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Software Engineer, TPU Compilers
About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises 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. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We’re looking for an engineer to lead the optimization of OpenAI’s state-of-the-art frontier models on TPUs. You will own performance across the full forward pass, from model code through kernels to execution on the hardware. You’ll have broad technical ownership: identifying performance bottlenecks, choosing the most impactful improvements, and carrying them through implementation and validation. We welcome experience gained through either training or inference, with a strong foundation in optimizing real workloads on TPUs. In this role, you will: - Optimize model execution on TPUs, improving performance across the complete forward pass and the interactions between model code, kernels, and hardware. - Profile workloads, identify bottlenecks, and implement improvements to latency, throughput, and hardware utilization. - Develop and optimize kernels, using an understanding of the surrounding model to guide implementation choices. - Explore techniques such as quantization to improve inference efficiency while preserving model quality. - Build benchmarks and tools to measure performance, validate correctness, and guide optimization work. - Partner with researchers and engineers to support new model architectures and bring performance improvements into production. You might thrive in this role if you: - Have practical experience optimizing machine learning workloads on TPUs, through training, inference, or both. - Understand modern model architectures and how their computation maps onto accelerator hardware. - Can connect detailed kernel behavior to the performance of a complete model and work across these layers of the stack. - Bring strong software engineering skills and a systematic approach to profiling, debugging, and validating performance improvements. - Take ownership of open-ended technical problems and can identify priorities, make design decisions, and deliver working solutions. - Enjoys collaborating with researchers and engineers, learning unfamiliar parts of a system, and communicating technical tradeoffs. - Have experience with quantization or attention kernels, which would be especially useful in this role. 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.
Compliance Program Manager — Regulatory Compliance
About the team Governance, Risk, and Compliance (GRC) builds compliance programs and provides assurance for OpenAI’s technology, people, and products. We combine technical understanding with practical operations to reduce risk, support product and research teams, and produce reliable evidence of how our controls work. About the role As a Regulatory Compliance Program Manager, you will build and operate programs that turn regulatory requirements into clear responsibilities, effective processes, and evidence that can withstand external scrutiny. Your work will focus on AI safety/security and content moderation, with privacy operations as an adjacent area. You will partner with Legal and the teams that build and operate our products to scope the work, maintain accurate control narratives, prepare regulatory responses, and lead external assessments for your assigned portfolio. You should be comfortable owning delivery, explaining tradeoffs, and changing your recommendation when the evidence changes. Success means controls have accountable owners, evidence stays current, and teams can respond accurately without repeatedly rebuilding the same work. The initial portfolio and expectations will be agreed with the hiring manager. In this role, you will: - Lead an agreed portfolio of AI safety/security and content-compliance work, including programs associated with the EU AI Act, DSA, OSA, and SB 53, with Legal and relevant experts confirming applicable requirements. - Translate requirements into scoped programs, operating processes, control and evidence responsibilities, milestones, and clear escalation paths. - Build and maintain accurate control narratives and traceable evidence for regulatory requests, reporting, audits, and assessments. - Lead preparation and delivery for external compliance assessments, coordinate the responsible teams, and track gaps through verified resolution or an explicitly owned decision. - Prioritize the work that materially improves compliance outcomes and reduces risk; explain what should proceed, change, or wait and why. - Develop evidence-backed recommendations with Legal, Product, Security, Safety, Integrity, Privacy, and other functional teams. Obtain decisions from the authorized owners for legal interpretation, external representations, and risk acceptance. - Improve operational workflows for content and privacy compliance while keeping implementation and operation of controls with the appropriate functional owners. - Simplify and automate repeated administrative work, test the results, and verify that the improvement is adopted and produces accurate, reliable outputs. - Learn the GRC security-control environment and participate in the team’s on-call rotation, with scope and expectations explained during the hiring process. - Communicate clearly, surface uncertainty early, incorporate feedback, and develop the domain knowledge needed for the next priority. You might thrive in this role if you: - Have practical experience building and operating AI safety/security and content-moderation programs, and can explain your own decisions, contribution, and results. - Have used agentic tooling to automate and improve to scaled processes - Understand relevant technical concepts across model evaluation, training and release, safety controls, content moderation, and post-launch operations, and can explain where specialist input is needed. - Have a strong understanding of relevant AI safety, content, and privacy requirements, including the EU AI Act, DSA, OSA, and SB 53, and experience translating them into operating processes and controls with domain experts and Legal. - Have led regulatory responses and external compliance audits, and can distinguish supported claims from evidence gaps. - Have delivered complex cross-functional programs, scoped practical first increments, and adapted priorities when constraints changed. - Have improved or automated an operational workflow and verified its accuracy, usefulness, and ongoing ownership. - Can maintain precise records, navigate technical/compliance documentation and contract language, follow through on commitments, and judge what to resolve directly or escalate. - Communicate clearly in writing and conversation with technical teams, Legal, leadership, and external stakeholders; explain evidence, uncertainty, recommendations, and tradeoffs. - Work constructively through disagreement, learn from feedback, and take responsibility for outcomes. Privacy program-management experience is a plus. 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.
Developer Advocate
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We’re hiring a Developer Advocate to own the Pinecone community —online and in-person—with a particular focus on building a strong SF/Bay Area presence. This role is for a senior, hands-on technical communicator who can build developer relationships at scale, run high-signal programs, and translate community needs into product feedback and compelling learning experiences. To succeed in this role, you must be able to build and teach with Pinecone’s AI products—showing developers how to create reliable, scalable AI applications where knowledge and retrieval are central. You’ll translate best practices into practical learning experiences through tutorials, short-form videos, docs contributions, hackathon mentorship, and social posts. Because the team and customer base are scaling quickly, you should be comfortable operating with high autonomy and strong judgment in a fast-paced environment. If you’re excited about: - Learning new technologies and helping others succeed with that technology. - Playing a central role in an exciting and rapidly expanding community. - Shaping the course of a fast-growing company and product category. - Working with colleagues who value clarity, creativity, passion, initiative, and thoughtfulness. Then we want to talk to you! Responsibilities: Community Programs (Global) - Lead and grow Pinecone’s Discord : drive engagement, improve onboarding, set norms, and keep the space high-signal. - Run recurring office hours that consistently help developers unblock, learn best practices, and ship. - Support and scale community programs that create real builder outcomes (templates, challenge weeks, help channels, expert AMAs). Events (SF/Bay Area) - Own Pinecone’s SF-area community presence: local meetups, hackathons, and larger Bay Area events . - Develop event programming (themes, speaker selection, talks/workshops), run promotion and attendance growth, and ensure each event produces reusable assets and follow-on engagement. Technical content + assets - Create and maintain hands-on technical assets (sample apps, demos, code walkthroughs) aligned to Pinecone’s core developer use cases: - RAG systems and retrieval quality - Knowledge management patterns using Assistant and other incubating products - Platform/infra patterns for scale and reliability - Publish content across Pinecone channels and external platforms, grounded in what the community is actually trying to build. Requirements: - 2+ years of experience in a technical role such as software engineering, solution engineering, or machine learning. - Proficient in 2+ programming languages. - Owned and grown a technical developer community. - Ran in person developer events end to end. - Shipped demos and sample code and taught them clearly. - Strong writing and live speaking and Q&A. - Fluent in LLM apps and RAG and strong API instincts. Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Customer Success Manager
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 Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business. As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities - Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures Minimum qualifications - Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Fluency in English and Japanese Preferred qualifications - 6+ years of experience in relevant field - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player 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.
Principal Engineer Capacity/Compute
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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 - $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.
Customer Success Manager, Southern Europe
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. À propos du poste Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code. Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous. En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège. Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise. En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires. Responsabilités : - Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion - Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions - Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client - Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels - Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA - Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements - Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail - Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel - Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic - Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales Profil recherché : - Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire) - Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés - Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle - Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés - Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets - Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client - Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients - Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés - Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis - Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe - (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: - 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strong Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player - Fluency in French, Spanish and English 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: €150.000 - €190.000 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.
Corporate Development, Deal 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 Anthropic is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities - Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions - Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities - Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration - Create streamlined processes for rapid evaluation and execution of technical talent acquisitions - Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem - Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies - Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams - Drive post-transaction integration efforts, ensuring successful realization of strategic objectives - Develop financial models and valuation analyses to support investment decisions - Present strategic recommendations to executive leadership and board members - Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications - Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) - Demonstrate exceptional analytical and financial modeling skills - Have experience leading complex M&A transactions or strategic partnerships in technology sectors - Excel at building relationships and can effectively engage with technical and business stakeholders - Are comfortable operating in fast-paced, ambiguous environments with competing priorities - Possess outstanding communication skills, both written and verbal, with ability to influence at all levels - Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications - Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies - Have direct experience in AI/ML companies or deep learning research environments - Bring an established network within the AI startup ecosystem and venture capital community - Have led post-merger integration efforts or built new business units from the ground up - Possess an MBA or advanced technical degree - Have experience negotiating complex strategic partnerships with major technology companies - Demonstrate a track record of identifying and executing transformational opportunities - Show experience with international expansion or cross-border transactions 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.
Manager, Applied AI Cyber Specialists
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 mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do - Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. - Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. - Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. - Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. - Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. - Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. - Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. - Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you - Have 12+ years of industry experience with at least 4 years managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. - Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. - Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. - Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. - Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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.
Frontier Agent Engineering Manager, Enterprise
About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment - Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements - Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) - Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows - Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development - Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation - Architect multi-agent systems that orchestrate between different models, tools, and data sources - Implement evaluation frameworks to measure agent performance and iterate toward business objectives - Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization - Create sophisticated prompt engineering strategies optimized for customer-specific domains and data - Build and maintain prompt libraries, templates, and best practices for customer use cases - Conduct systematic prompt experimentation and A/B testing to improve model outputs - Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate Leadership & Collaboration - Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts - Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration - Work closely with Scale's product and engineering teams to translate customer needs into product improvements - Document technical architectures, integration patterns, and best practices Problem Solving & Innovation - Debug complex technical issues across the entire stack, from data pipelines to model outputs - Rapidly prototype solutions to unblock customers and prove out new use cases - Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems - Identify opportunities for productization based on common customer patterns Required Qualifications - 5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design - Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API) - Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure - Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions - Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Preferred Qualifications Agent Development Wiz - Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures - Experience building and deploying AI agents or autonomous systems in production - Knowledge of vector databases and semantic search systems - Contributions to open-source AI/ML projects Infrastructure Guru - Experience with containerization (Docker, Kubernetes) and CI/CD pipelines - Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools - Previous work in a devops, platform, or infra role - Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA) Customer Product Whisperer - Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role - Domain expertise in verticals like finance, healthcare, government, or manufacturing - Experience with technical enablement or teaching programs Sample Projects The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure. Deep Research for Due Diligence For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Churn Prediction Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. Data Extraction Voice Agent We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. 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.
