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio - Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data, infrastructure, and business goals. - Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines. - Troubleshoot and resolve production issues end-to-end across model, software, and hardware layers — acting as the first and last line of technical escalation in the field. - Translate customer needs into clear product requirements and engineering feedback; serve as the primary voice of field reality to SambaNova's Product and Engineering teams. - Partner with Account Executives and Solutions Engineers to shape technical sales strategy, scope engagements, and demonstrate platform differentiation during evaluations and proof-of-concepts. - Develop reusable accelerators, reference architectures, and internal playbooks that scale learnings from one deployment to many. - Present technical findings, architecture decisions, and roadmap input at customer executive briefings and internal forums; represent SambaNova at industry conferences and events. Qualifications: - 5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems. - Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines. - Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking. - Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging. - Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling. - Comfortable engaging directly with customers: able to run technical discovery, set expectations, push back constructively, and present to executive and practitioner audiences alike. - Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience. - Willingness to travel up to 50% to customer sites — flexible based on engagement needs. Bonus qualifications: - Experience with AI accelerators or custom silicon (TPUs etc.) - CUDA / low-level GPU programming - Familiarity with VLLM / SGLang - Enterprise AI deployments in regulated industries Base Salary Range: Base Pay Range $138,000 - $170,000 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.
Applied AI Engineer
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 Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What you will do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback About you • You are fluent in English and Korean • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: • Contributed to open-source projects in particular in the space of LLMs • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Applied AI, Forward Deployed Machine Learning Engi...
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 Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. What you will do - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. About you - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Applied AI, Forward Deployed Machine Learning Engi...
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 Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings. What You Will Do • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll individually help deploy into production use cases with a considerable business impact across various industries. • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback What We Are Looking For • You are fluent in English and French. • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: • Contributed to open-source projects in particular in the space of LLMs • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Advisor, AI Global Policy & Advocacy
Advisor, AI Global Policy & Advocacy at Bill & Melinda Gates Foundation. Femtech Insider network role. Industry tags: Business And Industrial, Charity, Education, Financial Services, Food & Beverage, Gender Equality, Global Development, Global Health, Health Care, Human Resources Hr, Impact Investing, Lending and Investments. Skills: Advocacy, Public Policies, Stakeholder Engagement, Global Health, Software Project Management, Data Analysis, Collaboration, Strategic Planning, Risk Analysis. Locations: Washington, DC, USA, Seattle, WA, USA. Work mode: on site.
Revenue Strategy & Operations
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 the first member of our Revenue Strategy & Operations team in Korea, you'll be instrumental in driving revenue growth by partnering with sales leadership to develop and execute Korea‑specific strategies. You will be the trusted advisor to our Korea Country Manager on how the business is planned and run — shaping how we win in Korea, from the country's largest enterprise groups to its fastest‑growing technology companies — while building the operational foundations to scale. Much of the work you will do yourself, hands‑on. This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into clear analysis and a recommendation, and then bring people who don't report to you along to act on it. You'll work closely with Strategy & Operations peers in Japan, India, Australia and Singapore, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team. This is a senior individual‑contributor role with no direct reports initially. You'll report to the head of Revenue Strategy & Operations for Asia‑Pacific (based in Sydney), work day to day alongside the Korea Country Manager and sales team in Seoul, and travel occasionally within the region. Responsibilities: Go-to-Market Operations: - Own annual and quarterly go‑to‑market planning for Korea — targets, territories and sales capacity — in partnership with Finance and sales leadership. - Develop how we segment the market and design territories, from Korea's large enterprise groups (conglomerates and their affiliates) to mid‑sized enterprises and fast‑growing technology companies. - Identify market opportunities, assess competitive dynamics, and inform expansion priorities in Korea. - Support go‑to‑market execution with partners and resellers, focusing on co‑selling, managing the partner pipeline, and joint planning. - Analyze sales performance, pipeline and forecast data to surface risks and opportunities early, and turn them into clear recommendations for sales leadership. Rhythm of the Business & Cross‑Functional Leadership: - Run the rhythm of the business for Korea — weekly forecast and pipeline reviews, monthly and quarterly business reviews — so the right information reaches the right people at the right time and decisions get made. - Work across Revenue Operations, Sales Enablement, Finance, Marketing and Partnerships to keep Korea's plans and execution aligned with the rest of Asia‑Pacific and the company. - Prepare executive‑level materials, including performance reviews, planning sessions and leadership updates. - Influence without authority: bring structure to ambiguous problems, build the case with data, and drive decisions across teams you don't manage. Operations & Global Programs: - Run the Korea side of core commercial processes — account and territory changes, planning inputs, data quality — working through our global Revenue Operations team, who own the CRM and sales systems. - Bring global sales processes, tools and programs into Korea and drive their adoption by the team; be the voice of Korea back to headquarters when something needs to change. - Keep operations running smoothly across the complex, multi‑stakeholder sales cycles typical of enterprise B2B software. Required qualifications: - 8+ years of experience in B2B SaaS, cloud or enterprise software, including direct experience in sales strategy, revenue operations or commercial go‑to‑market roles - Structured thinking: a track record of taking ambiguous, open‑ended problems and turning them into clear analysis, options and a recommendation - Strong analytical capabilities, with a demonstrated ability to convert complex data into actionable insights - Hands‑on experience with annual planning, territory design, quota setting and business reviews for enterprise sales teams - Comfortable working in Salesforce and with data every day — reports, dashboards and your own analysis; you will use the systems rather than administer them - Ability to influence without direct authority — partnering effectively with senior sales leadership and C‑level stakeholders, and getting decisions made across teams you don't manage - Comfortable operating in ambiguity and at pace; you can build the process while running it - Experience partnering with regional leadership on go‑to‑market strategy and championing it across the business - Fluent Korean for executive settings with Korea's largest companies, and business‑level English — your manager, regional peers and much of the written work are in English Strong candidates may also have: - Management consulting experience (strategy or operations work), ideally combined with time in an operating role - A track record of scaling sales organizations through 3x+ growth periods in B2B software - Experience in Chief of Staff or Business Operations roles supporting regional leadership, or go‑to‑market work with partners and resellers - Familiarity with the wider Asia‑Pacific region 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.
Incident Manager - Detection & Response
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities - Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. - Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. - Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. - Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. - Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. - Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. - Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. - Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. - Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. - Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. - Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: - Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. - Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. - Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. - Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. - Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. - Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. - Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. - Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. - Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. - Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Deadline to apply: None. Applications will be received 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. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Product Manager, Business Technology
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 Product Manager for Business Technology, you will own internal products that shape how Anthropic works with Claude. You will embed with internal customer teams such as Legal, IT, GTM, Product, Finance, and Security to understand how they work, find where Claude can remove friction, and ship software and automation that changes their outcomes. This role requires strong product judgment, comfort with technical systems, and the ability to turn messy internal needs into clear priorities. You will work closely with engineering, IT, IT Engineering, Security, and the teams you serve. You will own outcomes, not features. Adoption and measured business impact are how your work is judged. Core responsibilities Internal product ownership - Own the roadmap for Claude-powered internal products and automation across one or more customer functions. - Run intake and prioritization so that the highest-impact problems get built first and the rest get a clear answer. - Write crisp problem statements and requirements that engineers can act on without rework. - Ship iteratively, gather feedback from the people using the product, and keep improving it after launch. Adoption and business impact - Co-develop adoption roadmaps with internal customer teams and hold both sides to them. - Define success metrics before work starts and report adoption and business impact on a regular cadence. - Treat change management as part of the product. Plan rollout, training, and support so that what you ship gets used. - Kill or rework products that are not earning their keep. Cross-functional partnership - Build trusted relationships with leaders in the functions you serve and translate their needs into product priorities. - Partner with IT, IT Engineering, and Security on access, data handling, and governance so that internal Claude usage follows internal policy. - Coordinate with Legal and Finance on the requirements that apply to your products. - Communicate plans, progress, and tradeoffs clearly to the teams and leaders you work with. Technical leadership - Understand how Claude, internal systems, and integrations fit together well enough to make sound scoping and sequencing calls. - Partner with engineering on architecture choices that keep internal products maintainable and secure. - Stay current on Claude capabilities and bring new ones to internal teams where they fit. Qualifications Required - You have deep product management experience, including ownership of products used by internal teams. - You have shipped products that measurably changed how a team or function works. - You have partnered with engineering, IT, and security teams on technical products. - You communicate clearly in writing and in person. You can explain a tradeoff to an executive and a requirement to an engineer. - You are comfortable operating with ambiguity and setting priorities across competing requests. Nice to have - You have built with LLMs or agent tooling. - You have worked on IT, internal tools, or business systems products. - You have led change management or rolled out new tools across an organization. - You know security and data-handling practices for internal systems. Deadline to apply: None. Applications will be received 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. Annual Salary: £190,000 - £240,000 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.
Business Systems Analyst
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 Business Systems Analyst on Anthropic's BizTech team, you'll play a crucial role in bridging the gap between business needs and technical solutions. You'll translate complex business requirements into technical specifications and architectural decisions, ensuring engineering teams build solutions that scale with our rapid growth. You'll work closely with stakeholders across the organization to understand their requirements, configure systems, and ensure our business technology ecosystem operates efficiently and effectively. This role combines analytical thinking with technical expertise to design, implement, and maintain systems that drive operational excellence. You'll be responsible for analyzing business processes, gathering requirements, and translating them into technical solutions. As we continue to scale rapidly, you'll help ensure our systems and processes evolve to meet the growing demands of our organization while maintaining the high standards of efficiency and reliability that Anthropic requires. Responsibilities - Drive end-to-end delivery of technical projects from conception through launch - Configure and customize business systems to meet specific organizational needs, including user permissions, workflows, and integrations - Manage technical vendor evaluation for business applications, including contract negotiations, service level agreements, and ongoing vendor performance assessment - Create and maintain comprehensive system documentation, including process flows, user guides, configuration specifications, and technical documentation - Lead knowledge management initiatives to ensure institutional knowledge is captured, organized, and accessible to all team members - Own technical risk assessment and mitigation strategies - Analyze current business processes and identify opportunities for automation and optimization - Act as a liaison between technical teams and business users, translating complex technical concepts into user-friendly language - Conduct system testing, validation, and user acceptance testing for new implementations and updates - Provide ongoing support and training to end-users across the organization - Monitor system performance and usage metrics to identify areas for improvement - Collaborate with cross-functional teams to ensure business systems integrate seamlessly with other platforms - Stay current with emerging technologies and industry best practices in business systems management You may be a good fit if you: - Have 5+ years of experience as a Business Systems Analyst or similar role in a technology-focused environment - Possess strong analytical and problem-solving skills with the ability to break down complex business processes - Have experience with systems configuration and customization across various business applications - Are skilled at requirements gathering and translating business needs into technical specifications - Excel at documentation creation and maintenance, with exceptional attention to detail - Have experience managing vendor relationships and evaluating technology solutions - Are an effective communicator who can bridge the gap between technical and non-technical stakeholders - Thrive in a fast-paced environment with changing priorities and requirements - Have experience with API integrations and iPaaS solutions - Have a passion for process improvement and automation - Are proactive and self-directed with the ability to manage multiple projects simultaneously - Care about the societal impacts of your work and are excited about contributing to AI safety Strong candidates may also: - Have experience with enterprise level business systems - Have knowledge of database management and SQL - Have experience with project management methodologies (Agile, Scrum, etc.) - Have certifications in relevant business systems or project management - Have experience with business intelligence and reporting tools - Have worked in high-growth startup environments - Have knowledge of ITIL or other IT service management frameworks - Have experience implementing knowledge management systems or intranets Deadline to apply: None. Applications will be received 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. Annual Salary: £130,000 - £165,000 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.