Research Engineer, Latency & Throughput
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Research Engineer on the Latency & Throughput team, you will push the frontier of LLM inference by researching and prototyping techniques that reduce latency and increase throughput — from speculative decoding and quantization to KV compression and new attention variants. The team sits at the intersection of research and production: you will take ideas from recent literature, form hypotheses, run experiments, and ship the techniques that prove out into our serving stack. This role sits between our inference engineers, who own the production serving stack, and our research scientists, who focus on paper-level contributions. You will be more science-focused than a pure engineer: you are expected to generate new ideas, keep up with the state of the art, and implement proof-of-concepts that bridge the gap between academic results and production impact. Some techniques you explore will be lossy or require integration into training — retraining models, tuning architectures, or training auxiliary models to improve inference. You will work closely with the Inference Foundation and Kernels teams, who turn your validated techniques into production recipes, and with pretraining and RL teams when your work touches model training. Success is measured by demonstrated latency or throughput gains, first at small scale, then adopted in production. What You Will Do - Research and prototype inference techniques — speculative decoding, quantization, KV compression, watermarking, and new model architectures — by reading recent literature and forming testable hypotheses. - Design and run experiments to validate or refute ideas, iterating quickly on small-scale setups before proposing production integration. Demonstrate clear latency or throughput gains without unacceptable quality loss. - Collaborate with the Inference Foundation team to integrate validated techniques into the vLLM-based serving stack. - Partner with pretraining and RL teams when techniques require co-training, retraining, or training auxiliary models to improve inference. Build the right tooling and validation platforms to facilitate AI-driven inference research. What We're Looking For - A strong ML background with solid knowledge of LLM training techniques — architecture, tokenization, fine-tuning, and evaluation. - Hands-on experience with Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. - Research experience of some form: a thesis, publications, a dedicated research project, or efficiency-oriented work in a lab or industry research setting. A PhD is not required, but we are looking for genuine research depth. - A track record of conducting experiments: forming hypotheses, designing controlled comparisons, and drawing clear conclusions from results. - Familiarity with the state of the art in LLM inference — you know what has been tried, what works, and where the open problems are. - Self-starter, low-ego, and collaborative. You are comfortable with ambiguity, negative results, and are eager to take matters into your own hands. - Inference or serving experience is a plus, not a requirement. Prior work with vLLM, production LLM deployments, or serving systems will help you ramp up faster. Location and Remote This role is based in our Paris or London offices (hybrid). We will prioritize candidates who reside in the Paris area or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. For senior profiles, we will also consider remote candidates based in France. In that case, we ask all new hires to visit our Paris office: - For the first week of their onboarding (accommodation and travel covered) - Then at least 3 days per month What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Applied Scientist - Research Engineer (Formal Meth...
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 Applied Scientists and Research Engineers focused on formal methods. You will design, train, and deploy SOTA large language models and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. What You Will Do - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets for theorem proving and software verification, and build evaluators and benchmarks for formal reasoning. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. What We're Looking For - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. Nice to have - PhD / Master in a relevant field (Computer Science, Mathematics, Machine Learning). - Experience with autoformalization, proof automation, or verified code generation. - Experience with reinforcement learning using verifiable rewards, ideally from Lean or other proof assistants. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Software Engineer, Machine Learning
Software Engineer, Machine Learning (Scopely Explore Inc Inc, fka Niantic Inc.; San Francisco, CA): Implement and maintain scalable infrastructure solutions for the deployment of Artificial Intelligence (AI) and Machine Learning (ML) models. Work closely with ML scientists to develop engineering solutions to integrate AI and ML models into products. Develop automation tools and processes to streamline model evaluation and deployment workflows. Optimize infrastructure performance to ensure efficient resource utilization and minimize latency in model inference. Implement and maintain monitoring and alerting systems to ensure the reliability and availability of ML infrastructure components. Troubleshoot and resolve issues related to ML infrastructure, working closely with stakeholders to identify root causes and implement solutions. Regularly participate in meetings with cross-functional teams to understand requirements and design engineering solutions that meet product requirements. Participate in code reviews, design discussions, and architecture planning sessions to maintain high-quality standards in software development practices. Telecommuting within the US permitted pursuant to company policy. Minimum requirements: Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or related quantitative field, plus One (1) year of experience in the Job offered, as a Software Developer, Software Engineer Intern, Applied Research Intern, Teaching Assistant, or a related occupation. Must possess academic training and/or experience in each of the following: Python; Machine Learning;Generative AI; SQL; System programming; Cloud computing. Salary: $165,131 to $180,946 per year APPLY NOW Job Req ID: 00103420 To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position, or email your resume to employment@scopely.com For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $165,131 - $180,946 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Senior Software Engineer, Engine & Tools, Unpublis...
Sydney Australia As a Senior Software Engineer, Engine & Tools on an unpublished R&D product, you will be responsible for designing and implementing AI/ML driven tools and features for one of Riot’s most exciting new games. You will work closely with designers, producers, and other engineers to understand their needs, and will be hands-on in conceptualizing, planning, implementing, and maintaining AI-powered solutions to increase developer efficiency. We’re looking for someone who is passionate about empowering their team to deliver great player experiences, works well in cross-disciplinary teams, is aware of the latest trends, and finds practical applications of AI/ML technologies to current and future game development challenges. Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value. As a Senior Software Engineer, you’ll own and deliver important features and model best practices within the team. You will report to the Senior Engineering Manager of the Tech Foundations team within an Unpublished R&D Product. Internal Job Title: Software Engineer II Responsibilities: - Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements - Engage with engineering leaders to help define the team’s future vision for AI-based developer tooling and workflows - Collaborate with artists, designers, QA, and fellow engineers to scope, design, implement, and test AI/ML-based solutions - Keep up with technical developments in the industry relating to AI/ML and find practical applications that help address developer and player facing problems - Model the team’s best practices for tools architecture and implementation - Support and advance the team’s adoption of AI/ML tools for game development through mentorship, documentation, and advocacy - Provide documentation and trainings on new tools and workflows to internal customers - Mentor more junior engineers as the team scales Required Qualifications: - 5+ years (or equivalent depth) of professional experience in software engineering, including experience delivering live or shipped products at scale - 2+ years (or equivalent depth) working on game development tools - Experience in Unreal Engine - Experience working with AI/ML systems in a production-ready environment - B.S. in computer science or equivalent experience - Proven ability to navigate moderately ambiguous problems with cross-disciplinary stakeholders - Strong communication skills across technical and non-technical audiences - Proficiency in C++ Desired Qualifications: - Applied knowledge in one or more of the following: reinforcement learning, imitation learning, decision-making under uncertainty, LLM, AI planning, or multi-agent systems - Experience working with modern ML/data science libraries and frameworks such as PyTorch/TensorFlow, pandas, etc. - Working knowledge of tooling solutions utilized in AAA games around the industry - Experience developing AI- or ML-driven content tools - Experience developing tools that integrate with both client and backend systems - Experience developing tools that integrate with art pipelines (e.g. Maya, Blender, etc.) - History of contributing to engineering culture and best practices - Experience working on distributed teams For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks At Riot we strongly believe in work/life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have a LAN gaming room, the latest consoles, a play fund so you can broaden and deepen your knowledge of our players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: - Medical, Dental and Vision Stipend - Wellbeing Reimbursement - We will double down on your donations of time and money to non-profits - Employee Assistance Program - Learning and Development opportunities Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming .
Commercial Counsel, Sales
About Stripe Stripe is a technology company that builds financial infrastructure for the internet. Millions of businesses, from startups to global enterprises, use Stripe to accept payments, grow their revenue, and expand into new markets. Our mission is to increase the GDP of the internet. Our products support a broad range of business needs, from payments and software services to emerging areas such as stablecoins and agentic commerce. About the role We’re looking for an experienced transactional lawyer to join our Commercial Legal team supporting Stripe’s business in the Americas. You’ll lead complex commercial negotiations, advise on new products and international expansion, and help build the legal processes and tools that support Stripe’s growth. You’ll work closely with Sales, Product Legal, and teams across Stripe to solve challenging problems and provide practical advice. You’ll also help improve how the Commercial Legal team works, including through the use of AI tools. What you’ll do - Support the Americas Sales team and lead negotiations for complex and strategic commercial agreements. - Advise on commercial and legal issues related to new product launches and international expansion. - Partner with Product Legal to bring new products and features to market. - Draft and maintain agreements and playbooks, improve internal processes, and use AI tools to help the team work more effectively with colleagues, partners, and users. - Collaborate with teams globally, including Sales, Operations, Product, Tax, and Risk. - Help the global Commercial Legal team deliver consistent, efficient support as Stripe grows. - Develop and deliver training and resources that help the Sales team understand and sell Stripe’s products. - Serve as a point of escalation for outside counsel. Who you are We’re looking for someone who meets the minimum requirements below. If you do, we encourage you to apply. Preferred qualifications are a bonus, not a requirement. Minimum requirements - A Juris Doctor (JD) degree or foreign equivalent, and membership in good standing in at least one U.S. state bar. - At least 8 years of relevant legal experience, either in-house or in the technology practice of a leading law firm. - Familiarity with the legal issues and commercial risks associated with hosted data and technology services. - Intellectual curiosity and creative problem-solving skills, with an interest in learning complex, evolving products and finding practical solutions. - A proactive approach and a strong sense of ownership. - Clear, concise written and verbal communication skills, including the ability to explain complex issues and key risks in plain language. - The ability to guide cross-functional teams toward solutions that address business needs and legal risks. - A collaborative approach and a willingness to contribute to the team’s shared success. Preferred qualifications - Experience in payments or financial technology, including familiarity with related regulatory issues. - In-house experience advising high-growth companies. - Working knowledge of large language model (LLM) tools. - Experience using AI technology to improve legal processes. - Working knowledge of data protection laws such as the California Consumer Privacy Act (CCPA), the General Data Protection Regulation (GDPR), and the Health Insurance Portability and Accountability Act (HIPAA).
Manager, Software Engineering - AI Infrastructure
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform. We’re looking for a hands-on engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build best-in-class AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products. - Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution. - Hire, coach, and develop senior and staff engineers to scale the team. - Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency. - Build an inclusive team and culture through thoughtful team-building and hiring practices. We’d love to hear from you if you have: - 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space. - 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor. - Experience working on production AI systems. - A proven track record of motivating, mentoring, and growing experienced AI engineering leads. - Demonstrated experience learning new AI technologies quickly building technical depth in a new domain. - Experience building and scaling engineering teams and org structure as they grow. While it’s not required, it’s an added plus if you also have: - Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms. - Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems). - A background in adjacent platform domains, like recommendation systems or networking. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 - $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: - Candidates may submit up to 5 applications during any rolling 30-day period. - Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
Engineering Manager, Agentic Commerce
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 Locations: London or Austin About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We are building tools that help make the new internet payable by giving our users the ability to take control over how AI agents pay for resources across the Internet. Building these capabilities requires solving problems across high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols. We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We’re looking for someone excited to deliver products so domain owners can control this experience, while identifying the problems Cloudflare is uniquely positioned to solve next. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the role We are looking for an Engineering Manager to build and lead the engineering team across Agentic Commerce. You will be responsible for the people, execution, and engineering quality behind products that power machine-to-machine payments and monetization, such as our Monetization Gateway . You will partner closely with Product Management and engineering teams across Cloudflare to deliver current priorities and shape future opportunities. This is a management role for someone who is deeply technically credible. You will not be expected to write most of the code, but you should be able to understand the systems your engineers operate, challenge architectural decisions around payment rails and cryptographic auth, ask the right questions when something is going wrong, and step into a technical problem when the situation calls for it. At the same time, we are looking for a manager, not a tech lead with direct reports. Your success will be measured by the quality and output of the team you build, the engineers you develop, and the systems and products they deliver. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do - Manage, coach, and grow engineers working across high-throughput payment pipelines, agent authentication, and web-scale commerce architecture. - Own execution by establishing clear priorities, creating predictable delivery, and giving engineers the context and autonomy to own meaningful areas of the product. - Lead the development of agentic payment systems leveraging emerging open standards (x402, Web Bot Auth, ACP, UCP) to enable low-latency, machine-to-machine micropayments. - Lead the engineering behind usage metering, pricing definition engines, outcome verification, and revenue attribution models tailored for agentic workflows. - Build capabilities that give businesses granular visibility and control over their agent-generated revenue streams. - Partner closely with Product Management to understand customer problems, shape the roadmap, and turn broad opportunities into clear engineering outcomes. - Bridge mainstream and decentralized tech, interfacing with blockchain teams while keeping execution focused on mainstream, high-throughput web and fiat commerce rails. - Balance near-term product delivery with thoughtful technical investments that allow promising ideas to grow. - Own the operational health of the systems in your area, including observability, incident response, cryptographic security, and long-term reliability. - Develop technical leaders and create space for engineers to lead architecture and implementation. Responsibilities We want you to love it here. This role is a great fit for you if: - You have led and developed a high-performing engineering team(s) and can point to what that team shipped and how the people on it grew. - You are technically credible with experienced engineers. You can review a design, understand the trade-offs in distributed systems or payment platforms, and recognize when a technical problem needs deeper investigation. - You are comfortable managing a team working across several related technical areas (like digital wallets, payment protocols, and web authorization) and can create clarity without requiring every problem to fit neatly into a single box. - You care deeply about reliability and quality, particularly when the output of a system handles monetary transactions or machine authorization. - You have strong product judgment and enjoy working with Product Management to decide what is worth building, what needs improvement and what should not be built at all. - You are comfortable with ambiguity and with finding structure in areas where the opportunity is clearer than the roadmap. - You communicate clearly, give direct feedback, and can explain complex technical decisions to both engineers and non-engineers. Examples of Desirable Skills, Knowledge, and Experience - Strong technical grounding in distributed systems, low-latency transaction processing, API design, web security, or adjacent areas. - Experience building or operating products involving traditional payment rails, digital wallets, or open authorization/authentication standards (e.g., OAuth, WebAuthn, Web Bot Auth). - Experience operating systems where correctness, reliability, and security matter as much as feature delivery. - A track record of hiring, developing, and retaining strong engineers. - Experience partnering closely with Product Management to shape and execute a roadmap. - Experience taking products or major capabilities from an ambiguous opportunity to a clear customer outcome. - Strong written and verbal communication. Bonus Points - Familiarity with emerging agentic/machine-to-machine payment protocols (x402, AP2, ACP, UCP). - Experience building hybrid fiat/crypto payment infrastructure. - Familiarity with Cloudflare’s developer platform (Workers, Durable Objects, KV) or edge computing architectures. - Experience turning complex underlying systems into useful payment or commerce products for a broad audience. - Experience with usage-based billing, metering engines, attribution systems, or complex commercial pricing models. - Previous experience working in payments and on payments technology Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.
Senior Tools Programmer, UI & AI Workflows
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. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a senior Tools Programmer to help build the next generation of UI tooling for users and AI-powered agentic workflows (tools that let AI agents assist with and automate UI creation, iteration, and debugging). You'll shape the systems and frameworks that millions of creators rely on, from WYSIWYG editors to the APIs and runtime UI capabilities used to ship games and tools. In this role, you will - Design, build, and integrate AI-powered tools and frameworks for UI authoring, iteration, and debugging - Own and evolve the UI tech codebase used to build tools and in-game UI in Unreal Engine - Set technical direction for UI tooling and mentor other programmers - Collaborate across disciplines to identify improvement areas, gather feedback, and design solutions for developer needs - Profile and resolve performance and memory issues in UI systems - Work with Epic's internal teams and Unreal Engine licensees to help them solve UI challenges What we're looking for - Strong tools-programming background with experience building tools that improve development workflows in games or other fields - Deep expertise in the UI domain (UI frameworks, runtime UI engines, and editor/WYSIWYG tooling) - Excellent C++ skills and experience working in a large codebase - Some hands-on exposure to AI-powered or agentic workflows, whether through work, courses, or personal projects - Strong written and verbal communication skills in English - Experience with Unreal Engine is a plus - Experience with Slate and/or UMG is a plus - Shipped title experience in games or real-time applications is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range $182,815 - $268,128 CAD 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 .
Global Treasury Manager, Investments & Risk
About the Role This is a foundational treasury role within the Finance team. As we continue with rapid growth, you will own the day-to-day mechanics of cash, optimal capital allocation, banking, and liquidity at a company that commits significant capital to compute and infrastructure. The role sits between Accounting and Strategic Finance with direct exposure to the VP of Strategic Finance. You should want to build the function, not inherit one. Responsibilities Cash and Liquidity Management - Own daily cash positioning across operating accounts and entities across various banking and treasury partners, and maintain the rolling cash forecasts - Own bank account administration across all entities and banking partners, including account openings and closures, signer updates, KYC requests, and portal access reviews. - Oversee payment controls, including approval workflows, segregation of duties, and review of high-value or unusual wires. - Manage the company’s investment portfolio, including money market funds, bank deposits, and separately managed accounts, in line with the investment policy, and oversee the external managers who run it. - Design and build an in-house investment and hedging program, including direct fixed income, compute price hedging, and yield rates - Develop management reporting covering portfolio performance, market conditions, and policy compliance for leadership and board - Monitor FX exposure from international entities and vendors, and support hedging analysis and execution. - Automate repeatable treasury work such as cash positioning, bank reconciliations, and reporting using AI and workflow tools, while keeping people accountable for every approval and movement of money. - Prepare FBAR filings, manage letters of credit and bank guarantees, and support audit requests related to cash and investments. Qualifications - 4-7 years in corporate treasury, cash management, banking, audit, or strategic finance; high-growth technology or startup experience preferred - Experience with developing and managing an in-house investment program and market hedging - Working knowledge of cash forecasting, bank operations, payment rails, and short-duration fixed income. - Strong controls mindset and attention to detail: this role touches money movement, and accuracy is non-negotiable. - Clear written communication, sound escalation judgment, and comfort building process from scratch. - Nice to have: FX hedging, treasury management systems, debt or credit facilities, IPO and SOX readiness, or CTP, CFA, or CPA progress.