Strategic Delivery Lead, Intelligence Community
About the team The OpenAI for Government team is a mission-driven group bringing frontier AI to the U.S. Intelligence Community (IC) and broader national security enterprise. We partner with intelligence professionals to deploy secure, compliant AI capabilities—including ChatGPT Enterprise, ChatGPT Gov, and the OpenAI API—in mission-aligned environments that meet rigorous security, privacy, reliability, and responsible-AI requirements. As part of the OpenAI for Government team, you will work across IC elements and mission partners—including ODNI, CIA, NSA, DIA, NGA, NRO, and other federal intelligence organizations—to help analysts, collectors, operators, and technical teams apply frontier AI to their highest-priority missions. We accelerate adoption through hands-on support, mission-specific workflows, tailored enablement, and measurable operational outcomes while preserving human judgment, analytic integrity, and protection of sensitive information. About the Role The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership. You will own end-to-end execution of technical delivery workstreams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission outcomes, requirements, integrated roadmaps, milestones, dependencies, and acceptance criteria; coordinate secure architecture, data integration, evaluation, authorization, and production rollout; proactively surface risks; and ensure every engagement demonstrates measurable customer value. Accountability for contractual milestones, delivery governance, and acceptance criteria sits with you. This is a high-trust, high-autonomy role. Success requires technical fluency, deep program-management expertise, executive presence, sound judgment in classified environments, and a commitment to translating novel AI capabilities into trusted, real-world intelligence mission outcomes. In this role, you will: - Build trusted relationships with IC mission owners, analysts, collectors, operators, Chief Information Officers, Chief Data Officers, Chief Information Security Officers, and acquisition leaders to identify and prioritize high-value, mission-ready AI use cases. - Own delivery of complex IC engagements from discovery and technical shaping through pilot, security authorization, production deployment, customer acceptance, and sustained adoption; maintain accountability for contractual milestones, integrated schedules, scope, and mission outcomes. - Translate intelligence mission requirements, analytic tradecraft, data constraints, and security policies into clear technical requirements, architectural decisions, delivery plans, and executive-level communications; lead technical exchanges, design reviews, and customer briefings. - Partner with IC elements, mission integrators, cloud and infrastructure providers, industry partners, and academia to develop AI applications for intelligence analysis, collection and exploitation workflows, cyber defense, multilingual research, knowledge retrieval, and other priority missions. - Lead cross-functional teams spanning Forward Deployed Engineering, Solutions Architecture, Research, Product, Security, Legal, Privacy, and customer mission teams to design, evaluate, and deliver generative AI, retrieval-augmented generation, and agentic workflow solutions. - Establish delivery operating rhythms, program roadmaps, milestone and dependency tracking, risk and decision governance, customer reporting, and measurable indicators of mission impact, user adoption, model quality, and operational readiness. - Coordinate deployment and integration requirements across approved classified and unclassified environments, IC cloud, restricted networks, and multiple security domains; work with security and accreditation stakeholders on identity and access management, data handling, cross-domain constraints, the Risk Management Framework, Authority to Operate, and applicable IC security requirements such as ICD 503. - Partner with customer security, privacy, civil liberties, legal, and analytic leaders to incorporate human oversight, source provenance, explainability, model evaluations, red-teaming, bias mitigation, and lifecycle monitoring consistent with the IC’s AI ethics principles and analytic standards. - Anticipate and mitigate technical, operational, contractual, and mission risks; manage changing requirements, integration dependencies, delivery tradeoffs, and escalation paths while maintaining program velocity and stakeholder confidence. - Support early relationship-building, opportunity qualification, solution shaping, and proposal development with Account Directors and partners; bring mission and technical insight to commercial strategy, statements of work, customer acceptance, and long-term IC account growth. You’ll thrive in this role if you: - Have 10+ years of experience leading technical programs, enterprise AI or cloud deployments, intelligence mission transformation, or national security consulting, including substantial direct delivery experience with U.S. Intelligence Community customers. - Hold an active U.S. Government TS/SCI clearance; an existing full-scope polygraph and the ability to meet customer-specific access requirements are strongly preferred. - Are willing to travel up to 50% and work on-site with IC customers in secure facilities to build trusted relationships and understand mission, user, and operating-environment needs. - Understand Intelligence Community missions, organizations, operating models, and analytic tradecraft, including experience supporting agencies or elements such as ODNI, CIA, NSA, DIA, NGA, or NRO; existing IC customer relationships are beneficial but not required. - Have led complex generative AI, AI/ML, enterprise SaaS, API, data-platform, cloud, or digital-transformation programs from discovery through operational deployment in mission-sensitive environments. - Bring executive presence and a record of advising agency leadership, mission owners, contracting officers, and senior technical stakeholders; can influence decisions, resolve ambiguity, and build alignment across government and industry teams. - Translate mission outcomes into requirements, statements of work, integrated schedules, acceptance criteria, evaluation plans, and measurable success metrics such as analyst time saved, workflow adoption, quality, and decision advantage. - Have experience delivering systems across multiple classification levels and navigating secure cloud and restricted environments; familiarity with IC enterprise IT, identity and access controls, data governance, cross-domain constraints, RMF/ATO processes, and ICD 503 is valued. - Understand modern AI solution architectures, including large language models, enterprise APIs, retrieval-augmented generation, agentic workflows, data integration, model evaluation, and the security, reliability, and adoption considerations involved in operational deployment. - Apply responsible-AI practices appropriate to intelligence missions, including human-in-the-loop review, analytic objectivity, source and data provenance, privacy and civil liberties safeguards, explainability, adversarial testing, and ongoing model monitoring. - Build durable partnerships across analysts, operators, researchers, engineers, security and privacy specialists, contracting teams, mission executives, and industry partners; thrive in ambiguous, fast-moving environments and create clarity, accountability, and momentum. - See yourself as a bridge between frontier AI research and intelligence mission impact, with the technical fluency to connect emerging AI and AGI capabilities to realistic customer requirements and operational constraints. - Care deeply about national security outcomes and helping Intelligence Community customers use AI safely, responsibly, and effectively while protecting sensitive information and public trust. 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.
Senior Software Engineer, Enterprise Build
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is seeking a Senior Software Engineer to join the Enterprise Build team: the small, high-leverage team that turns the company's best AI-built prototypes into true enterprise-grade services. Robinhood has gone all-in on an AI-accelerated workforce: every week, Hoodies across Finance, HR, Legal, Compliance, and beyond use sanctioned AI tools to build working prototypes of the tools they wish they had. The best of those ideas deserve to become real software. That is this team's entire job, and yours. The team is built on the premise that AI multiplies what a senior engineer can own: agents do the first pass of assessment, porting, and scaffolding; you review, harden, and decide. The work is a distinctive loop. A prototype earns real usage in our experimental sandbox and arrives through a single front door. You assess it, decide what survives, often the idea and the workflow, rarely the code, and rebuild it as an enterprise-grade, production-spec service that meets our full engineering standards: SSO, audit logging, secrets management, CI/CD, infrastructure as code, and security review, baked in from the first commit. While you build, you work directly with business partners, the forward-deployed pattern, pointed inward. Robinhood operates in a heavily regulated industry. Building fast here means building safely, and this team exists to help make sure those aren't in tension. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What You'll Do - Assess vibe-coded prototypes from across the company and make the technical call: harden, rebuild, or redirect, then own the outcome end-to-end. - Design, build, and ship services on Robinhood's enterprise platforms, meeting the company's full standards for secure, reliable enterprise software. - Build AI-natively: drive agents through first-pass assessment, porting, and test scaffolding, and ship MCP servers, sub-agents, and agent skills as production artifacts where the solution calls for them. - Work directly with sponsoring business units (Finance, HR, Legal, Compliance) during each build, translating real workflows into software people actually adopt. - Deliver clean operational handoffs as part of your definition of done: runbooks, evals, and dashboards. - Establish the paved patterns with the Enterprise Platforms team: when you solve the same problem twice, make it a platform capability the third time. - Raise the bar on AI-era engineering quality, including rigorous, teaching-quality review of AI-generated code, your own and others'. What We're Looking For - 5+ years of software engineering experience building and running production backend or full-stack systems, with a track record of independently delivering high-ambiguity projects end-to-end. - Hands-on cloud depth, GCP preferred, including containerized services, CI/CD pipelines, and infrastructure as code, with a strong focus on a serverless stack. - Demonstrated AI-native development: daily fluency with agentic coding tools, experience building LLM-powered applications or agentic workflows, and the judgment to review, harden, and productionize AI-generated code. - Product sense and scoping discipline: you can find the 20% of a prototype worth keeping, say no to the rest, and finish, this team's leverage depends on engagements that end. - Exceptional communication with non-engineers: you're comfortable embedded with finance, legal, or HR partners, translating in both directions without losing precision. - Experience in highly regulated industries, particularly finance or fintech, is strongly preferred. What we offer - Challenging, high-impact work to grow your career. - Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. - Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. - Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more. - Employer-paid life & disability insurance, fertility benefits, and mental health benefits. - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $166,000 - $195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $147,000 - $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $130,000 - $152,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Senior Customer Engineer, South China
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Beijing, China About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, Zero Trust and Developer Platforms). - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer’s evolving business goals and our product roadmap. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer. - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") - Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Machine Learning Engineer, Memory
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. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do As foundation models move from answering questions to acting over long horizons, memory becomes a central requirement. Systems must decide what is worth keeping and improve from experience. Large context windows and retrieval systems are not enough. You will work with researchers on projects across the company that require memory in different modalities to define general solutions that enable models to represent experience, decide what they keep and what they discard, and to efficiently store, retrieve and exploit memory. In this role, you will - Design new memory architectures that work across problems, modalities and products - Define new ways to measure and evaluate memory performance - Help create and deliver production-ready, scalable and high-quality learning models and associated algorithms - Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap What we're looking for - PhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience - Experience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systems - Expert, hands-on knowledge of: - Foundational models and vision and/or language, incl. local deployment and model post-training of open weights models - Memory, state, or long-horizon behaviour in foundation models: your experience may come from language agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modelling - Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) - Experience with working collaboratively with other developers, following a flexible and agile approach EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. 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 .
Senior Data Scientist
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling. As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements. What you'll do: - Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making - Own a broad scope of data and metrics — from core logging to polished data visualizations - Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines - Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders Required Skills and Experience: - BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience - Proven track record of delivering impactful data science work in ambiguous problem spaces - Ability to synthesize complex data into compelling narratives that influence stakeholders - Practical expertise applying advanced modeling frameworks to real business problems - Professional proficiency in SQL and Python - Experience working with digital products in an iterative development cycle - Embodies our core values: clear communication, positive energy, continuous learning, and efficient execution - Comfort using generative AI tools (e.g., LibreChat, Gemini, Glean) responsibly in daily workflows — applying human-in-the-loop practices to drive measurable gains in quality and efficiency Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $181,545 - $191,100 SGD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Senior Engineering Manager, Enterprise AI Product
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase . This role will help the team define what production-ready means at this stage: stronger release discipline, clearer ownership, higher user-facing product quality, stronger engineering practices, and a more scalable operating model. This is a hands-on technical management role for a seasoned engineering leader who has helped early-stage products become reliable, production-ready, and enterprise-ready. You will manage and grow a small senior engineering team, stay close to code quality and technical execution , and partner closely with product and technical leadership to turn an open-source, privacy-respecting AI product into something organizations can deploy with confidence. We are looking for someone who has seen this stage before: a promising early product, a small senior team, real enterprise interest, incomplete process, and the need to move quickly without creating fragile systems or one-off customer work. What you’ll do - Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations. - Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development. - Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality. - Partner with technical and product leadership to turn product direction, AI strategy, user experience goals, and technical priorities into coordinated engineering plans. - Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks. - Maintain high standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness. - Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements. - Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and long-term sustainability. - Lead hiring, onboarding, and resource planning as the Thunderbolt engineering team grows. - Help Thunderbolt scale from an incubation-stage product into a reliable, enterprise-ready open-source AI product. What you bring - 15+ years of professional software development experience, including significant experience in senior engineering leadership or complex product delivery roles. - 5+ years of experience managing technical teams, including senior engineers or senior individual contributors. - A track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft. - Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum. - Technical fluency with AI-enabled products, including the ability to evaluate tradeoffs across areas such as LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation. - Demonstrated experience delivering complex applications across multiple platforms, such as desktop, web, and mobile, using technologies such as Tauri, Electron, React Native, or comparable frameworks. - Experience with enterprise software, regulated environments, or similarly complex technical products, including security, privacy, compliance readiness, administration, integrations, and customer-controlled deployment models. - Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled product architectures, including tradeoffs related to data storage, sync, privacy, reliability, and user experience. - Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, CI/CD, maintainability, or technical debt management. - Excellent communication skills around technical prioritization, release risk, ownership, quality expectations, and tradeoffs. Bonus points for - Experience working in open-source or maintainer-style engineering environments. - Experience with compliance or security standards such as SOC 2, HIPAA, ISO 27001, or similar frameworks. - Experience helping take a product from zero to one in a startup or new product initiative. What success looks like Success in this role means helping Thunderbolt make the leap from promising R&D-stage product to a production-ready, enterprise-grade open-source AI product that security-conscious organizations can deploy with confidence . Within the first year, the Senior Engineering Manager should help turn a fast-moving early product into a team and engineering system that can scale by helping the team: - Define what “production-ready” means for Thunderbolt and consistently meet that bar. - Create the clarity, ownership, and release confidence the team needs to ship quickly and sustainably. - Raise the quality of the user-facing product experience while protecting codebase health, maintainability, privacy, and security. - Build the lightweight structure needed for a senior team to do its best work without slowing down experimentation. - Help build Thunderbolt for global scale, enterprise adoption, and real-world impact! Work environment This is a full-time , fully remote position. You’ll work with our passionate staff, open-source community members and partners from all over the globe. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. Compensation & benefits We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: - US : $215,000 - $240,000 USD In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self. Work & career - Fully remote work & schedule flexibility - Company-provided laptop - Annual bonus program - Monthly remote work stipend - Annual professional development stipend - Access to Coursera l earning platform - Industry conferences - Company all-hands and team gatherings Rest & play - 24 days PTO per year (prorated) - Your birthday - Year-end company shutdown - 9 wellbeing days - Public holidays - Other paid leave - Quarterly wellbeing stipend for personal / family activities Health & family - 401(k) contributions - Health, dental, & vision insurance - Disability insurance - Life insurance - Employee assistance program - Paid parental leave - Paid sick days Work eligibility Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to apply Please apply directly through our career page . We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration. Our commitment to diversity, equity, and inclusion MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. MZLA will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation. LI-REMOTE
Professional Services Commercial Lead
About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. What You’ll Do - Own assigned DeployCo deals from intake through approval, signature, and operational handoff. - Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. - Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a clear recommendation. - Coordinate reviews and approvals across Deployment, Sales, Legal, Finance, Technical Revenue, Billing, and Order Management; surface gaps early and keep stakeholders aligned on next steps. - Identify and coordinate resolution of delivery and commercial risks, including unclear scope or acceptance criteria, infeasible commitments, scope creep, inconsistent documents, and downstream billing or revenue implications. - Maintain accurate deal records, approval evidence, and status updates; meet internal turnaround commitments and ensure a clean post-signature handoff. - Turn recurring issues into stronger templates, playbooks, approval paths, and workflow improvements that increase deal quality and speed. What You Bring - Typically 7+ years of relevant B2B experience across deal desk, commercial contracts or contract management, professional-services operations, sales operations, order management, or a similar function. - 3+ years of substantial, hands-on experience drafting and revising customer-facing SOWs for professional-services engagements. - Experience operating pricing-validation, commercial intake, approval, and routing workflows alongside contract drafting and review. - The ability to translate technical or service requirements into contract-ready scope, deliverables, milestones, dependencies, acceptance criteria, and change controls. - Sound judgment and independent ownership of complex or non-standard deals, including the ability to recommend a practical path forward and escalate the highest-risk issues. - Working knowledge of quote-to-cash and how SOW structure and pricing affect delivery, billing, revenue recognition, and the customer experience. - Clear, concise communication; excellent attention to detail; and the ability to manage multiple time-sensitive deals while influencing partners without formal authority. Preferred Qualifications - Experience as a contract manager supporting customer-facing professional services, consulting, implementation, or managed services. - Experience in cloud, enterprise SaaS, AI, or another complex technology environment. - Familiarity with fixed-fee, milestone-based, and time-and-materials services engagements. - Experience with Salesforce or CPQ, contract-lifecycle-management tools, e-signature platforms, and approval workflow systems. - A track record of improving SOW templates, commercial playbooks, or deal workflows. 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.
Product Manager, Youth
About the Team About the Team: Our team brings OpenAI’s most capable technology to the world through our products. We've released ChatGPT, GPT5.6, and Codex. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth. The Youth Well-Being team focuses on helping young people have safe, age-appropriate, and positive experiences with AI. The team builds features such as age prediction, parental controls, and access to crisis support resources when people need help. Their work brings together product, policy, safety, research, and operations to keep improving how ChatGPT supports teens and families. About the Role We’re looking for an experienced Product Manager for OpenAI’s Youth product efforts. This role will shape how teenagers benefit from AI across OpenAI’s products. This is a high-impact role with the opportunity to improve daily life for millions of people. You’ll work closely with engineering, design, research, policy, legal, communications, finance, and operations teams. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Create age specific product experiences for Identify user needs and turn them into high-impact product opportunities, owning products end-to-end, from concept through launch and iteration. - Build experiences that balance usefulness, simplicity, trust, safety, and accessibility. - Define success metrics and use data and research to guide roadmap decisions. - Partner cross-functionally to execute quickly and effectively. You might thrive in this role if you: - Have 10+ years of product management experience leading large-scale consumer or platform products. - Have experience building for teenagers - Have strong product judgment and can simplify complex problems. - Work effectively with technical teams and ship high-quality products. - Are analytical, user-focused, and an excellent cross-functional communicator. - Care deeply about using AI to improve everyday life. 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.
Consumer Marketing Lead, Korea
About OpenAI: OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while working to deploy them safely and responsibly 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. About the Role: We are seeking an experienced Korea Consumer Marketing Lead to set the strategy and lead execution for one of OpenAI's most important and dynamic consumer markets. This is a senior role for a full-stack consumer marketer with deep understanding of Korean culture, audiences, platforms, and the competitive landscape - someone who can translate market insight and product momentum into sustained growth and brand relevance. You will own integrated consumer marketing for Korea across brand, product, digital, social, creators, partnerships, and cultural moments. You will be responsible for growing adoption and attachment, shaping how OpenAI shows up locally, and representing the Korean consumer perspective in regional and global decisions. You will work closely with the Korea B2B Marketing Lead and local market leadership while maintaining clear ownership of the consumer agenda. Key Responsibilities: - Set and execute Korea's consumer marketing strategy, grounded in priority audiences, local insight, a clear role for ChatGPT, and measurable business outcomes. - Lead full-funnel programs that grow weekly active users, product adoption, retention, brand preference, and advocacy. - Translate new product capabilities into locally resonant stories, use cases, launches, creator programs, partnerships, and cultural moments. - Lead local agencies, creators, platforms, and production partners to deliver culturally relevant, high-quality work across paid, owned, and earned channels. - Partner closely with Product Marketing, Growth, Social, Comms, Partnerships, Global Affairs, Legal, Insights, regional leadership, and Korea GTM to deliver coordinated programs. - Represent the voice of Korean consumers internally, ensuring local nuance and market evidence shape strategy, creative, product positioning, and execution. Qualifications: - 10+ years of marketing experience, with a strong record of building consumer brands and driving product growth in Korea. - Deep understanding of Korean culture, consumer behavior, media, creators, platforms, and marketing dynamics; fluency in Korean and English. - Proven ability to build and execute integrated plans across brand, product, digital, social, creator/influencer, partnership, and experiential channels. - Strong strategic judgment paired with a hands-on operating style; comfortable prioritizing and delivering in a fast-paced, rapidly evolving environment. - A strong network of local agencies, creators, platforms, creatives, and production partners, with experience raising the quality bar for external work. - Excellent communicator and collaborator, able to influence senior cross-functional leaders and represent a clear local point of view. 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.
Partner Programs & Marketplace
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 $11B - 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 will help build and scale the next phase of ElevenLabs’ partner ecosystem. The role has two core areas of focus: Build the ElevenLabs Partner Marketplace. Create a destination where customers can discover agents, applications, integrations and services built by our ecosystem, and where developers and partners can showcase and distribute what they build. Scale partner engagement with AI. Develop new ways to onboard, enable and grow a broad partner ecosystem through automation and AI-powered experiences, while ensuring our highest-priority partners continue to receive focused support. The goal is to create a strong ecosystem flywheel: more customer demand attracts more builders, more builders create more valuable solutions, and those solutions create more value for customers and partners. This is a highly cross-functional role working across Partnerships, Product, Engineering, Marketing and Sales. WHAT YOU’LL DO BUILD AND SCALE THE ELEVENLABS PARTNER MARKETPLACE Own the marketplace from early concept through launch and ongoing growth. Define how partners list agents, applications, integrations and services, and how customers discover and evaluate the solutions most relevant to them. Work closely with Product and Engineering on the marketplace experience, including listing workflows, discovery, search, analytics and partner tooling. GROW CUSTOMER DEMAND FOR PARTNER SOLUTIONS Help make the marketplace an active source of customer discovery and demand, not simply a directory. Build programs and product experiences that connect ElevenLabs customers with relevant partner solutions across our website, product, sales motions and campaigns. Create meaningful distribution for developers and partners building on ElevenLabs. BUILD AI-POWERED PARTNER EXPERIENCES Develop AI-powered experiences that help partners onboard, learn, activate and grow with ElevenLabs. Use partner and product signals to deliver relevant enablement, recommendations, campaigns, incentives and opportunities at scale. Identify areas where automation can make partner engagement faster, more personalized and more effective. DRIVE PARTNER ACTIVATION AND GROWTH Build scalable programs that help partners move from onboarding to activation and measurable business outcomes. Own key parts of the partner lifecycle and continuously improve activation, marketplace participation, customer engagement, pipeline and partner-sourced revenue. WHO YOU ARE - You are a builder who enjoys taking ambiguous, early-stage problems and turning them into scalable products and programs. - You understand marketplaces, developer ecosystems, PLG or platform businesses and the dynamics that make them successful. - You think about partnerships through a product, growth and customer lens. - You are comfortable working with AI and excited about using it to create better partner and customer experiences. - You can work effectively across Product, Engineering and GTM teams. - You are analytical and focused on measurable outcomes such as activation, engagement, conversion and revenue. - You move quickly, experiment, learn and iterate. WHAT SUCCESS LOOKS LIKE You will have built a marketplace that customers use to discover valuable solutions, created meaningful distribution for developers and partners, and developed scalable, AI-powered ways to engage a much broader ecosystem. Success means making ElevenLabs a more valuable platform for both sides of the ecosystem: partners build because they can reach customers, and customers benefit from a growing range of solutions built on ElevenLabs. 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.
Software Engineer, API Safety
About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. The API Platform turns frontier research into reliable capabilities that developers use to build transformative products and services for people around the world. API Safety's goal is to ensure safe deployment of frontier models in the API. We design APIs and systems that help developers share usage context, understand safety events, and apply safeguards tailored to the risk profile of the applications they are building. This work is critical to our frontier model launches and partners closely with teams across API, Integrity, and Safety Research. About the Role We're looking for product-minded software engineers to join a team that is addressing emerging risks at the frontier of model development while building novel solutions for real-world AI deployment. The day-to-day work ranges from solving production challenges to designing new product experiences and safeguards. The right candidate is comfortable balancing tradeoffs across developer experience, latency, reliability, and risk. In this role, you will: - Design and build dashboards and APIs for safety controls and customer-facing observability. - Develop scalable systems that extend trusted safety capabilities to new use cases, customers, and deployment environments. - Partner with Safety Research and Integrity to build safeguards that mitigate emerging risks. - Be responsible for the availability, latency, and scalability of safeguards across high-volume API traffic. - Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards Your background might look something like: - 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. - A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. - Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production. - Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript. - Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs. - Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs. - Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers. - Experience with observability, abuse prevention, trust and safety, identity, security, privacy, compliance, or risk systems is a strong plus. - Interest in helping frontier AI reach more developers and businesses responsibly. 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.