International mobility expert
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As International Mobility Lead, you will own and develop our international mobility approach, supporting employees and the business on cross-border moves and assignments. You will act as the key point of contact for mobility topics, balancing employee experience, business needs and compliance requirements. What You Will Do - Lead and coordinate international transfers and mobility cases end-to-end. - Advise HR teams, managers and employees on mobility options and requirements. - Manage and continuously improve mobility policies and processes. - Coordinate immigration, tax, social security and payroll topics with internal teams and external providers. - Ensure a smooth and consistent employee experience throughout the mobility journey. - Manage mobility partners and vendors, ensuring quality and cost-effective delivery. - Monitor mobility activity and provide relevant reporting and insights. What We're Looking For - Strong experience in International / Global Mobility within an international HR environment. - Good knowledge of mobility topics, including immigration, tax, social security and cross-border employment, benefits. - Strong stakeholder management skills and the ability to partner effectively with HR teams, managers and employees. - A pragmatic and solution-oriented mindset, with the ability to navigate complex situations. - Strong organizational skills and the ability to manage multiple mobility cases and priorities. - A low-ego, team-first mindset What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Solutions Strategy & Operations Manager
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. We’re hiring a Solutions Strategy & Operations Manager to help build the operating system for our Customer Success and Solutions teams. This role is critical to building our business with rigor and pace, helping us scale customer value fast. You’ll begin as a generalist supporting our Solutions Architect, Field Engineering and Forward Deployed Engineering functions, with the path to own a specific business unit end-to-end as we grow and scale. These teams are technical and experienced, and we’re looking for a strong strategy & ops partner who can collaborate and help us scale their impact. Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role There are early foundations in place, but much of the long-term system still needs to be built — from maturing key metrics that matter, the cadences that drive decisions, the playbooks that scale. This is a rare chance to build that system from the ground up and shape how a fast-growing, high-stakes function runs for years to come. This person will be a strategic thought partner and hands-on operator who is equally comfortable thinking big-picture with senior leadership and getting into the weeds to build the systems, models, and processes that let the org run on real data. They'll work cross-functionally with RevOps, GTM, and Finance to bring ideas to life quickly and iterate as the business evolves. What you’ll do - Establish key metrics and compensation models - Evaluate performance of the business, drivers and trends, and guide targeted action plans - Build, refine and optimize headcount and capacity models to ensure we make the right investments - Build, refine and optimize segmentation and coverage modeling to ensure we deliver the right service model that ultimately leads to revenue growth - Build and operationalize frameworks such as health signals, customer maturity models and corresponding playbooks that drive usage and growth - Build and operationalize dashboards that surface the right KPIs and insights at the right time to drive action across all levels of the organization - Build and operationalize an end-to-end operating cadence for the leadership team to support fast, informed decision-making - Serve as a trusted advisor to the leadership team; You can think big picture and also lean in to figure out how to get things done iteratively - Partner closely with cross-functional stakeholders in RevOps, Go to Market, Finance and more to bring concepts to life rapidly, and iterate and evolve together - Incorporate a global mindset into your work, taking into account local nuances and input and ensuring global plans stick regionally You may be a fit if - Experience in Sales or Customer Strategy and Operations - Experience with pre-sales (e.g. sales engineering), direct sales and technical services teams - Builder mindset - you are comfortable building from the ground-up and are adept at flexing between launch and iterate vs. going deep - Strong analytical and modeling skillset - Strong operations mindset - you have an eye for critical foundations such as capacity modeling, staffing, planning and process - Excellent stakeholder management skills, comfortable operating across levels and audiences to get things done - Strong project management skills, you can clearly outline what needs to happen and know how to keep your team informed and engaged It’s a plus if you have… - Consulting, finance and/or data science background - Customer-facing experience - Experience in Business Operations, Sales or Services strategy & ops - Experience with company strategy such as localization, pricing, etc. - Experience with consumption based pricing - Experience with customer frameworks such as health scores and maturity models — but with an open-mindedness to evolve them to meet our business needs
Integrated Campaigns Manager, AMER
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SpaceXSI is hiring an Integrated Campaigns Manager focused on building demand generation and account-based marketing (ABM) programs to help us win and expand our most strategic accounts. You'll help run the campaigns that create demand for our products among enterprise buyers building programs for priority accounts, crafting stories that land with our target audiences, and executing the webinars, offers, nurture, and campaign deliverables that turn engagement into pipeline. This is an execution-heavy role with plenty of room to grow. You'll write the copy and execute the programs that carry each campaign, and bring a data-driven mindset to drive continuous optimization. It's a high-agency position for someone who loves to ship, wants to learn fast, and wants a direct line to revenue. What you'll do - Build and run programs for priority accounts and segments. - Design and run ABM programs for clusters of strategic accounts grouped by vertical, tech stack, use case, or buying-group pattern, with messaging, content, and offers tailored to each cluster, in partnership with sales, SDRs, and field marketing. - Scale what works into 1:many programmatic plays across a broader target list of prospects and customers, using intent, enrichment, and ad targeting to reach the right buying groups without hand-building every touch. - Map buying centers inside each account (VP Eng, CTO, platform and developer experience leads, security and procurement) and build multithreaded plays that reach each of them. - Turn account intelligence, intent, and usage signals into tailored campaign treatments, from personalized outreach and executive programs to events, direct mail, and sales plays. - Tell stories that land with technical buyers. - Shape the narrative, messaging, and offers for each campaign, and write the copy that carries it: briefs, emails, landing pages, ads, and account-specific content. - Develop engaging concepts and formats for virtual events (webinars, workshops, and exec roundtables), owning all aspects of production from idea to follow-up: select relevant topics, line up speakers from internal leaders and our customers, and make sure everyone is prepared. - Brief design and creative partners clearly and keep the story consistent across every channel and touchpoint. - Conceptualize and deploy creative demand gen offers - Come up with offers that give target accounts a reason to engage, like meeting makers, direct mail, digital engagement programs, and gifting. - Work with sales and SDRs on who gets each offer and how they follow up, and manage vendors on fulfillment, shipping, and budget. - Track every offer from send to meeting to pipeline so we know what to repeat. - Build thoughtful email campaigns and nurture programs - Develop and improve nurture sequences for prospects and customers, segmented by persona, account tier, and where they are in the journey. - Write and edit email copy, analyze performance, and come up with new ideas for content angles and CTAs that improve engagement. - Partner with our lifecycle and email owners to keep lists clean, segments accurate, and every send on brand. - Execute the deliverables that bring campaigns to life. - Turn campaign plans into finished work: write briefs for design, and build landing pages, emails, ads, and sales one-pagers. - Own launch checklists and timelines, coordinate with design, web, ops, and sales, and ship on time. - Report on how each campaign performed, share what you learned with the team and sales, and suggest what to try next. You may be a fit if - You're both left-brained and right-brained: as comfortable debating pipeline math as you are coming up with a creative campaign idea. - You write well. You can tell a compelling story, write copy that makes a busy engineering leader keep reading, and you have strong instincts for what good looks like. - You've supported ABM or integrated campaigns and understand the basics of account selection, buying groups, and multithreading in enterprise deals. - You're organized and detail-oriented, and you can juggle many deliverables and deadlines without dropping any. - You like working closely with sales, and you know how to earn trust with sellers. - You want ownership and high agency, and you'd rather ship and learn than wait for perfect information. - You can take a loose plan, bring structure to it, and get it shipped. - You're curious about AI and developer tools, and you use AI in your own workflow every day. Experience that helps - 3 to 5 years in B2B marketing, demand generation, or marketing operations, with hands-on time supporting ABM or integrated campaigns for enterprise or technical audiences. - Hands-on experience running webinars, direct mail or meeting-maker programs, and email nurture. - Familiarity with tools like Salesforce, a marketing automation platform, webinar platforms, direct mail or gifting platforms, and Clay or ABM and intent platforms. Bonus if you've used AI coding tools to query data yourself. - Experience with verticalized or persona-specific go-to-market motions. - A track record of campaigns you can point to with real results, and the writing samples to back it up.
Strategic Partnerships, GSI, APAC
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 Owns Mistral’s strategic relationship with EY across APAC. Manages the EY relationship and joint go-to-market end to end, delivering revenue and industry impact. Orchestrates multi-country pursuits spanning ASEAN (Malaysia, Thailand, Vietnam, Indonesia and the Philippines), Australia, India, Japan and Korea, owning the seating model, deal economics and partner governance through MD sign-off. Owns partner-leadership access at the change-maker level: AI practice leads, industry MDs and CTOs at regional and global level, including EY Consulting leadership. Architects and operationalises the APAC GSI Partner Playbook: the frameworks, co-sell motions, solution accelerators and delivery-readiness programmes needed to scale frontier AI regionally, including the sovereign AI narrative that differentiates Mistral in regulated markets. Location: Based in Singapore, with travel to ASEAN and APAC countries. What success looks like First 12 months - Executive relationships built across EY Consulting at AI practice lead, industry MD and CTO level, including EY’s Singapore hub and its practices across ASEAN and APAC countries. - A joint EY–Mistral GTM plan live: shared ICPs, vertical use cases, field plays and demand generation, with named account coverage across ASEAN and APAC countries. - One to two named, in-flight APAC deals of flagship scope and complexity, converted from or created through global agreements. - Partner-led and partner-attached pipeline delivered against the team target across sovereign AI, AI Studio and enterprise deployments. - Two to three multi-year GTM agreements or MOUs signed, covering revenue targets, co-sell motions, enablement and commercial frameworks. Key outcomes - Partner-influenced revenue from EY contributes a fifth or more of APAC annual bookings. - Mistral embedded in partner platforms, marketplaces, sovereign-cloud offerings and regional AI Lab programmes. - Certified EY delivery pods operational, with a stable base of partners delivering repeatable demand. Key responsibilities - Own the EY relationship and joint GTM across APAC: executive sponsorship, joint account planning, pursuit support and governance. - Own APAC GSI partner strategy, with EY as the anchor integrator. - Drive EY engagement across ASEAN and APAC countries from Singapore. - Convert or create global agreements and MPAs into named APAC deals; orchestrate multi-country pursuits across ASEAN and APAC countries. - Architect joint GTM: messaging, ICP alignment, vertical use-case strategy, field plays and demand generation. - Guide EY in building profitable Mistral service lines and certified delivery pods. - Lead deal orchestration: partner qualification, commercial alignment, seating model, deal economics and delivery planning. - Own partner scorecards, QBRs, pipeline reviews and performance analytics; ensure MPA, reseller/OEM and AI Lab frameworks are fit for multi-country use. Must have - 8–12+ years driving partner-led revenue with GSIs, hyperscalers, telcos or OEMs across APAC. - Has worked at EY, or has directly managed the EY relationship (alliance, partnership or account leadership), with first-hand knowledge of how EY Consulting operates, including its service lines, practice and industry structure, alliance model, decision-making, and how deals are sold, staffed and governed. - Demonstrated ability to manage a strategic GSI relationship and its joint GTM, operating at AI practice lead, industry MD and CTO level and converting or creating global agreements into named APAC deals. - Track record engaging C-suite and securing multi-year commercial frameworks. - Experience structuring multi-country pursuits, seating models and partner governance requiring MD-level sign-off, including across ASEAN and APAC countries. - Commercial acumen in AI/cloud: able to translate AI Studio, sovereign AI and GPUaaS into clear revenue models. Nice to have - Familiarity with model deployment, GPU infrastructure or AI Lab concepts. - Existing relationships within EY AI/Cloud practices. - Prior use of hyperscaler funding (ECIF, MACC, OCP), MDF or co-sell pipelines. - Exposure to sovereign AI or public-sector transformation in regulated APAC markets, including ASEAN. Ideal backgrounds Current or former EY Consulting leaders (alliance directors, AI/data practice leads, industry or sector leads), and leaders who have directly managed the EY relationship from a vendor, hyperscaler or technology partner side (e.g. senior partner sales managers at AWS, Microsoft or Google Cloud; partner account managers at Nvidia, Dell or HPE); regional or global alliance directors at Deloitte; GTM and strategic partnership leads at fast-growing AI, data or infrastructure vendors. Languages: English required. Mandarin, Japanese or Korean a bonus for multi-country engagement. Bahasa (Indonesia/Malaysia), Thai, Vietnamese or Filipino a plus for ASEAN engagement. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Delivery Operations Analyst