Product Marketing Manager, Cybersecurity
About the Team The Industry Marketing team helps OpenAI bring frontier AI to the industries where it can create meaningful, measurable impact. We work across Product, GTM, Communications, Partnerships, Policy, Security, and Research to translate model and product capabilities into industry narratives, field motions, customer proof, and launch programs that help enterprises adopt AI responsibly. About the Role As Product Marketing Manager, Cybersecurity, you will help define how OpenAI brings frontier AI to cyber defenders. This role sits at the center of Daybreak, OpenAI’s cybersecurity initiative to help defenders see risk earlier, act sooner, and build software that is resilient by design. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior security leaders understand how OpenAI models, Trusted Access for Cyber, Codex Security, and related workflows can support real defensive work. We’re looking for a product marketer who combines strategic narrative, technical curiosity, enterprise go-to-market judgment, and program leadership. The right person can turn fast-moving capabilities into clear positioning, credible assets, and practical field execution. In this role, you will: - Own positioning and messaging for OpenAI’s cybersecurity offering, including Daybreak, Trusted Access for Cyber, Codex Security, and related product surfaces. - Build field-ready assets for account directors, solutions engineers, security leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages. - Translate frontier model capabilities into simple, accurate, and defensible go-to-market language for senior enterprise buyers and security practitioners. - Partner with Product, Research, Security, Policy, Communications, Partnerships, and GTM to coordinate launches, claims, proof points, enablement, and customer-facing guidance. - Develop campaigns and activation programs spanning launches, blogs, webinars, roundtables, executive briefings, conferences, customer proof, and account-based motions - Turn customer deployments, vulnerability scans, and partner feedback into approved stories, evidence, ROI narratives, and repeatable industry use cases. - Serve as the connective tissue for the cybersecurity marketing workstream, keeping priorities, owners, launch readiness, open questions, and executive updates clear. - Maintain a high bar for accuracy, governance, customer trust, and responsible marketing in a sensitive and fast-moving category. You might thrive in this role if you: - Have 7+ years of experience in product marketing, industry marketing, cybersecurity marketing, enterprise GTM, or an adjacent B2B technology role. - Have marketed technical enterprise products to security, developer, IT, risk, or C-suite audiences. - Can translate complex model, product, and security concepts into clear positioning, field assets, and customer-facing narratives. - Have strong cross-functional program leadership instincts and can drive work across Product, GTM, Communications, Partnerships, Policy, Security, and Research. - Use customer evidence, field signals, product usage, market research, and competitive context to sharpen strategy and prioritize work. - Have built GTM programs, operating rhythms, or new playbooks in ambiguous, high-velocity environments. - Bring strong writing, messaging, and editorial judgment, with a high bar for clarity, quality, accuracy, and credibility. - Are deeply curious about cybersecurity, AI, software development, enterprise adoption, and how new capabilities become meaningful customer value. - Think strategically about how industry marketing drives awareness, trust, pipeline, adoption, customer proof, and long-term market leadership. - Are highly collaborative and effective at influencing senior stakeholders, field teams, technical teams, and external partners. - Execute quickly while maintaining a high quality bar across messaging, launches, enablement, customer proof, and campaigns. - Have experience in cybersecurity areas such as application security, SecOps, cloud security, vulnerability management, detection and response, or secure software development. - Have experience with AI, developer tools, cloud infrastructure, API platforms, or enterprise software. - Have supported enterprise account-based marketing, executive events, customer stories, partner marketing, or field enablement. - Are familiar with CISOs, security practitioners, enterprise governance, procurement, and high-trust customer environments. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. 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.
Electrical Engineer, Actuator test infrastructure
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 constraints of physical systems to improve peoples’ lives. About the Role We are seeking an Electrical Engineer to build and own the electrical backbone of our robotic actuator dynamometer and test infrastructure. You will design, integrate, and operate the load motor drives, power distribution, instrumentation wiring, DAQ interfaces, and safety systems that make high-performance robotic actuator testing repeatable, safe, and scalable. This role spans hands-on lab execution and system architecture: selecting and commissioning power electronics, designing robust test-cell electrical systems, bringing up sensors and DAQ, and partnering with mechanical and software engineers to turn robotic actuator hardware into trustworthy data. In this role, you will - Own the electrical architecture of dynamometer and actuator test cells, from mains distribution and protection through load motor drives, braking, and auxiliary power. - Specify, integrate, commission, and tune motor drives and load machines for robotic actuator torque, speed, efficiency, thermal, and durability testing. - Design power distribution, grounding, shielding, cable routing, and connectorization for high-current, high-voltage, and low-level measurement systems. - Integrate torque, position, speed, temperature, voltage, current, vibration, and other instrumentation from robotic actuators into DAQ and control systems. - Develop electrical schematics, wiring diagrams, panel layouts, harness documentation, and test-cell interface definitions. - Build, debug, and maintain test-cell electrical hardware, rapidly diagnosing noise, EMI, grounding, drive, sensor, and power-quality issues. - Design and validate safety circuits including E-stops, interlocks, contactors, safe torque off, guarding interfaces, and fault detection. - Partner with mechanical engineers on packaging, cooling, fixturing interfaces, and serviceability of test infrastructure. - Partner with software and controls engineers on I/O maps, real-time signals, calibration, automated sequences, and reliable data capture. - Establish commissioning, calibration, inspection, and preventive-maintenance procedures for lab electrical systems. - Evaluate vendors and components for drives, motors, sensors, DAQ hardware, protection devices, and electrical enclosures. - Analyze test and diagnostic data to improve measurement quality, cell uptime, and hardware reliability. - Set practical electrical standards that enable a growing dyno lab to operate safely and consistently. You might thrive in this role if you Have strong intuition for power electronics, motor drives, electrical safety, and precision measurement in noisy electromechanical environments. - Enjoy being hands-on in the lab: wiring, probing, commissioning, debugging, and improving real hardware. - Can move comfortably between system-level architecture and detailed electrical implementation. - Care about clean grounding, shielding, calibration, and signal integrity because trustworthy data depends on them. - Are comfortable working with evolving hardware and creating structure in a fast-moving environment. - Take ownership of safety and operational reliability, not just a schematic or subsystem. - Communicate clearly across electrical, mechanical, controls, software, facilities, and operations teams. - Balance engineering rigor with rapid iteration and pragmatic lab execution. - Are motivated by building infrastructure that accelerates the development of advanced robotic actuators. - Are excited to build electrical test infrastructure that accelerates robotic actuator development. Preferred qualifications - Preferred qualifications - Bachelor’s or graduate degree in Electrical Engineering, Robotics, Mechatronics, or a related field. - Experience building, commissioning, or maintaining electrical systems for robotic actuator dynamometers, robotics, automation, motors, power electronics, or industrial test equipment. - Hands-on experience with motor drives, servo systems, load motors, power distribution, and electrical protection. - Strong understanding of grounding, shielding, EMI/EMC, signal integrity, and instrumentation wiring. - Experience integrating sensors and DAQ hardware for voltage, current, torque, position, speed, temperature, or vibration measurements. - Familiarity with electrical safety practices, E-stops, interlocks, safe torque off, lockout/tagout, and relevant lab or machinery standards. - Ability to create and maintain schematics, wiring diagrams, panel layouts, and clear electrical documentation. - Experience troubleshooting complex electromechanical systems with oscilloscopes, meters, power analyzers, and other lab tools. 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.
Data Acquisition Lead, Frontier Environments
Join the team shaping the future of AI at Scale. Scale builds RL environments: sandboxed replicas of the digital spheres where real knowledge work occurs and built from the operating data of the companies that actually hold it. As the Data Acquisition Lead , you will own the commercial motion that gets us that data end to end. You will figure out which companies sit on the data for the next domain worth owning and then go and get it. This is a zero-to-one function with no playbook. You should be prepared to wear many hats, from thesis-driven dealmaker to hands-on operator to technical translator between commercial and Research teams. You will: - Map the supply side. Work backwards from where labs are pushing to the specific organizations holding the underlying data. Build a thesis on which domains are worth owning and in what order. - Invent the deal structures. You'll work with Scale’s legal team to define the first version of how these transactions get priced. - Close. Own it from cold outreach to signature. - Close the loop with the technical side. You need to hold a real conversation about what makes a dataset trainable and become an expert in what makes this underlying data valuable. - Build the machine. Do the work by hand first, then turn what you learn into a repeatable pipeline. Ideally, you’d have: - 5+ years across some mix of business development, corp dev, commercial strategy, or early-stage GTM. The label matters less than a track record of building a commercial motion that didn't exist before you got there - A strong track record of managing important external relationships - Strong business judgment and the ability to evaluate partnership value quickly - Clear communication skills and comfort working with senior stakeholders - Ability to operate independently while staying closely connected to cross-functional teams - A practical, hands-on approach to building new functions from the ground up - Comfort working in fast-moving, ambiguous environments - Experience in AI, data infrastructure, marketplaces, platforms, or high-growth technology companies - Familiarity with post-training, RL, evals, or synthetic data - Experience with data licensing, IP, or regulated data - Experience partnering closely with Legal and Finance on complex agreements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $182,400 - $228,000 USD 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.
Senior Manufacturing Quality Engineer, Data Center...
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 building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Senior Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness - Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. - Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables. - Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts. Factory acceptance and in-process quality - Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing. - Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability. - Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready. Nonconformance and corrective action - Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods. - Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement. - Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs. Metrics and continuous improvement - Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews. - Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT. - Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them. Who You Are - 6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry. - Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other. - Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation. - Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent. - Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them. - Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own. - Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership. - Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience. Nice to Have - Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models. - Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require. - Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing. - ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification. - Experience standing up a supplier quality function or QMS from a small base. - Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar). Logistics - Location: [San Francisco / hybrid — or remote US with hub access?] - Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 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.
Incident Manager - Detection & Response
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team protects our systems, users, and data from security threats. We're looking for a Technical Program Manager to own and grow incident management within D&R. This is a senior specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You'll own our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Some of the highest-impact work happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working across engineering, security, infrastructure, and product teams so that broad fixes and systemic improvements actually get implemented. Beyond managing incidents, you'll make sure the organization learns from them and gets better each time. 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.
Data Center Operations Lead - Partner Site Operati...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work. As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met. You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide. What you’ll own - Operational outcomes. Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting. - Vendor direction. Set daily and weekly priorities and lead the operating cadence, including standups and business reviews. - Process definition. Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program. - Performance management. Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary. - Incident response and on-call. Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions. - Internal interface. Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership. Representative work - Leading weekly operations reviews and scorecards with vendor site leads. - Directing deployment surges to meet first-compute-online milestones. - Analyzing failure patterns to identify root causes and driving fixes with owners. - Creating break-fix ownership matrices and training vendor teams. - Serving as Incident Commander for facility events and producing post-mortems. - Establishing operational readiness for new data halls, including spares and security. - Identifying process gaps and codifying improvements as program standards. You may be a good fit if you - Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability. - Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action. - Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality. - Have built or substantially improved operational processes, not just run them. - Have served in an incident command or lead-responder role and communicate clearly under ambiguity. - Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows. - Bachelor's degree in relevant domain or equivalent practical experience. Strong candidates may also have - Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs. - Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. - Experience with GPU/accelerator or high-density liquid-cooled infrastructure. - Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners. - Experience leading projects from initiation to completion across teams you didn't own. - Background in incident management frameworks, contract/SLA design, or EHS programs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 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.
Accounting Analytics & BI Engineer
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 our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world. You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust. Increasingly, it also means defining the future of AI-powered accounting automation; finding where AI can take on work that is manual today and reshape how the function operates. This is a foundational, hands-on role at the intersection of accounting, analytics, and business intelligence. You'll establish the durable, scalable systems the fast-growing function depends on, bringing the rigor of a culture of excellence to a function still being built from the ground up, and taking projects end to end, from an ambiguous question to a trusted, scalable system. Key responsibilities - Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows - Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data - Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations - Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis - Define the future of AI-powered accounting automation in partnership with stakeholders, streamlining workflows and reducing manual effort - Champion data quality, testing, and documentation across the data stack Minimum qualifications - Proficiency in SQL and Python (or another object-oriented programming language) - Experience with data modeling and orchestration tools (e.g., dbt and Airflow) - Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit) - Experience designing self-serve analytics experiences for non-technical stakeholders - A track record of partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis Preferred qualifications - Experience using AI to improve or automate analytical processes - Experience building data applications - Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures - Experience modeling financial impact, including forecasting and scenario analysis - A bias for action and urgency, not letting perfect be the enemy of effective - A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress - A deep curiosity and energy for pulling the thread on hard questions - A passion for Anthropic's mission of building safe, beneficial AI 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: $220,000 - $270,000 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.