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Summary We seek a highly organized, automation-minded Delivery Operations Analyst to connect GTM and Delivery Engineering teams under a unified operational system. Core duties include owning operational processes, data quality, and automation that move customer opportunities from GTM brief through commercial approval to delivery assignment. Maintain accurate data across Salesforce and Mission Control to support delivery execution. A core expectation is to identify, design, implement, and continuously improve automation across the GTM-to-Delivery workflow(affectionately called Deal Desk, using workflow automation, North, and other appropriate tools. You will own automation outcomes end-to-end, from identifying manual inefficiencies through implementation, testing, monitoring, and iteration. The ideal candidate combines operational rigor with a systems mindset, proactively looking for ways to eliminate repetitive work, improve data quality, reduce coordination overhead, and build scalable processes. Key Responsibilities - Oversee the operational process for new customer briefs submitted by GTM to Deal Desk; ensure required information and proper routing for approval. - Coordinate the transition from commercial approval to the Engineering Program Manager for delivery team assignment. - Track opportunities through pre-delivery stages, identifying actions, blockers, and missing information. - Ensure clear, timely handoffs between GTM, Deal Desk, and EPM. - Maintain accurate, timely data from the Deal Desk process; keep Salesforce and Mission Control updated with customer, opportunity, commercial, and delivery details. - Establish standards for data entry, documentation, and operational hygiene. - Develop and maintain reporting on Deal Desk volume, pipeline progression, approvals, delivery assignments, and operational metrics. - Identify process trends, bottlenecks, and gaps; recommend efficiency improvements. - Develop and maintain process documentation, workflows, and operational playbooks. - Help establish clear ownership, SLAs, and operating standards across the workflow. - Identify opportunities to streamline, standardize, and automate manual processes across the GTM-to-Delivery workflow. Qualifications - 2–4 years of experience in business analysis, operations, revenue operations, sales operations, project coordination, or similar roles. - Experience working with CRM and business operations systems. - Strong analytical and organizational skills with exceptional attention to detail. - Comfortable working across multiple teams and managing processes with numerous stakeholders. - Strong skills in building automations and working with multiple AI tools - Ability to identify inconsistencies, investigate root causes, and drive issues to resolution. - Strong written and verbal communication skills. - Process oriented but being able to convert nebulous ideas into discreet actionable steps and systematizing work - Experience with data reporting, dashboards, or business intelligence tools is an asset. Working Location: This role can be based remotely from the Greater Toronto area, Montreal or Ottawa - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Lifecycle Growth Manager
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role Lifecycle Growth's job is to get more people using Grok, Grok Bot, X, Cursor and the API every day, and to turn that use into revenue. We own everything after signup: getting people to value, converting them to paid, growing their teams and keeping them coming back. We do it with lifecycle marketing, in-product messaging and a steady stream of experiments, and much of the work runs on agents we build ourselves. This isn't a traditional marketing role. You'll do the work of a product manager, a product marketer and a marketing engineer, often in the same day. You'll own lifecycle growth for one or more of our products. You'll figure out where the biggest opportunity is, design the program, build it and show whether it actually moved the number. The job spans consumer and business, self-serve and sales-led, so you'll need to think as clearly about a solo user's first week as about a team's path to an enterprise deal. You'll go deep on the systems underneath, like who's eligible, what triggers a message, how events and attributes are modeled, and how data moves from the warehouse into our messaging tools. When the best fix lives in the product or the data, you'll make the case and either build it yourself or work with engineering to ship it. This is an in-person role based in our San Francisco office. What you’ll do - Strategy and roadmap: Own lifecycle end to end across our suite of products: Grok, Grok Bot, X, Cursor and the API, from activation and conversion to paid through team expansion, retention and winback. - Data and audiences: Use SQL and product data to size opportunities, build the audiences and triggers behind each program, and prove what actually drove revenue. - Journeys: Architect multi-step, cross-channel programs across email, push and in-app, with event-based triggers, branching and suppression logic, and personalization drawn from product usage, plan and billing state, and company and role enrichment. - Systems: Drive and continuously improve the data model lifecycle runs on, including identity, events, attributes and eligibility, and partner with engineering on the warehouse syncs, APIs and webhooks that keep it accurate in real time. - Measurement: Run every program as an experiment with a proper holdout, measure incremental lift, and make judgment calls when a result is inconclusive. - Portfolio: Manage lifecycle as a portfolio of programs, putting more behind what works and retiring what doesn't. - In-product: Own in-product messaging and experiments, from onboarding and upgrade prompts to post-purchase plan tours, and partner with product and engineering to improve our in-app comms systems. - Tooling: Use code and agents to build the internal tools, templates and automated QA the team runs on, so each new program ships faster than the last. You may be a fit if - 8+ years in Lifecycle, Growth PMM or Product Growth at a high-growth product company. - The range to think fluently about lifecycle for consumers and businesses, self-serve and sales-led, and to know how each one changes the right move. - Real technical depth. You write SQL, you know how events, identity and attributes fit together, and you're comfortable with APIs, webhooks and warehouse syncs. Coding is a plus. - Hands-on experience running complex programs in a major lifecycle platform, such as Braze, Customer.io or Iterable. - A history of building lifecycle systems with engineering, not just running campaigns on top of them. - Programs you can point to that moved revenue, paid users or retention, with holdouts to back it up. - Good experimentation judgment, focused on incrementality, cohort quality and lifetime value rather than opens and clicks. - Experience shipping in-product messaging or experiments alongside product and engineering. - The ability to set direction, bring product, engineering, data and design with you, and explain your thinking clearly to leadership. - A habit of using AI agents and code to get more done than a team your size should. This role requires being in-office in San Francisco.
Software Engineer, Backend — Dots
About the Role Dots is looking for a Backend Engineer to build the systems that power our product. You’ll work closely with product, design, and engineering to turn ideas into reliable services and deliver features from design through production. In this role, you will: - Design, build, and maintain backend services and APIs. - Develop data models and improve database performance. - Build integrations with third-party services. - Improve system reliability, security, and observability. - Write tested, maintainable code and participate in code reviews. - Investigate production issues and address their root causes. - Help shape technical decisions as the product grows. You might thrive in this role if you have: - Experience building and operating backend applications in production. - Strong proficiency in a backend programming language. - Solid understanding of API design, relational databases, and data modeling. - Experience with cloud infrastructure, automated testing, and deployment workflows. - Ability to balance speed with quality and make practical technical decisions. - Clear communication and a collaborative approach to solving problems. Nice to have: - Experience with distributed systems, background jobs, and event-driven architectures. - Familiarity with caching, queues, and performance optimization. - Experience working on a small team or an early-stage product. 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.
Events Manager, Brand & Communications
About the Role This Events Manager will support the planning and execution of high-touch creator, press, and executive-facing events at OpenAI. Working under the guidance of the Event Management Lead, this person will own critical workstreams across guest experience, front-of-house operations, vendor coordination, production logistics, and post-event reporting. The ideal candidate is highly detail-oriented, polished under pressure, and experienced in building white glove experiences for high-profile guests, including creators, media, executives, talent teams, and senior external partners. They should bring excellent judgment, a strong hospitality mindset, and a keen eye for the small details that make an event feel seamless, elevated, and deeply considered. In this role, you will: - Manage and execute high-touch creator, press, and executive-facing events from end to end, including workstreams, agency management, registration, guest experience, catering, production logistics, and onsite execution. - Develop and maintain comprehensive project timelines, tracking all milestones, deliverables, and deadlines to ensure seamless event execution. - Source, negotiate, and coordinate with vendors, including caterers, AV providers, and creative production teams, ensuring adherence to OpenAI’s standards and compliance requirements. - Oversee attendee registration, check-in processes, and manage event communications, including pre- and post-event outreach. - Maintain meticulous financial records, closely monitoring budgets, processing invoices, and reporting on expenditures versus budget targets. - Collaborate closely with and communicate effectively with internal stakeholders—including design, procurement, and security—to align all event elements with strategic goals and brand guidelines. - Implement and manage safety and security protocols, prioritizing attendee well-being and compliance with health guidelines. - Collect, analyze, and report event metrics, attendee feedback, and key learnings to inform future events and measure return on investment. You might thrive in this role if you: - Have 7+ years of event production experience, managing end-to-end planning, onsite execution, and post-event analysis. - Enjoy pushing creative boundaries and excel at leading the guest experience–owning front-of-house operations and vendor coordination for high-profile corporate events. - Are passionate about OpenAI’s mission and excited about showcasing cutting-edge AI technology through impactful event experiences. Workplace & Location This roles is based onsite in San Francisco, occasional travel will be required. 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.
Program Manager, National Security Policy Operatio...
About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. The Global Affairs team builds trusted relationships that help external stakeholders understand advanced AI and ensure that their perspectives inform our work. Within Global Affairs, the National Security Policy team works across OpenAI to understand how increasingly capable AI systems affect security, governance, and democratic resilience, and to advance policies that support the responsible development and use of AI. About the Role OpenAI is seeking a highly organized and skilled Program Manager, National Security Policy Operations to join the Global Affairs team, reporting directly to Sasha Baker, who leads the National Security Policy team. This is a hands-on program management role focused on running the planning, coordination, and execution systems that enable the team to operate effectively. This person will translate team priorities into executable plans, synthesize data and inputs into clear program updates, manage key programs and workstreams, and create the operating discipline that keeps decisions, dependencies, and follow-through on track. This role sits at the center of the National Security Policy team's planning, prioritization, information flow, and execution. Success means giving the team clear visibility into commitments, dependencies, decisions, and risks; reducing fragmented operational work; enabling faster and better-informed decisions; and ensuring priorities move reliably from scoping through completion. The ideal candidate takes deep pride in program management as a craft and is energized by enabling policy and technical experts to do their best work. The role works closely with policy experts but is not primarily responsible for setting policy positions or serving as the team's external policy lead. This role may be based in San Francisco or Washington, DC. It will require travel as necessary, and we offer relocation assistance to new employees. Key responsibilities include: - Run portfolio planning and team operations, including intake, workplans, milestones, owners, dependencies, risks, and progress reporting. Surface capacity constraints, recommend sequencing and tradeoffs, and escalate decisions to the team lead, who sets priorities and makes resource decisions. - Build and maintain lightweight, repeatable operating systems for planning, meeting cadences, knowledge management, decision logs, and centralized tracking of developments, commitments, and follow-up. - Own the team's program metrics and central tracking of commitments, owners, deadlines, dependencies, decisions, and follow-up. Keep records current and reliable, and produce concise updates and practical dashboards that make progress, risks, and decisions clear to policy leaders. - Coordinate policy deliverables and external engagements from planning through follow-up. Assemble briefing packages; draft talking points, presentations, readouts, and updates; organize visits and convenings, including logistics; manage review cycles; and track action items through completion, with substantive input and approval from policy leads. - Own operational management of the team's contractors and consultants, coordinating onboarding, scopes of work, deliverables, contract renewals, invoices, and offboarding with Legal, Finance, Procurement, and other relevant teams. Track commitments and performance against agreed deliverables, and flag issues requiring the team lead's decision. - Coordinate across Global Affairs, Research, Safety, Security, Product Policy, Legal, Communications, and OpenAI for Government to manage dependencies, surface decisions, and advance shared priorities. - Continuously improve the team's operating model through feedback loops, retrospectives, and thoughtful use of AI, automation, and lightweight tooling. You should thrive in this role if you: - Enjoy learning enough technical and policy context to coordinate work effectively and synthesize expert inputs into clear briefing materials and updates for technical and non-technical audiences. - Thrive in fast-paced, flexible environments where priorities evolve and good judgment matters. - Collaborate effectively across policy, technical, legal, operational, and business teams. - Can lead complex workstreams and keep stakeholders aligned through influence rather than formal authority. - View program management as a craft in its own right and take satisfaction in building durable systems, creating clarity, and helping teams deliver reliably. - Are passionate about the promise of AI and thoughtful about its potential national security and societal risks. - Are energized by enabling subject-matter experts and leaders to do their best work, and bring high standards, low ego, curiosity, and a strong service orientation. We're looking for a blend of: - 5+ years of relevant experience in program management, project management, policy operations, strategic operations, chief of staff, government program delivery, or related roles. - Experience coordinating complex work across multiple stakeholders and building practical systems that help teams deliver. Experience supporting policy, government, national security, or technical teams is a plus. - A track record of independently driving complex cross-functional programs from scoping through delivery, managing stakeholders, dependencies, and risks while building durable systems and delivering measurable outcomes. - Strong analytical, writing, and communication skills, with the ability to synthesize quantitative and qualitative inputs into crisp decision materials, action plans, and executive-ready updates. - The ability to understand strategic context while remaining hands-on in detailed execution, influence without formal authority, and exercise sound judgment and discretion in fast-moving, sensitive environments. - Genuine care for the impact of AI on national security, democratic institutions, and society; familiarity with areas such as frontier risk, cybersecurity, biosecurity, critical infrastructure, defense and intelligence applications, or technical AI governance is a plus. Formal project or program management certification is welcome but not required. 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.
Deployment Lead, Forward Deployed Engineering (FDE...
About the Team OpenAI’s Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production systems. Within FDE, the Platform team turns promising use cases into repeatable solutions to deliver at scale. About the Role As a foundational Platform Deployment Lead (DL), you’ll shape new solutions and lead them from customer validation through launch and repeatable adoption. You’ll combine product judgment with hands-on customer deployment experience to identify valuable problems and define a path to scale. You’ll also help build the function, navigating significant ambiguity to define its scope and ways of working. You’ll partner with FDEs, Product, and GTM to align the roadmap, resolve shared dependencies, and balance customer commitments with reusable capabilities. Success means measurable customer and business impact, growing adoption, and building solutions that field teams or partners can deliver without depending on the originating team. This role is based in San Francisco or New York City, with 3 days in the office per week, relocation assistance, and travel up to 50%. In this role, you will: - Define clear solutions around a valuable problem and shape the path to market. - Use customer, field learnings, and market evidence to set the next proof point, narrow scope, and recommend where to invest. - Select design partners and use pilots to test value and repeatability. - Define quality and launch criteria. - Enable field teams and partners to scope, sell, and deliver the solution using playbooks and building the support model they need. - Track adoption and establish ongoing ownership as solutions scale. You might thrive in this role if you: - Bring 5+ years of product leadership or customer-facing technical delivery experience. - Have taken technical products from discovery through production and adoption. - Translate customer workflows and deployment evidence into clear product priorities. - Can reason through integrations, data, evaluations, and enterprise deployment constraints. - Thrive in ambiguity and enjoy building new functions: creating structure where little exists, making sound decisions with incomplete information, and adapting as priorities evolve. - Build trust and drive decisions across engineering, Product, GTM, partners, and customers. - Understand technical go-to-market and enjoy building new solutions in ambiguous environments. 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.
Compensation Programs & Operations Lead
About the Team OpenAI’s Compensation team helps attract, reward, and retain the people advancing our mission to ensure that artificial general intelligence benefits all of humanity. We develop compensation strategies and programs that support a rapidly evolving business, combining market insight, sound judgment, and thoughtful execution. We partner across People, Finance, Legal, and the business to deliver programs that employees and leaders can understand and trust. About the Role We’re looking for a Compensation Programs & Operations Lead to own the end-to-end program management of our cyclical and ad hoc compensation programs globally. You will turn compensation priorities into executable plans and lead delivery from initial scoping through launch, reconciliation, and continuous improvement. This is a senior, hands-on role for a compensation subject-matter expert who is energized by operations and E2E program ownership. You should bring experience across compensation operations analysis, compensation analysis, business partnership, and program management. Having done this work yourself, you understand the practical details behind compensation decisions and what it takes to implement them accurately. You will establish how our compensation programs run: the calendar, responsibilities, systems requirements, controls, communications, and handoffs that connect program design to the employee experience. You’ll partner closely with Compensation Partners, HR Business Partners, People Operations, People Technology, Finance, Payroll, Equity Administration, and Legal, creating clarity and driving execution as priorities evolve. In this role, you will: - Lead our compensation program portfolio. Own the integrated roadmap and calendar for cyclical and ad hoc programs, including compensation reviews, bonus and equity cycles, promotion-related compensation processes, recognition and retention initiatives, and new program launches. - Drive programs from planning through completion. Define scope, deliverables, milestones, accountable owners, dependencies, and resource needs. Coordinate work across teams, resolve blockers, and bring decisions and tradeoffs to the right owners early. - Translate compensation expertise into practical operations. Work with Compensation Partners and program owners to turn approved designs into clear eligibility rules, calculations, workflows, approval paths, and exception processes. Identify gaps and implementation risks before launch. - Stay close to the analysis and data. Build and review models, validate inputs and calculations, investigate discrepancies, and reconcile final outcomes. Be comfortable working directly in the details when a program needs it. - Build reliable execution controls. Establish quality checks, documented approvals, access controls, and audit trails. Coordinate accurate handoffs to Payroll, Equity Administration, and People Operations, with clear ownership through completion. - Shape compensation systems and tooling. Translate business needs into requirements, partner with People Technology on configuration and integrations, lead user acceptance testing, and prioritize improvements that reduce manual work and errors. - Manage incoming requests and changing priorities. Create a practical intake and prioritization process for ad hoc compensation initiatives. Make capacity, timing, and dependencies visible so urgent work can be delivered alongside recurring commitments. - Make programs easier to understand and use. Develop operating guides, manager resources, communications, and training. Equip Compensation Partners and other stakeholders to explain programs consistently and resolve questions efficiently. - Improve how the function operates. Measure accuracy, timeliness, manual effort, and stakeholder experience. Run post-cycle reviews and turn findings into simpler processes, stronger documentation, and effective automation. You might thrive in this role if you: - Have 10+ years of progressive compensation experience , including substantial responsibility for global compensation programs and operations in a complex, fast-growing organization. - Have performed the core responsibilities of a Compensation Operations Analyst, Compensation Analyst, Compensation Partner, and Compensation Program Manager , whether through separate roles or a combination of positions. - Bring deep compensation expertise across base pay, incentives, equity, market benchmarking, salary structures, and job architecture, and understand how these elements translate into day-to-day administration. - Have independently led complex compensation cycles and new initiatives, coordinating multiple teams from planning and analysis through implementation and reconciliation. - Are deliberately drawn to an operations-focused role. You enjoy making programs work, improving the details, and building processes that others can rely on. - Combine strong analytical skills with practical systems experience, including advanced spreadsheet modeling and hands-on work with Workday or comparable HR and compensation platforms. - Can establish priorities and drive progress when requirements are incomplete or changing, while making thoughtful tradeoffs about speed, accuracy, and capacity. - Communicate clearly with senior leaders and working teams, influence across functions, and make ownership and next steps explicit. - Exercise sound judgment with confidential information and bring a high standard of accuracy, accountability, and service to your work. 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.
Mechanical Engineer, PCBA Test Infrastructure, Rob...
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 a Mechanical Engineer for a senior individual-contributor role leading printed circuit board assembly (PCBA) test fixtures and infrastructure for advanced robotic systems. You will independently turn evolving requirements into working fixtures, make technical tradeoffs, and own delivery from concept and detailed design through fabrication, validation, deployment, and reliable operation. This role combines development-lab work with deployment at contract manufacturers. You will build precision mechanical systems for board programming, functional test, and characterization, including board nests, probe plates, connector interfaces, alignment features, clamps, enclosures, and thermal interfaces. You will partner with electrical, firmware, software, manufacturing, and reliability teams to make fixtures repeatable, protective of delicate assemblies, and maintainable as board designs evolve. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. Travel to contract-manufacturer sites is part of the role, with timing based on build and deployment needs. In this role, you will: - Own the mechanical architecture of PCBA test stations, including frames, board nests, datum schemes, access, guarding, ergonomics, and serviceability. - Design probe and bed-of-nails fixtures, connector-mating mechanisms, board supports, clamps, and interchangeable tooling for programming, functional test, and characterization. - Use first-principles analysis and simulation to assess stiffness, probe and insertion forces, board deflection, tolerance stacks, thermal growth, and fixture life; validate key predictions on hardware. - Develop locating and compliance features that accommodate board and assembly variation, protect components and solder joints, and preserve contact repeatability across loading cycles and board revisions. - Partner with electrical engineers on test-point access, probe selection, connector engagement, ESD provisions, cable routing, cooling, and interlocks; define motion and sequencing constraints with software and controls partners. - Build, assemble, instrument, and debug fixtures in the lab. Establish acceptance checks for alignment, force, board strain where needed, contact repeatability, and cycle life; separate fixture problems from board failures. - Design safe loading, pinch-point protection, hard stops, and operator access for manual or actuated fixtures. Make wear components easy to inspect, clean, and replace. - Manage fabrication partners and component vendors. Release CAD, drawings, bills of materials, tolerance analyses, assembly instructions, inspection plans, and maintenance procedures. - Own fixture deployment and acceptance at contract manufacturers, including assembly and alignment checks, correlation with lab fixtures, operator training, and troubleshooting. Support replication, board-revision changes, and maintenance through released documentation. You might thrive in this role if you: - Have strong mechanical intuition for precision interfaces, load paths, compliance, tolerances, and the behavior of delicate electronic assemblies. - Move readily between analysis, CAD, vendor collaboration, and hands-on assembly and debugging. - Care about repeatable contact, controlled forces, operator usability, and equipment that others can maintain. - Take ownership from concept through reliable daily operation, adapting fixtures to evolving boards and communicating clearly across electrical, software, manufacturing, and operations teams. Required qualifications - Demonstrated ability to independently deliver significant precision-fixture or equipment projects from ambiguous requirements through detailed design, fabrication, validation, and sustained use. - Strong 3D CAD and released-drawing capability, including complete fabrication and assembly packages, bills of materials, and revision control. - Strong fundamentals in GD&T, tolerance analysis, locating schemes, stiffness, compliance, contact forces, and load paths. - Hands-on ability to work with fabrication partners, assemble and measure fixtures, diagnose failures, and iterate hardware in a lab or manufacturing environment. - Ability to define and execute fixture acceptance checks for alignment, force, repeatability, wear, and safe operation, using evidence to distinguish fixture problems from product variation. - Ability to communicate interfaces and tradeoffs across electrical, software, manufacturing, and operations teams and support deployment and troubleshooting at contract manufacturers. Preferred qualifications - Degree in Mechanical Engineering, Mechatronics, Robotics, or a related field, or equivalent practical experience. - Prior PCBA test-fixture experience with board nests, probe or bed-of-nails fixtures, connector mating, and protection of delicate electronic assemblies. - Experience with ESD-aware tooling, thermal interfaces, actuated fixtures, interlocks, or structural and thermal simulation. - Experience with NX, SolidWorks, Creo, or equivalent tools; robotics hardware; or fixture replication and new-product builds at contract manufacturers. What success looks like - Deliver a reusable PCBA fixture that meets agreed alignment, contact, board-support, and loading requirements, with demonstrated repeatability and protection of the assembly under test. - Validate fixture wear and cycle life, identify sources of intermittent contact or board loading, and improve contact-related failures, changeover time, and serviceability against agreed targets. - Deploy and accept the fixture at a contract manufacturer with released CAD, drawings, inspection checks, assembly instructions, spare-parts information, and maintenance procedures that enable others to reproduce and sustain it. 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.