Technical Operations Analyst, User Safety & Risk
About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. Within USRO, Risk Incubation & Systems builds the analytics, automation, monitoring, quality mechanisms, and operating systems that help teams identify risk, make sound decisions, and scale safely. Our work spans emerging-risk detection, operational measurement, workflow automation, quality systems, launch readiness, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Data Science, Product Policy, Safety, Legal, and Support to identify high-leverage opportunities and build practical systems that improve outcomes. About the Role We are hiring a Technical Operations Analyst to solve ambiguous, high-impact operational problems using data, technical tools, and strong judgment. You will work as an experienced individual contributor across USRO, moving from problem definition through analysis, workflow design, implementation, measurement, and handoff. The scope is intentionally broad and may span emerging-risk detection, operational quality, automation, launch readiness, and other priority programs. You will be expected to move between different problem areas as organizational needs evolve. This is a hands-on role. You should be comfortable querying and validating data, building dashboards and lightweight automations, using AI tools to accelerate work, and working directly with operators and technical partners to turn incomplete information into practical systems. Your work may also include data and operational monitoring issues for major cloud deployment partnerships—for example, validating pipelines and safety signals, investigating anomalies or discrepancies, improving reporting and escalation mechanisms, and documenting data limitations so partner teams can act with confidence. Location / work model: London, UK; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, judgment, and resilience are essential. In This Role, You Will - Independently scope ambiguous operational problems and frontier & emerging risks, and turn them into clear analyses, workflows, tools, or decision systems. - Analyze large and complex datasets to identify patterns, data-quality gaps, operational blind spots, and source-of-truth issues. - Build and maintain dashboards, monitoring, alerts, recurring reporting, and workflow automations. - Develop systems for detecting and assessing emerging risks, including classifier, evaluation, labeling, and human-review feedback loops. - Support major cloud deployments and partnerships by validating data pipelines and safety signals, investigating anomalies, and improving operational monitoring, reporting, and escalation. - Design practical quality controls such as sampling plans, golden datasets, validation holdouts, thresholds, human review, and fallback paths. - Use AI and LLM-based tools to improve speed and scale while applying appropriate testing, quality assurance, and human oversight. - Translate technical and operational findings into clear recommendations, tradeoffs, decisions, and next steps for partner teams. - Partner across Operations, Product, Engineering, Data Science, Product Policy, Safety, Legal, and Support to define ownership, requirements, and durable handoffs. - Document system logic, limitations, operating procedures, and maintenance expectations so others can run and improve the work. You Might Thrive in This Role If You - Have 5+ years of experience in technical operations, data analytics, trust and safety, risk operations, product operations, or a related field. - Are strong in SQL and comfortable working with unfamiliar datasets, schemas, joins, denominators, and data-quality issues. - Have built practical dashboards, tools, automations, or operating systems and owned them from initial scoping through adoption and maintenance. - Can use AI and LLM tools to accelerate real workflows while independently validating outputs and managing failure modes. - Understand how to measure technical or operational systems using concepts such as precision, recall, coverage, error analysis, quality assurance, and human review. - Exercise sound judgment in scaled operations, including queues, escalations, reviewer workflows, capacity, quality, and incident response. - Move quickly in ambiguous environments, make thoughtful tradeoffs, and create structure without waiting for perfect requirements. - Communicate complex findings clearly to technical, operational, and leadership audiences and drive work through cross-functional partners. Nice to Have - Experience in trust and safety, fraud, scaled or adversarial abuse, integrity, emerging-risk detection, or other high-stakes operational domains. - Experience supporting cloud, enterprise, or privacy-preserving deployments with constrained data access or specialized monitoring requirements. - Experience with classifiers, evaluations, golden datasets, labeling programs, reviewer calibration, or model-quality measurement. - Experience with Python, notebooks, data-pipeline troubleshooting, or other lightweight technical development. - Experience designing quality systems or workflows that involve vendors, BPOs, or distributed operational teams. 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.
Senior Frontend Platform Engineer, Design Systems
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT US: At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. ABOUT THE ROLE: LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products. As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency. This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product. You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products. What You’ll Do: - Build and own LangChain’s component library - Design and implement reusable, composable React components that are flexible, accessible, and production-ready - Partner closely with designers to translate design systems, tokens, and interaction patterns into code - Build reliable UI quality systems - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook) - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack - Improve UI build and test workflows - Optimize build performance, bundling strategy, and package versioning for the component library - Maintain tooling for testing, dependency management of the UI app HOW TO BE SUCCESSFUL IN THIS ROLE: - Strong experience building modular, composable, and well-documented component libraries and/or design systems - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.) - Experience collaborating closely with designers and non-engineering partners - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design - Familiarity with testing UI components and visual regression testing Compensation: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $170,000 - $195,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Staff+ Software Engineer, Developer Experience
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform serves developers and enterprises at scale. The Developer Experience (DevX) team owns the surfaces those developers touch every day: the Console, the docs platform, and our SDKs and CLI. Our job is to make the Platform easy to adopt and trustworthy enough to build critical applications on, to get new model and API capabilities into developers' hands fast and ergonomically, and to build for both humans and the coding agents that increasingly use our docs and SDKs on their behalf. The work splits into two workstreams, covered below, and we need your help across both. What you'll do DevX Core: You'll help drive technical direction for the Console and docs platform — the surfaces every developer on the Claude Platform uses — working with product and design from problem definition through launch. The Console is also the front door for tens of internal teams shipping their own features onto it, so you'll set the platform patterns and standards they build against. SDKs: You'll own the SDKs across seven languages plus our CLI — the first thing most developers (and most coding agents) touch when they integrate Claude. You'll partner with API teams early so every new platform capability lands in the SDKs as an idiomatic, ergonomic feature on day one, and you'll drive the code generation, testing, and release pipeline that keeps seven languages consistent and shipping fast. You might be a good fit if you: - Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level - Have led the design and delivery of complex, developer-facing products across the full stack - Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) - Take a product-focused approach to building solutions that are robust, scalable, and easy to use - Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 - Care deeply in investing in the mentorship and growth of your peers - Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority - Have experience establishing engineering standards, component architectures, and development best practices - Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Product Manager, Business Technology
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 Product Manager for Business Technology, you will own internal products that shape how Anthropic works with Claude. You will embed with internal customer teams such as Legal, IT, GTM, Product, Finance, and Security to understand how they work, find where Claude can remove friction, and ship software and automation that changes their outcomes. This role requires strong product judgment, comfort with technical systems, and the ability to turn messy internal needs into clear priorities. You will work closely with engineering, IT, IT Engineering, Security, and the teams you serve. You will own outcomes, not features. Adoption and measured business impact are how your work is judged. Core responsibilities Internal product ownership - Own the roadmap for Claude-powered internal products and automation across one or more customer functions. - Run intake and prioritization so that the highest-impact problems get built first and the rest get a clear answer. - Write crisp problem statements and requirements that engineers can act on without rework. - Ship iteratively, gather feedback from the people using the product, and keep improving it after launch. Adoption and business impact - Co-develop adoption roadmaps with internal customer teams and hold both sides to them. - Define success metrics before work starts and report adoption and business impact on a regular cadence. - Treat change management as part of the product. Plan rollout, training, and support so that what you ship gets used. - Kill or rework products that are not earning their keep. Cross-functional partnership - Build trusted relationships with leaders in the functions you serve and translate their needs into product priorities. - Partner with IT, IT Engineering, and Security on access, data handling, and governance so that internal Claude usage follows internal policy. - Coordinate with Legal and Finance on the requirements that apply to your products. - Communicate plans, progress, and tradeoffs clearly to the teams and leaders you work with. Technical leadership - Understand how Claude, internal systems, and integrations fit together well enough to make sound scoping and sequencing calls. - Partner with engineering on architecture choices that keep internal products maintainable and secure. - Stay current on Claude capabilities and bring new ones to internal teams where they fit. Qualifications Required - You have deep product management experience, including ownership of products used by internal teams. - You have shipped products that measurably changed how a team or function works. - You have partnered with engineering, IT, and security teams on technical products. - You communicate clearly in writing and in person. You can explain a tradeoff to an executive and a requirement to an engineer. - You are comfortable operating with ambiguity and setting priorities across competing requests. Nice to have - You have built with LLMs or agent tooling. - You have worked on IT, internal tools, or business systems products. - You have led change management or rolled out new tools across an organization. - You know security and data-handling practices for internal systems. Deadline to apply: None. Applications will be received 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. Annual Salary: $305,000 - $385,000 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.
Partner Account Manager, DACH
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 Partner Account Manager DACH you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Germany, Austria and Switzerland. You will own a defined set of named partners end to end — a mix of (a) in-country DACH practices of our global system integrators (e.g. Accenture, Deloitte, Capgemini, PwC, BCG), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that DACH enterprises and the Mittelstand actually buy from. The DACH partner book is split between you and the Head of Partnerships DACH and CEE; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our DACH sales team and the partner-sourced and partner-influenced pipeline that results from it. This is a builder role: partner-sourced pipeline in DACH is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities Partner development and execution: - Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. - For your assigned GSI country practices: activate the DACH teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). - Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority DACH industries: automotive and manufacturing, financial services and insurance, public sector, telco, pharma and chemicals. - Drive co-selling with the DACH AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. Performance and KPI ownership: - Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the DACH sales team. Market development and brand building - Represent Anthropic in the DACH partner ecosystem — partner events, joint customer events, and partner-led marketing in German. - Adapt the global partner playbook to DACH buying behaviour (Mittelstand vs. DAX/SMI enterprises, long procurement cycles, works councils, preference for local delivery partners) and decide deliberately what not to copy. - Navigate the regulatory and sovereignty topics that come up in almost every DACH deal (GDPR, EU AI Act, data residency, regulated industries such as banking and insurance) together with the partner and our internal experts. - Build differentiated joint value propositions with partners so that Claude is the default recommendation of the DACH consulting ecosystem. You may be a good fit if you have: - Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. - 8+ years of partner / alliances / channel experience with system integrators and consultancies in DACH, ideally at a cloud, data or AI platform company. - Existing relationships in the DACH practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Germany, Austria and Switzerland. - Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in DACH. - History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. - Competitive drive — obsessed with winning and creating differentiation - Collaborative — you work as an extension of the DACH sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. - Business-fluent German (C1+ / native) and English; able to run partner executive conversations and enablement sessions in German. - Based in Germany and willing to travel regularly within DE / AT / CH and occasionally to London and San Francisco. - Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our DACH and CEE Partnerships leader who is based in Munich. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Technical Account Management teams. Location and Travel Based in Germany, ideally Munich; Berlin or Frankfurt are possible with regular time in Munich and with the sales team. Regular travel to partners and customers across Germany, Austria and Switzerland, plus occasional travel to London (partner leadership) and San Francisco (onboarding). 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. Annual Salary: €160.000 - €220.000 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.
Enterprise Account Executive - Digital Native Busi...
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 one of Anthropic's founding Enterprise Account Executive for Digital Native Business (DNB) in India , you'll be a member of our GTM expansion into one of the world's most dynamic and rapidly growing technology markets. You'll drive adoption of safe, frontier AI by securing strategic deals with India's leading digital-native companies—from high-growth startups to established unicorns—unlocking new value streams throughout their businesses. In this pioneering role, you'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. You'll have the unique opportunity to shape our India market strategy from the ground up, establishing best practices and go-to-market approaches that will scale as we grow. In collaboration with GTM, product, and marketing teams across regions, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value in the Indian technology landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As a founding team member in India, you'll build the foundation for our long-term success in the region while driving deployment of Anthropic's emerging products to help enterprises obtain new capabilities and advance the ethical development of AI. Key responsibilities - Win new business and drive revenue for Anthropic in India. Find your way to the right people at prospective digital-native 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 tailored to the India market to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics specific to Indian digital-native businesses to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases within India's thriving startup and scale-up ecosystem. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge in the region - Establish foundational go-to-market practices as a first mover in the India market, creating playbooks and frameworks that will scale with our growing team - Inform product roadmaps and features by gathering customer feedback and conveying market needs specific to Indian enterprises. Provide insights that strengthen our value proposition and enhance the customer experience in the region - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency as we build our India presence - Serve as a market expert on India's digital-native business landscape, providing strategic insights to global leadership on regional trends, competitive dynamics, and growth opportunities Minimum qualifications - 10+ years of enterprise sales experience driving adoption of emerging technologies with digital-native businesses in India, with a consultative, solutions-oriented sales approach - Deep understanding of India's startup and scale-up ecosystem , including familiarity with leading digital-native companies across sectors such as fintech, e-commerce, SaaS, edtech, and more - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems , building consensus and providing innovative solutions to disparate groups across technical and business functions - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in the Indian market context - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives, with cultural fluency in Indian business contexts - Entrepreneurial mindset and comfort with ambiguity as a founding team member—you thrive in early-stage environments where you're building processes and strategies from scratch - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who embraces the opportunity to shape our India market entry - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Preferred qualifications - Experience selling AI/ML, developer platforms, cloud, or API-based products to technical buyers - Existing relationships with founders, CTOs, and product leaders at prominent Southeast Asian technology companies - Experience working with hyperscaler or channel partners to co-sell into regional accounts - Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Vietnamese, Thai) - Experience establishing a new market or region for a high-growth technology company - A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely 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.
Data Center Electrical Engineer
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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer based in the US, you’ll lead the electrical design of our facilities across our rapidly expanding US portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication and modular construction. You’ll help drive Anthropic’s offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — that compress schedules and reduce onsite labor. You’ll bring deep familiarity with US electrical codes and the local network and regulatory environment, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs), agencies having jurisdiction, vendors, and contractors. This is also a highly cross-functional role: you’ll work with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify regional equipment vendors and create optionality in a constrained market. Responsibilities Electrical design & engineering - Lead the electrical design of critical data center equipment across the US portfolio, including utility interface and substation, site-wide medium-/high-voltage infrastructure, generators, uninterruptible power supplies (UPS), switchgear, transformers, and grounding systems. - Develop and maintain Anthropic’s electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery — producing designs that meet or exceed our quality requirements while staying within budgetary targets. - Perform and validate engineering studies including short-circuit, protection coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection. - Read, interpret, and validate data center floor plans and technical drawings, and design and plan DC hall layouts for newly allocated spaces — including rack positioning, structured cabling, power distribution, and coordination with the cooling design. Prefabrication & modular delivery - Drive Anthropic’s prefabricated and modular electrical strategy — developing modular skids, e-houses, and prefabricated power assemblies, and partnering with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities and a productization roadmap that accelerates deployment and reduces onsite labor. - Design for offsite manufacture and onsite assembly: coordinate the interface between prefabricated components and onsite installation, and manage temporary power sequencing tied to commissioning milestones. - Drive standardization of modular electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations. Partner, vendor & utility coordination - Review and approve electrical design packages, submittals, and shop drawings from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements; review proposed technologies and clarify design justifications. - Work with regional vendors and manufacturers to specify the appropriate electrical equipment, and partner with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk. - Work with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs) to understand and define site utility and network connection requirements, and with local agencies having jurisdiction to ensure compliance with the National Electrical Code (NFPA 70/NEC), NFPA, IEEE, and ANSI requirements, and other jurisdictional requirements. - Present findings and proposals to internal stakeholders and DCO teams through clear reports and presentations, and defend design positions when challenged. Delivery, construction & commissioning - Define project scope and provide technical support for information requests prior to and during construction; coordinate and oversee the implementation of data center infrastructure with vendors, contractors, and internal teams, ensuring work follows approved designs and complies with safety, regulatory, and operational standards. - Work with commissioning teams to test and validate the installation, operation, and performance of electrical systems; resolve field engineering issues and review test results against design intent. - Manage concurrent projects across multiple geographies, and travel to sites for design review, electrical systems audits, engineering evaluations, and startup support alongside onsite field engineers. - Contribute to the continuous improvement of Anthropic’s internal electrical design standards and delivery practices, and act as a leader within the global engineering group and across the internal and external teams that support our data centers. You may be a good fit if you - Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design across the project lifecycle — from concept design through construction, commissioning, and handover. - Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E (electrical safety), IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558 for switchgear) — and with local utility interconnection and regulatory requirements (utility interconnection processes, ISO/RTO market rules). - Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the coordination between prefabricated components and onsite assembly. - Hold a bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field; RPEQ or CPEng registration (or eligibility) is valued but not required. - Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center schematics and technical layouts with confidence. - Have strong knowledge of rack layout, structured cabling, power distribution, and cooling infrastructure in high-availability data center environments. - Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower. - Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets. - Have worked directly with electrical equipment manufacturers, vendors, and contractors, and can evaluate products on technical merit, not just datasheet claims. - Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it. Strong candidates may also have - Direct project experience delivering data centers in multiple US markets (e.g., Virginia, Texas, Arizona, Ohio, Oregon) and deep familiarity with the National Electrical Code (NFPA 70), NFPA 70E, and the IEEE color book series alongside the US standards above. - A track record building modular prefabricated products in electrical or mechanical areas of the data center, and driving designs toward offsite manufacturing. - Background in medium-/high-voltage distribution, on-site generation, or energy storage integration, including battery energy storage systems (BESS) and renewable generation sources. - Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution. - Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients. - Experience driving reference designs or standards adopted across multiple sites or by external partners. 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: $1 - $2 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.
Channel Account Manager, Reseller
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 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 Reseller Partner Manager for Japan, you will be responsible for recruiting, managing, and scaling our reseller and distributor partners to accelerate the adoption of Claude across the Japanese enterprise market. You will help partners add our products to their portfolios, build the commercial motions that make reselling Claude attractive, and drive joint go-to-market execution with them. You will own quarterly revenue targets delivered through the reseller channel, both from new customer acquisition and from expansion within existing accounts. The position involves direct collaboration with partners and internal teams to remove obstacles and implement growth strategies. You will design partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and develop co-selling models. While revenue contribution is the key metric, building a repeatable and scalable reseller program is what drives consistent growth. This role is critical to expanding our reach in Japan beyond direct sales, enabling us to serve Japanese enterprises at scale through partners they already trust. You will be instrumental in building our reseller channel from the ground up in one of the world's most sophisticated technology markets. Responsibilities Reseller Partner Management - Identify, recruit, and onboard reseller and distributor partners that fit our Japan go-to-market strategy - Develop and execute joint business plans with key resellers, including revenue targets, pipeline commitments, and enablement milestones - Build and maintain executive and sales-leadership relationships within partner organizations, navigating complex organizational structures and decision-making processes - Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs - Negotiate and structure reseller and distribution agreements, including commercial terms, margin structures, and deal registration Revenue Generation and Pipeline - Drive new customer acquisition and upsell revenue through reseller partners and achieve quarterly channel revenue targets - Work with partner sales teams to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) - Support joint sales activities including customer workshops, seminars, proof-of-concepts, and account planning - Track partner-sourced pipeline, forecast channel revenue, and report on partner performance metrics with detailed accuracy - Manage channel conflict and maintain healthy dynamics between direct sales and reseller partners, including clear rules of engagement and deal registration processes Enablement - Lead reseller enablement programs covering product knowledge, sales methodology, positioning, and objection handling - Develop and maintain Japanese-language sales tools, pricing guidance, and partner-facing documentation - Run partner-facing activities such as training sessions, webinars, email campaigns, and joint events - Coordinate with global product, pricing, and partner teams to ensure Japanese reseller requirements and customer feedback are represented in program design and roadmap discussions Go-to-Market - Design and execute joint marketing and demand generation campaigns with reseller partners - Develop customer success stories and case studies that resonate with Japanese enterprise buyers - Partner with internal teams to localize global channel programs and GTM strategies for the Japanese market - Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) - Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, Legal, and Finance - Foster alignment across departments to ensure successful partner execution and performance You may be a good fit if you have - 7+ years of experience in channel management, reseller partnerships, or business development within the Japanese technology market - Proven track record recruiting and managing Japanese reseller and distributor partners and driving revenue through them - Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette - Native or business-level Japanese language skills - Working knowledge of reseller economics, including margin structures, deal registration, and incentive programs - Experience selling enterprise software, cloud services, or AI/ML technologies in the Japanese market - Demonstrated ability to manage channel conflict and maintain healthy rules of engagement across direct and partner sales - Exceptional relationship-building skills with the ability to establish trust and credibility with partner executives and sales teams - Strong analytical skills with experience in business planning, forecasting, and performance measurement Strong candidates may also have - Experience building a reseller program from an early stage rather than inheriting an established one - Familiarity with cloud marketplace resale and private offers (for example, AWS Marketplace or Google Cloud Marketplace) as a channel motion - Working knowledge of large language models and the enterprise AI landscape - Business-level English for regular collaboration with a manager and partner team based outside Japan 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.
Accounting, Revenue Internal Controls
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 seeking a Director, Revenue Controls to be the Accounting owner of the control environment over our order-to-cash cycle. Revenue at Anthropic includes subscription and consumption, self-serve and enterprise motions, 1P and 3P channels, and a metering pipeline that feeds billing and revenue recognition. You will report to the Revenue Controller and partner closely with Accounting, Systems, and Internal Audit stakeholders as we build toward SOX 404 compliance. You will be expected to understand the systems and processes impacting revenue and own/influence the design and implementation of sufficient internal controls, including obtaining relevant SOC reports from service-providers, as well as be the face of the revenue team with external auditors. This is not a greenfield solo build. You will be joining an established Revenue team with functional leads across order management, collections, and revenue accounting, alongside dedicated engineering and systems partners. Your job is to bring senior judgment, sequencing, and control discipline to a group that is already moving fast - leading through a team and across functions rather than doing it all yourself. Key responsibilities - Serve as the accountable first-line control owner for order-to-cash and revenue business process controls, including control design, documentation, execution, and related evidence - Maintain the order-to-cash process narratives, SOPs, and process maps as the institutional standard, and keep them accurate through system and business changes - Partner with functional leads across Billing, AR & Collections, Deal Desk, and Revenue Accounting to keep process definitions current and consistently executed - Design and influence the implementation of controls over usage capture and rating, contract-to-billing accuracy, invoice completeness, cash application, credit and adjustment approvals - Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) within the revenue cycle, including completeness and accuracy validation for reports used in controls and in the close - Partner with Revenue Technology and Internal Audit on IT-dependent and automated controls in the revenue stack - including interface and reconciliation controls, configuration change governance. Embed control requirements into new system implementations and process changes at design time - Partner with third-party service providers to understand their processes, identify relevant risks, and secure commitment for relevant SOC 1 reports - Work with the Internal Audit on scoping, walkthroughs, testing, and deficiency evaluation for revenue processes; own remediation design and drive it to closure - Get involved early with Product, Sales, Partnerships, and Legal on new offerings, pricing constructs, and go-to-market motions to assess order-to-cash and control implications before launch - Diagnose recurring breakdowns, trace them to root cause, and drive fixes to closure with the accountable owner - Train and enable process owners and control performers on control execution, evidence retention, and what audit-ready means - Support external auditors as the process owner for order-to-cash walkthroughs and testing - Serve as the Revenue organization's primary business partner to the Revenue Systems teams - translating accounting and control requirements into system requirements, and system constraints into workable process design - Represent Revenue in the design, configuration, testing, and cutover of revenue and billing systems, including the ERP environment, revenue subledger, metering and billing platforms, CPQ, tax, and payments - Own the internal control go-live readiness criteria for revenue system changes, including data validation and reconciliation between upstream metering, billing, and the general ledger Minimum qualifications - Experience supporting SOX 404 readiness at a pre-IPO company, or operating within a public company reporting environment - Bachelor's degree in accounting, finance, or a related field (or equivalent experience) - Deep, hands-on SOX experience over revenue and order-to-cash processes — you have designed controls, not just described them, and you understand control objectives, IPE, and sufficiency of audit evidence. - Experience as the business-side owner or lead partner on revenue system implementations, migrations, or major configuration changes, including requirements definition, UAT, and reconciliation of data across the revenue stack. - Working knowledge of ASC 606 and the practical mechanics of how contracts, usage, and billing translate into recognized revenue. - Experience in consumption and subscription revenue models, and systems processing large transaction volumes and large datasets - A track record of influencing across stakeholders without direct authority. - Precision communication — you can write a process narrative for an auditor, a steering committee update for leadership, and a root-cause summary for an operating team. - Comfort operating in ambiguity, with the judgment to distinguish what needs to be controlled now from what can wait. Preferred qualifications - 15+ years of progressive experience in internal controls, revenue operations, revenue accounting, and finance transformation. - CPA, CIA, or comparable certification - Big 4 audit, risk advisory, or finance transformation background - Hands-on experience with mainstream ERPs and revenue engines — and with metering, billing, tax, and payments platforms - Familiarity with third-party marketplace billing dynamics (AWS, GCP, Azure) and channel or reseller arrangements - Experience with SOX or GRC tooling - SQL and comfort working directly with revenue data to validate what the systems are telling you - Lean, Six Sigma, or other formal process improvement training - Strong interest in applying AI and automation to revenue operations, control monitoring, and evidence collection 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: $300,000 - $385,000 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.