Software Engineer, Research Tooling
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're creating platforms for experiment orchestration, developing novel visualization tools for model evaluation, or building abstractions for understanding model behavior at scale, your work will directly accelerate our mission of building frontier AI models. We're looking for someone who can jump into new problems, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No prior ML or research experience is required. What you’ll do - Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis. - Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications. - Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage. - Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable. You may be a fit if - You’ve had experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) - You’ve shipped full-stack products and owned systems from user interface to storage or services, using technologies such as TypeScript and React alongside Node, Python, or Go. - You’ve built dense, data-facing tools such as transcript viewers, diffing systems, review queues, observability products, or operational dashboards—and you have strong opinions about how structured data should be rendered. - You have strong product instincts, can identify the right problems to solve, and can move from concept to working prototype with ease. - You move quickly under ambiguity, collaborate closely with researchers and domain experts, and take open-ended problems from rough need to reliable product. Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Strategic Contracts Lead, Public Sector
Scale is at the forefront of powering artificial intelligence. We believe that to build exceptional artificial intelligence, you need exceptional human intelligence. Scale operates the largest global platform of knowledge workers that help deliver the human intelligence needed to build artificial intelligence. Scale is seeking a Contract Manager to support our commercial and public sector teams. In this role, you will help scale (pun intended!) the legal department by working closely with business and legal teams to review, draft, and negotiate agreements. As an essential member of the legal team, you will also help refine workflows, manage processes, and be a critical cross functional partner. We are looking for someone who is excited about developing processes, getting into the weeds in our contract data, and improving efficiency across the legal team. You will: - Develop, maintain, and administer government contracts lifecycle management processes and systems. - Negotiate and administer agreements between Scale and our customers, subcontractors, and vendors ensuring adherence to company policies and government regulations. - Respond to inquiries from our customers, subcontractors, and vendors. - Maintain Scale registration, reporting, and disclosures in government systems such as SAM.gov, PIEE, CPARS, etc. - Work closely with public sector legal teams to manage and improve our contracting processes, including contract management systems and contracts signature systems - Guide stakeholders in self-serve contracting processes as well as directly negotiate NDAs, task orders, modifications, prime contracts, vendor agreements, and other agreements - Partner with cross functional partners to track ongoing obligations post-signature - Document fulfillment of contract milestones/deliverables, invoices and cash collection. - Support the business and legal team members on legal review for customer questionnaires, security questionnaires, and a variety of other customer-driven requests. - Help build and maintain internal processes, resources, and tools to help scale the legal function. You have: - Active Top Secret Security Clearance. - Experience with a wide array of legal documents and contractual agreements, including NDAs, task orders, modifications, prime contracts, vendor agreements, and other commercial contracts - Experience working with contract lifecycle management tools such as Ironclad. - Bachelor’s degree. - 5+ years of experience as a contracts manager, paralegal, or similar experience - Knowledge of the Federal Acquisition Regulations (FAR), Defense Federal Acquisition Regulations Supplement (DFARS), and other agency supplements. - Knowledge of government contract and subcontract processes including flow downs, change management, inspection, acceptance, payment, warranty, close-out and records retention. - Experience with Organizational Conflict of Interest (OCI) terms and mitigation plans. - A roll-up your sleeves attitude to tackle projects large and small and a collaborative, low-ego approach to collaborating across the organization Nice to have's: - Strong background working with SaaS or other technology companies. - Experience with government acquisitions via Broad Agency Announcement, Commercial Solutions Opening, Other Transaction Authority, SBIR Phase 3, Consortiums, and other unique competitive and non-competitive government procurement types. - Experience with GSA schedules, Government Wide Acquisition Contracts (GWACs), BPAs, and other multi-award contract vehicles. - A track record of taking initiative and being resourceful to accomplish ambitious goals. - Effective organizational skills and and ability to juggle many competing priorities. - Fluency with spreadsheets, basic statistics, and an ability to use data to drive decisions. - Experience working with various business tools such as Salesforce, Airtable, and Jira. - Understanding of contract basics and a desire and willingness to learn. - Interest in AI, law, privacy, and intellectual property. 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 Washington DC is: $138,400 - $173,000 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.
Global Candidate Experience Manager
About the Team The Candidate Experience team ensures that every interaction candidates and interviewers have with OpenAI reflects excellence, fairness, and humanity. This team owns global coordination, interview logistics, onsite experience, Interview Programs, and the operational workflows that support all recruiting functions, from Executive and Research to Technical, GTM, and G&A. The Candidate Experience team supports a wide range of hiring modalities (from executive and research to high-volume technical roles), and we need someone who understands how to adapt across them. As OpenAI scales globally, this team plays a critical role in designing experiences that are both bespoke for highly specialized searches and scalable across rapidly growing teams and offices. About the Role As Global Candidate Experience Manager, you will manage CE managers and Interview Programs program managers, with global responsibility for candidate experience, coordination and interview program delivery. You will lead through the team’s managers, leads and program owners while staying close enough to daily work to understand where it breaks. You will own service quality, capacity planning, interviewer readiness, program delivery and continuous improvement across high-volume and highly bespoke hiring. We are looking for a hands-on operating leader who can build useful AI-enabled workflows, forecast and allocate capacity, and drive complex programs from diagnosis through launch and sustained adoption. You should be comfortable reviewing a queue with coordinators, testing a workflow with technical partners, and translating a broad goal into clear owners, milestones and decisions. Your aim is to strengthen the team’s judgment and autonomy while improving candidate care. You can move between global operating design and frontline detail, reprioritize as demand changes, and deliver high-quality work quickly despite ambiguity. You know when to standardize and automate, when a human should remain accountable, and how to explain practical tradeoffs among speed, quality, workload and fairness. In this role, you will: - Manage and develop CE managers and Interview Programs program managers; support their leads and coordinators through clear priorities, delegated decisions, timely feedback and fair accountability. - Stay close to daily work through queue reviews, workflow walkthroughs and direct team feedback. Diagnose system, capacity and skill problems, and personally lead selected projects with clear ownership. - Own CE service delivery across high-volume and confidential Executive/Research hiring. Improve scheduling, routing, handoffs and onsite experience, with clear exception and escalation boundaries. - Build and maintain a capacity model covering demand mix, handling time, productive hours, skills, regional coverage, leave, rework and backlog recovery. - Set priorities across CE service and Interview Programs with recruiting leaders. Make staffing and service tradeoffs early, accounting for regional coverage, workforce continuity, interviewer bandwidth and fair coordinator workloads. - Drive programs and projects end to end: define the problem and success measures; manage owners, milestones, dependencies, risks, launch readiness and adoption. - Own Interview Programs’ operating model, priorities and delivery through accountable program owners, including readiness, onboarding, calibration support, question governance, integrity escalation and loop health. Preserve technical approval, hiring and investigation decisions with their designated owners. - Personally shape and test practical AI-enabled workflows with Recruiting Optimization and People Technology; use approved data, evaluation cases, human review, monitoring and rollback. - Measure net improvements after review and rework, and turn successful pilots into adopted processes with training, documentation and accountable owners. - Run a focused service-health cadence using queue age, SLA attainment, demand/capacity variance, scheduling efficiency, quality/rework, candidate feedback and interviewer load. - Partner with Recruiting, Executive Operations, People Technology, People Analytics, Workplace, IT and HR Operations to remove cross-functional bottlenecks. You might thrive in this role if you have: - Strong operations leadership: Led high-performing teams in People Operations, Recruiting Operations or another operations function, with clear accountability for service quality and results. - Experience at scale: Managed high-volume operations in a high-growth environment, adapting staffing, workflows and priorities as demand and complexity increased. - Excellent program management: Delivered complex, cross-functional programs from problem definition through launch and sustained adoption, with clear owners, milestones, dependencies and measures of success. - People leadership: Managed and developed managers and program owners through effective coaching, delegation, feedback and accountability. - Hands-on execution and bias to action: Stays close to frontline work, uses data to diagnose problems and moves work forward with sound judgment—even when the path is unclear. - Practical AI experience: Personally built, configured or tested AI-enabled workflows and can explain what improved, how they evaluated it and what they learned. Nice to Have - Experience running multi-region coverage or supporting a mix of high-volume and confidential, bespoke hiring. - Contingent-workforce planning, including vendor coordination, handoffs and continuity through departures. - Ashby and Guide experience, or deeper experience with question governance, integrity escalation and interviewer readiness. Workplace and Location San Francisco headquarters. Hybrid schedule - Monday to Wednesday in office. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Recruiting Coordinator
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 The Role: LangChain is hiring a Recruiting Coordinator to help build and scale our high-performing team. You’ll support recruiters, hiring managers, and candidates through every step of the interview and hiring process. You’ll manage interview logistics, drive candidate communication, and keep our recruiting operations running smoothly. You’ll be a key part of creating a thoughtful, efficient, and candidate-friendly hiring experience. What you’ll do: - Schedule a high volume of interviews across multiple time zones and mediums (virtual & in-person) - Communicate directly with candidates via email and phone to keep them informed and prepped throughout the process - Help manage various projects including interview training and pipeline reporting in our ATS (Ashby) - Host candidates onsite for interviews and team meetings - Collaborate with hiring managers and recruiters to build out and update interview plans and other internal documentation - Be a strategic partner with recruiters to continuously improve internal processes and tools - Support recruiting initiatives including sourcing events, referral drives, and onboarding prep What we’re looking for: - 2+ years of coordination experience within a technology company, ideally supporting recruiting or HR - Strong organization and time management skills: ability to prioritize and execute multiple high-priority tasks simultaneously - Keen attention to detail - Passion for creating exceptional candidate experiences - Startup DNA: experience in a startup or ability to thrive and create clarity in fast-paced, unstructured environments - Excellent written and verbal communication skills - Proactive problem-solving mindset with a drive for continuous improvement Bonus if you have: - Experience with modern ATS systems (e.g., Ashby, Greenhouse, Lever) - Familiarity with building recruiting and coordination processes (interview training programs, scheduling best practices, candidate experience design) - Expertise building dashboards, workflow automations, and agentic solutions for recruiting teams Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.