Tax Director, Provision & Compliance
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Tax team is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company. What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream. Key responsibilities - Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups - Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors - Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality - Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar - Own cash tax forecasting and support tax authority notices, examinations, and audit defense - Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling - Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns) - Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts - Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated - Mentor and develop tax team members and help build the function as the company grows - Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships Minimum qualifications - Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience - Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management - Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers - Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them - Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners - Hold a CPA; a Master's in Taxation or LLM is a plus - Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template Preferred qualifications - Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures - Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing - Pre-IPO readiness or public company reporting experience, and an interest in applying AI tools to tax workflows 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: $230,000 - $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.
Scaled Sales Lead, Beneficial Deployments
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Beneficial Deployments accelerates the work of organizations doing some of the world's most important under-resourced work: nonprofits, education institutions, scientific researchers, and organizations advancing economic mobility. Millions of organizations qualify, but only a small fraction will ever talk to a salesperson. All of them face the same problem: mission-critical work, structurally under-resourced, and very little slack to figure out new technology on their own. That gap is what this role exists to close. You will serve these audiences whether or not a given organization ever generates revenue. Reach comes first, and commercial results follow from it. That ordering is deliberate, and it is the defining feature of the job: a nonprofit, school, or lab that adopts Claude to drive more of its mission is a win on its own terms, and you'll be measured on creating that value at scale. Where an organization does show real depth of adoption, the systems you build route it to the right direct sales team. You are the go-to-market lead for the scaled Beneficial Deployments ecosystem, specifically the full PLG sales experience around it: the offers themselves, the skills and plugins these organizations rely on, the ecosystem partners who extend our reach, and the funnel that carries an organization from first signup to real adoption. You think about these audiences as one ecosystem rather than a list of accounts, and you are the single accountable owner for the longtail's experience, funnel, and results globally. You'll serve it one-to-many: programs, partnerships, and community and lifecycle motions that reach organizations at a scale direct selling can't. You are also half commercial thinker, half builder. Much of this motion will run as automation you design yourself — deployed, verifiable agentic workflows for activation, education, and expansion: specifying them with domain experts and our applied AI teams, building the evals, and running the feedback loop that improves them over time. The closest existing discipline is GTM engineering, specifically its activation half: you build the plays that reach and move organizations, on top of a data foundation the product team owns. What's unusual is the seat — you own the whole ecosystem's strategy, not a queue of requests. You'll work in lockstep with the product manager for this space, who owns the purchase path, the program mechanics, and the systems and instrumentation underneath. You own the longtail across every scaled audience: its strategy, its community, its programs, and its results. This role does not have direct reports today. It may grow into a people-management role over time. What you'll do - Own the PLG strategy end to end for organizations outside direct sales coverage — across nonprofits, education, sciences, and economic mobility — as one ecosystem, one community, and one market. - Own the longtail experience and funnel: from first signup through activation to expansion, for every audience our giveaway and discount motion reaches. - Lead ecosystem programs across partnerships, cohorts, enablement, content, and the skills and plugins ecosystem — programs that create reach and value independent of revenue. - Run the growth motion — activation playbooks that get a new organization to a working deployment, signal digests and expansion nudges, cohort programs, community-led growth. You set the qualification criteria that route the strongest organizations to the direct sales teams. - Spec, prototype, and deploy the agentic workflows this motion runs on, alongside product and engineering. Define the rubrics and evals, and run the learning loop that makes them better. - Own the ecosystem's numbers — reach, activation, and expansion against goals — and use them to decide where the effort goes next. - Be these sectors' field voice inside Anthropic: bring deployment learnings and unmet needs to the product teams that own the roadmap for this space. Minimum qualifications - Eval construction. You have built evaluations for AI systems — defined the rubrics, measured against them, and used the results to improve a deployed workflow. This is hands-on experience, not oversight of someone else doing it. - Sales leadership. You have led a sales or go-to-market business end to end and been the accountable owner for its results. - Product management. You have owned a product or product surface — set the direction, made the tradeoffs, and shipped it with engineering. Preferred qualifications - Product-led or scaled one-to-many go-to-market experience. - Track record building and running GTM automation, with fluency in agentic workflow design. - Experience growing a community or ecosystem — nonprofit, education, developer, partner, or customer. - Hands-on build comfort: tools like Clay, n8n, SQL, and a willingness to prototype yourself rather than wait for a queue. - An impact, education, research, or mission-driven go-to-market background, and genuine interest in these sectors' constraints. - Founder or zero-to-one go-to-market experience. - Community, developer-relations, or partner-program leadership at scale. - A daily working habit with Claude, and agentic workflows you've built for yourself. You might thrive here if - You want your work measured in organizations doing more of their mission, not only in pipeline. - You'd rather ship a rough workflow this week and improve it from real usage than write the strategy deck first. - You're comfortable being the only person accountable for an ecosystem while depending on teams you don't manage. - You find the constraint interesting rather than depressing: many of these organizations have no budget, no IT department, and no time. - You've been the person who built the thing yourself, because waiting for a queue would have killed it. 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: $380,000 - $450,000 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.
Engagement Manager, Public Sector (Midwest)
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts Must haves: - An active TS/SCI clearance - 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Willingness to be onsite with the customer in the Omaha area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government - Prior experience at an API technology company and / or managing technical customers using an API - A technical degree in computer science, engineering, or related field - Proficiency in Python, SQL or other programming languages - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Omaha, NE is: $138,400 - $208,000 USD 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.
Staff+ Software Engineer, Auth & Identity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: - Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. - Authorization – What you can do. The policy framework for model, membership, role, and resource access. - Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. - Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: - Designing credentials for agents and long-running autonomous workloads. - Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. - Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. - Global distribution and multi-region failover for some of the company’s most mission-critical services. - Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: - Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. - Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. - Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. - Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. - Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. - Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. - Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have - Experience with globally distributed databases and multi-region service architecture. - Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. - Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Safety & Security Counsel, EMEA
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 Safety & Security Counsel, EMEA, you will serve as the first-line legal advisor counseling on the full arc of keeping Claude and Anthropic safe and secure: usage policy design and enforcement frameworks, safeguards R&D, misuse detection and response, sensitive escalations, threat intelligence, security incident response, product-related safety and security matters, and the company's safety and security-related regulatory and policy engagement. The issues are increasingly interdisciplinary and novel, and you will frequently be the one ideating and building a legally-relevant framework rather than simply applying one. Depending on interest and experience, you will own and shape an ever-growing portfolio of issue areas across Safeguards and Security. You will also contribute to the team's capacity building efforts, including by leveraging Claude. You will work collaboratively with other legal functions on cross-functional initiatives. This is an excellent opportunity for an experienced attorney who wants to do high-stakes, first-of-its-kind work at the center of responsible AI development and deployment, and to grow as a strategic product counsel and trusted crisis counselor in a fast-moving environment. Key responsibilities - Partner with Safeguards (trust & safety) policy teams on the design and iteration of usage policies across harm areas (e.g., CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation), including how policies translate into detection and enforcement. - Advise on policy enforcement frameworks such as account actions, appeals, enforcement systems and thresholds. - Counsel on sensitive escalations and strategic response, including matters involving governments, law enforcement, regulators, and the press. - Advise on safety and security threat intelligence investigations, bug bounty and red-team programs, and internal and external safety and security testing arrangements. - Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance and privacy related considerations. - Serve as a first-line legal contact for safety and security incidents, providing real-time guidance during incident response and assessing notification and reporting obligations under applicable legal frameworks and contractual commitments. - Build and maintain crisis management playbooks, escalation protocols, and self-serve legal guidance to enable legal resource scaling. - Stay abreast of key policy and regulatory developments in AI safety and security, and policy-specific domains across relevant jurisdictions, and translate them into practical guidance for our evolving product suite. Minimum qualifications - Qualification to practice law in Ireland, or another relevant jurisdiction - Legal drafting and advisory experience producing written guidance, policy language, and risk assessments for business and technical stakeholders - Working knowledge of trust & safety, cybersecurity, privacy, or platform regulation - Experience with fast-moving, high-stakes matters such as investigations, regulatory matters, crisis management, or enforcement work - Technical fluency sufficient to understand system architecture, data flows, and AI model behavior - Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into clear, actionable steps for technical and executive audiences Preferred qualifications - 8+ years of relevant legal experience - In-house (product counsel) experience at a technology company working on security and/or trust & safety issues, or law firm experience advising tech clients on regulatory investigations or enforcement matters - Experience with content moderation, platform safety (including user wellbeing issues), and crisis management - Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intelligence - Familiarity with AI systems, machine learning concepts, or experience advising on novel technology products - Strong judgment about risk assessment and decision-making under uncertainty - A low-ego, hands-on working style and a commitment to doing right by users and the people affected by misuse of AI systems Application Deadline: 6pm PT on Friday September 11, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: €210.000 - €280.000 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.
Safety & Security Counsel
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 Safety & Security Counsel, you will serve as the first-line legal advisor counseling on the full arc of keeping Claude and Anthropic safe and secure: usage policy design and enforcement frameworks, safeguards R&D, misuse detection and response, sensitive escalations, threat intelligence, security incident response, product-related safety and security matters, and the company's safety and security-related regulatory and policy engagement. The issues are increasingly interdisciplinary and novel, and you will frequently be the one ideating and building a legally-relevant framework rather than simply applying one. Depending on interest and experience, you will own and shape an ever-growing portfolio of issue areas across Safeguards and Security. You will also contribute to the team's capacity building efforts, including by leveraging Claude. You will work collaboratively with other legal functions on cross-functional initiatives. This is an excellent opportunity for an experienced attorney who wants to do high-stakes, first-of-its-kind work at the center of responsible AI development and deployment, and to grow as a strategic product counsel and trusted crisis counselor in a fast-moving environment. Key responsibilities - Partner with Safeguards (trust & safety) policy teams on the design and iteration of usage policies across harm areas (e.g., CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation), including how policies translate into detection and enforcement - Advise on policy enforcement frameworks such as account actions, appeals, enforcement systems and thresholds - Counsel on sensitive escalations and strategic response, including matters involving governments, law enforcement, regulators, and the press - Advise on safety and security threat intelligence investigations, bug bounty and red-team programs, and internal and external safety and security testing arrangements - Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance and privacy related considerations - Serve as a first-line legal contact for safety and security incidents, providing real-time guidance during incident response and assessing notification and reporting obligations under applicable legal frameworks and contractual commitments - Build and maintain crisis management playbooks, escalation protocols, and self-serve legal guidance to enable legal resource scaling - Stay abreast of key policy and regulatory developments in AI safety and security, and policy-specific domains across relevant jurisdictions, and translate them into practical guidance for our evolving product suite Minimum qualifications - A JD and active membership in at least one U.S. state bar - Legal experience with fast-moving, high-stakes matters such as investigations, regulatory matters, crisis management, or enforcement work - Working knowledge of trust & safety, cybersecurity, privacy, or platform regulation, with the ability to get up to speed quickly in the areas you know less well - Technical fluency sufficient to understand system architecture, data flows, and AI model behavior, and the curiosity to learn new concepts fast - Legal writing and drafting skills sufficient to produce policy language, escalation protocols, crisis playbooks, and self-serve guidance for non-legal audiences - Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into clear actionable steps for technical and executive audiences - Strong judgment about risk assessment and decision-making under uncertainty Preferred qualifications - Active membership in the California state bar - 4-8+ years of relevant legal experience - In-house (product counsel) experience at a technology company working on security and/or trust & safety issues, or law firm experience advising tech clients on regulatory investigations or enforcement matters - Experience with content moderation, platform safety (including user wellbeing issues), or crisis management - Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intel - Familiarity with AI systems, machine learning concepts, or experience advising on novel technology products - A low-ego, hands-on working style and a commitment to doing right by users and the people affected by misuse of AI systems Application Deadline: 6pm PT on Friday September 11, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 - $335,000 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.
Policy Design Manager, Conventional Weapons
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work. Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role. Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization. You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on. Key responsibilities - Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support - Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve - Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling - Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks - Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences - Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement Minimum qualifications - Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments - Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems - Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences - Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions - Can do rigorous technical analysis of weapons systems using only open sources - Are comfortable with ambiguity and drawn to problems that have no established playbook - Are motivated by preventing misuse without obstructing the legitimate work in the field Preferred qualifications - A working understanding of machine learning and large language model fundamentals - Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software - Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes - Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories - Trust & safety or product policy experience at a technology platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.
Startup Account Executive
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Startup Account Executive to bring safe, frontier AI to India's thriving startup ecosystem from our Bengaluru hub. You will partner with some of India's most innovative startups—from fintech unicorns to emerging SaaS pioneers—helping founders, CTOs, and engineering leaders leverage Claude to transform their businesses. Combining consultative selling with deep technical fluency, you'll own the full sales journey from first outreach through production deployment, while developing market insight into the unique requirements of building in India for both domestic and global markets. Working closely with our global GTM, product, and marketing teams, you'll shape how Anthropic serves the rapidly evolving needs of Indian startups while upholding our commitment to AI safety and reliability. Key responsibilities - Build relationships with key stakeholders across India's startup ecosystem, from seed-stage founders to scale-up leadership teams - Own the complete sales cycle from initial outreach through implementation, navigating technical decision-makers including CTOs, engineering leads, and product heads, and ensuring successful adoption of Claude across diverse use cases - Guide startups from proof-of-concept through paid pilot to production scaling, helping them navigate consumption-based pricing and cost optimisation - Collaborate with ecosystem partners including accelerators, VCs, and developer communities to expand Anthropic's presence in India - Develop market insights specific to Indian startups—including cost optimisation, scale, multilingual and vernacular language needs, and data residency—and advocate for features that serve Indian developers - Gather and document use cases from sectors such as fintech, edtech, healthtech, and agritech to inform the global product roadmap - Develop playbooks tailored to the Indian startup sales cycle, accounting for budget cycles, procurement processes, and the balance of technical and business stakeholders - Contribute to building a world-class sales organisation in India by mentoring and collaborating with team members and establishing processes that scale Minimum qualifications - 8+ years of B2B sales experience in the Indian startup ecosystem, preferably selling developer tools, APIs, or SaaS products - Track record of success in consultative selling to technical audiences, with demonstrated ability to exceed targets - Deep understanding of India's startup landscape, including key players, investors, and market dynamics - Technical fluency to engage credibly with engineering teams on topics such as API integration, LLM fundamentals (context windows, prompt engineering, fine-tuning), common use cases (RAG, semantic search, conversational AI), security and compliance (data privacy, SOC2/ISO), and cost optimisation (caching, batch processing); you don't need to code, but you should confidently translate between business value and technical requirements - Experience with consumption-based pricing models and guiding startups from POC to production - Understanding of Indian startup buying dynamics, including budget cycles, procurement processes, and common data residency and compliance concerns - Strong relationship-building and communication skills, with the ability to navigate from technical teams to C-suite executives - Entrepreneurial mindset with the ability to thrive in ambiguity, build processes from scratch, and collaborate across time zones with global teams - Bachelor's degree in a related field or equivalent experience Preferred qualifications - Existing relationships within India's startup ecosystem, including founders, VCs, and accelerator networks - Experience selling to Indian unicorns or high-growth startups in sectors like fintech, e-commerce, or SaaS - Technical background in engineering or computer science - Understanding of AI/ML applications in Indian contexts, from voice interfaces to computer vision - Track record of building new markets or launching products in India - Active involvement in developer communities, startup events, or tech meetups - Proficiency in one or more Indian languages in addition to English - Commitment to responsible AI development and deployment, especially in diverse, complex markets like India 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.
Research Engineer / Research Scientist, Health
About the Team The Health team, within OpenAI’s broader Personal AGI organization, has a mission to ensure AGI improves health for all humanity. Improving human health will be one of the defining impacts of AGI. Hundreds of millions of people already turn to ChatGPT for questions about their health and millions of clinicians use it weekly to support care delivery. Increasingly capable models create an opportunity to make high-quality medical intelligence more accessible across patients and clinicians—raising the floor of human health—and accelerate the new capabilities and scientific advances that raise the ceiling of human health. Our job is to make those benefits real. We work across the full model stack—pretraining, midtraining, reinforcement learning, post-training, evaluations, harnessing, and deployment—and connect that research to the patients, clinicians, and real-world outcomes we aim to improve. About the Role We’re looking for an exceptional, hands-on researcher who wants to build frontier health capabilities and turn them into impact at scale. This is a role for someone who can take an important, underdefined problem from 0→1: identify the right bet, build what’s needed to test it, and drive it all the way to a measurable improvement in the models and products we actually ship. We’re especially excited about two kinds of people: researchers with the technical depth to move the frontier in pretraining, reinforcement learning (RL) / post-training, or evals; and researchers with real depth in developing frontier biomedical AI capabilities. Prior experience in healthcare is helpful but not required. Research excellence, velocity, ownership, and alignment with the mission are most important to us. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own a high-leverage research direction end to end—from deciding which problem matters and how to measure it, to designing and running experiments, to integrating successful work into frontier models. - Develop scalable methods across pretraining, midtraining, reinforcement learning, and post-training to improve health reasoning, knowledge, reliability, calibration, and behavior. - Build and study RL environments grounded in real health problems; understand which data and training setups produce robust, generalizable improvements rather than just higher benchmark scores. - Create meaningful, trustworthy, and unsaturated evaluations that tell us whether our models are actually getting better at what matters for patients and clinicians. - Advance new 0→1 capabilities in health that may have an increasing impact with upcoming increases in model intelligence and test-time compute. - Develop models and agents that can work over longitudinal, multimodal health data to produce useful predictions, surface new scientific insights, and support better individual- and population-level decisions. - Work closely with researchers, engineers, clinicians, and product teams to bring health capabilities into the models and products used by hundreds of millions of people. - Help establish that AI improves real health outcomes, not just that it can produce impressive answers or demos. You might thrive in this role if you: - Care deeply about using increasingly capable AI to improve human health, and take seriously the responsibility of deploying it safely. - Have an unusually strong track record in machine learning or AI research, with the depth to push at least one important area forward: pretraining, reinforcement learning / post-training, evals (not necessarily specific to health); or substantial depth in a relevant frontier health / biomedical AI problem. - Are a hands-on builder: you can design experiments, write and debug code, work directly with data and training infrastructure, and move quickly from an idea to evidence. - Have strong research taste and can distinguish an important problem or a promising approach from an interesting one. - Own ambiguous problems end to end, and are willing to learn whatever is missing to get the job done. - Stay goal-oriented rather than method-oriented, and don’t shy away from unglamorous work if it is the highest-leverage path to impact. - Care about whether a capability will scale, generalize, and make it into the real world—not just whether it can be shown in a paper or prototype. - Enjoy working with low-ego, ambitious people across research, engineering, medicine, and product. - Bonus: Experience with health AI, longitudinal health data, or clinical research. If you want your work to help make medical intelligence widely accessible—and to work on some of the most important frontier problems at the intersection of AI, science, and human health—we’d love to hear from you. 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.
Partner Director, ANZ
About the Team The GTM Partnerships team is responsible for building a best in class, partner ecosystem in Australia that makes our customers successful, supports the company's mission of reaching AGI, and impacts the revenue growth of the company. About the Role We are hiring a partner director to operationalize, activate, and manage strategic partner relationships in Australia - owning the journey from contract signature to full-scale execution. This role will own all aspects of the partner lifecycle in Australia, from selecting the appropriate potential partners, assessing their alignment with our requirements, onboarding newly signed partners, driving enablement, coordinating joint solution development, and ensuring commercial activation. You will be the connective tissue between OpenAI and the partner’s delivery, technical, and sales organizations to ensure the partnership delivers results. This role will report to the APAC Partnerships Lead in Singapore, and this role will be based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will: - Own the day-to-day relationship with all signed services partners in Australia, acting as the single point of contact across enablement, solutioning, and GTM execution. - Drive and manage onboarding across workstreams including sales training, technical enablement, security and provisioning, and support operations. - Ensure partner readiness to deploy and resell OpenAI solutions, through shared project plans, milestone tracking, and joint QBRs. - Orchestrate co-developed solutions by collaborating with partners to define use cases, create demo assets, and localize technical documentation. - Monitor partner performance , flag risks early, and drive structured remediation or acceleration plans as needed. - Coordinate across OpenAI teams including Sales, Solution Engineering, Enablement, Operations, Customer Success, and Marketing to ensure partner needs are met and internal alignment is maintained. - Establish operational rhythms such as roadmap briefings, asset distribution, and sales enablement refreshes. - Ensure compliance with partnership agreements , including commercial terms, dedicated personnel commitments, and reporting cadences. You might thrive in this role if you have: - 7+ years of experience in alliances, partner success, or sales in enterprise software or systems integration environments. - Deep experience in partner onboarding and activation, ideally with hyperscale cloud or enterprise SaaS vendor, boutique consulting firms, large regional SIs and technology consultants. - Strong program management skills with the ability to track multiple workstreams and hold cross-functional stakeholders accountable. - Familiarity with the Australian enterprise ecosystem and an ability to manage relationships across both local and global partner teams. - Experience working at the early stage at a high growth company, where programs are in their infancy and the partner motion is building. - Ability to thrive in a fast-paced, high-growth, and collaborative environment. - Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy. - Native-level fluency in English. 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.
Account Director, Startups (Mandarin-Speaking)
About the team OpenAI’s mission is to ensure artificial general intelligence (AGI) benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one organization. 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 includes Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to create valuable solutions that help bring AI to as many users as possible. About the role OpenAI is seeking a highly motivated and experienced Account Director to join our Startup Go-To-Market team. You will play a critical role in owning relationships with top startup customers and supporting them in successfully building on the OpenAI platform. Many of the most disruptive and category-defining AI applications are being created by startups. The Startup Go-To-Market team's mission is to help startups harness the power of OpenAI’s technology to drive these advances. You will support startups in building effectively with OpenAI’s APIs, SDKs, and applications while providing access to OpenAI’s technical expertise and networks to help accelerate their progress. This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for serving as the primary relationship owner for a range of strategically important startup customers. You’ll also work cross-functionally with product, research, engineering, support, and technical solutions teams to help customers get the most out of our models. This role will be based in Singapore . We use a hybrid work model of 3 days in the office per week. In this role, you'll: - Manage a portfolio of startup accounts, developing and executing strategies for comprehensive account management. - Partner with AI Deployment Engineers to drive successful technical engagements with startups. - Own consumption and contracted revenue targets while managing revenue forecasts. - Analyze key account metrics to create reports and provide insights to internal and external stakeholders. - Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering teams. - Serve as an advocate for improving the startup experience of building with OpenAI, synthesizing product feedback from insights gathered through our work with startups. - Closely monitor the industry and startup landscapes and contribute to corporate strategy . - Support the recruitment and onboarding of teammates. - Support the development of company culture. We're seeking someone with experience including: - 7–12 years of experience selling platform-as-a-service (PaaS), cloud, or other API products. - Experience working in or around the startup ecosystem, preferably as a startup founder, startup employee, or someone who has worked closely with startup customers. - Supporting the growth and product development of fast-growing, high-performing companies. - Working directly with C-level executives and startup founders. - Communicating technical concepts to customers and internal stakeholders. - Gathering, distilling, and processing complex market intelligence across industries, competitors, customers, and prospects. - Mandarin-speaking skill is a must you will be working with mandarin speaking customer You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customers’ 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 for or deep curiosity about artificial intelligence. You embrace the opportunity to help deploy our technology in ways that benefit humanity. You’re excited to educate customers on AI and help them plan for the future. - Are a builder. You are excited to influence 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 energizes you. You enjoy tackling bespoke issues that require multidimensional thinking and are willing to experiment with new solutions. - Are a strategist. You deeply understand go-to-market best practices and continually raise the bar for our organization. You think and plan years ahead 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.
Technical Deployment Lead
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 Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom AI agent solutions for enterprise customers in regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to navigate architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. On top of that you will help us to build playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. Responsibilities - Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. - Lead discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. - Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. - Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting. - Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You - Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries. - Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset — you're here to create a function, not just join one. 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: £165,000 - £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.
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