Strategic Finance
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the Role *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle Strategic Finance is a high-visibility, high-impact role embedded in the decision-making core of the company. You will serve as a crucial partner to our executive, R&D, and GTM teams, owning the financial modeling and analysis that drives our core product and research strategy, optimizes our GTM engine, and informs critical operational decisions. This is a role for someone who has done this inside a fast-growing company before. You bring that operating judgment alongside analytical rigor, strong communication, and the curiosity to thrive at the frontier of generative AI. You’ll work closely with our CFO and Head of Strategic Finance, and partner directly with the executive team and cross-functional leads. What you’ll do - Partner deeply with Product, Research, and Engineering leadership to evaluate the financial ROI and viability of new product lines, features, and R&D investments. - Drive pricing and packaging strategies that maximize market penetration and revenue expansion. - Collaborate with Sales and Marketing leaders to analyze and optimize unit economics (LTV/CAC, payback periods), sales efficiency, pipeline health, and customer retention. - Act as the analytical engine for the executive team by leading cross-functional initiatives to improve operational efficiency, optimize resource allocation, and scale business processes. - Translate operational plans into financial models, identify risks and opportunities, and hold teams accountable to KPIs. - Own the KPI infrastructure that connects product and revenue metrics to financial outcomes, ensuring accuracy, timeliness, and a consistent narrative across all reporting. What you’ll need - 7+ years of experience, including foundational analyst experience in investment banking or financial services, and high-impact operating experience in Strategic Finance, BizOps, or Corporate Finance at a high-growth technology company. - Experience building and leveraging AI tools for yourself and for cross-functional use. - A track record of operating through rapid scale: building and evolving financial models, planning processes, and reporting as a company’s complexity grows. - Strong fundamentals in financial modeling with a rigorous and quantitative approach to measuring operational success. - Exceptional communication skills with the ability to distill complex financial concepts into simple, digestible narratives for non-financial stakeholders. - You have a high bar for operational excellence and a keen sense of how to translate complex, ambiguous business questions to a clear plan of action. - A genuine interest in AI and its implications for industry and society Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Partner Solution Architect, USA
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 As a member of the Partner Solution Architecture Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models. What you will do - Help onboard Mistral solutions and models to strategic ISV and Tech partner platforms - Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with GTM - Drive enablement at scale across strategic partner technical and sales teams - Create and update assets for partner enablement: technical demos, enablement videos, reference architectures, etc. - Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer - Represent Mistral AI at partner, customer, and industry events, including executive briefings, conferences, and developer gatherings - Collaborate with Mistral teams, from Science, Product, Engineering, Support, and GTM to progress and support deals, as well as providing expertise and insights where necessary What we look for - Experience in a technical partner presales, solutions architect, or consulting role with heavy partner and customer-facing exposure. - A track record of building enablement assets and driving evangelism at scale across partner organizations - Experience partnering with ISVs or Technology Partners, driving technical account strategy, proof-of-concept scoping and support, and execution - Strong Python or TypeScript skills - Working knowledge of cloud architecture and deployment patterns for AI and ML solutions - Strong stakeholder management, including comfort with C level conversations, and outstanding presentation skills across technical and business audiences - Bachelor's or Master's in computer science, engineering, mathematics, or related field, or equivalent experience Nice to have - Familiarity with MEDDPICC and Command of the Message. - Working knowledge of Generative AI serving architectures, e.g. vLLM - Working knowledge of Kubernetes What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Product Reliability Engineer
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. The Compute team works on the design of our AI supercomputers, doing everything from workload modeling to influencing accelerator design. We’re leaning into our partnerships to make system and data center co-design an integral part of this process, and are looking for engineers to design AI supercomputers solutions for data center applications This team is responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production. If you’re excited to work at the intersection of cutting edge deep learning, hardware system, and data center design this role is for you! About the Role We’re looking for a Product Reliability Engineer to own reliability engineering for advanced IT hardware, from printed circuit board assemblies (PCBAs) through compute and networking trays, systems, and fully integrated racks. You’ll translate operating conditions and service-life goals into reliability requirements, design and execute qualification tests, and drive failure analysis and corrective-action verification from development through production and field deployment. Working with electrical, mechanical, thermal, manufacturing, quality, and data center teams, suppliers, and manufacturing partners, you’ll use test and field evidence to improve hardware durability, serviceability, and availability. 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: - Define reliability requirements and targets for PCBAs, trays, systems, and racks using mission profiles, expected service life, operating environments, duty cycles, and availability goals. - Drive design-for-reliability reviews with electrical, mechanical, and thermal engineers. Use failure modes and effects analysis (DFMEA or FMEA) and physics of failure to prioritize risks and recommend design improvements. Own component de-rating guidelines and guidance. - Own reliability qualification plans from new product introduction through production, defining test coverage, representative configurations, sample sizes, stress conditions, duration, pass/fail criteria, and exit evidence at each assembly level. - Develop and execute accelerated life and environmental tests, including temperature cycling, humidity exposure, power cycling, shock, vibration, and transport testing. Exercise hardware under representative workloads and monitor function and degradation during stress. - Analyze life-test and field data using Weibull and other reliability models, acceleration models, and confidence intervals. State assumptions, exposure, and uncertainty when estimating failure rates, useful life, or reliability against targets. - Lead failure investigations from symptom reproduction through physical root cause. Maintain failure reporting, analysis, and corrective-action records, and verify fixes through targeted testing and recurrence monitoring. - Review supplier reliability plans and evidence for PCBs, PCBa components/assemblies, cables, connectors, and cooling components. Identify gaps between component qualification and the stresses encountered in the integrated system or rack. - Work hands-on with internal and partner labs to develop fixtures, instrumentation, and test methods. Review sample traceability, test configurations, calibration, raw data, and failure capture, including on-site support at manufacturing partners. - Partner with manufacturing and quality engineers to establish and validate reliability screens, burn-in where justified, and ongoing reliability testing. Confirm screening detects relevant defects without consuming unacceptable product life. - Evaluate reliability risks introduced by assembly and integration: board strain and solder-joint damage, connector mating and retention, cable routing, fastener preload, power connections, and thermal interfaces. Partner with cooling specialists on leak integrity, material compatibility, corrosion, and cooling performance over life. - Plan reliability test resources, lab capacity, hardware samples, schedules, and dependencies across programs with engineering teams, technical program managers, suppliers, and manufacturing partners. - Present qualification results, unresolved failure modes, and residual risk at design and release reviews. Make evidence-based readiness recommendations and clearly identify test gaps, required follow-up, and decisions for accountable owners. - Assess reliability impact and define targeted requalification for design, component, supplier, manufacturing process, and repair changes, including firmware changes that alter hardware operating stresses. - Track field returns and fleet failure trends with service and data center teams. Correlate telemetry, failure analysis, and configuration history to prioritize corrective actions and feed lessons into future designs and qualification plans. - Validate serviceability and repeated assembly or maintenance operations, including connector mating cycles and component replacement. Work with system engineers to assess how hardware failures, redundancy, and recovery affect rack availability. You might thrive in this role if you: - Have hands-on reliability engineering experience with advanced IT hardware, such as AI/HPC servers, networking equipment, or storage systems, spanning PCBAs, electromechanical assemblies, and integrated racks. - Have designed, instrumented, and executed hardware reliability tests, debugged failures in the lab, and translated results into practical design or process improvements. - Understand failure mechanisms in electronic assemblies, including solder fatigue, PCB and laminate damage, connector wear, corrosion, and thermal or mechanical degradation. - Can turn mission profiles and failure risks into qualification plans, select defensible sample sizes and stress levels, and explain the assumptions and limits of accelerated testing. - Have led reliability qualification through development and production milestones, balancing sample availability, lab capacity, schedule, and the evidence needed for release decisions. - Have worked directly with component suppliers, joint design manufacturers, contract manufacturers, and external test labs to review test methods, resolve failures, and verify corrective actions. - Apply design for reliability, DFMEA, and physics-of-failure methods across electrical, mechanical, and thermal interfaces, and understand how manufacturing, assembly, handling, and repair affect long-term reliability. - Have driven structured failure analysis and corrective action using methods such as 8D, supported by electrical diagnostics, microscopy, X-ray, cross-section analysis, or specialist failure-analysis labs as appropriate. - Can analyze reliability and life-test data, including censored data, Weibull distributions, and confidence bounds, using tools such as Python, R, JMP, or equivalent statistical software. - Bring experience with high-power electronics, dense interconnects, or liquid-cooled hardware, including thermal interfaces, leak integrity, material compatibility, and serviceability. - Communicate technical findings and uncertainty clearly, distinguish verified root cause and corrective-action effectiveness from hypotheses, and prioritize reliability risks when requirements or designs change. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regula tions. 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.
Sales Manager, Enterprise Industries
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. Sales Manager, Enterprise Industries As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with leading enterprises. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities across their business. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for industry-specific applications - Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives within the Industries sector - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across business units, research and development centers, and corporate functions - Help your team navigate complex enterprise stakeholder ecosystems including executives, business leaders, IT departments, and procurement offices to build consensus - Gather and synthesize customer feedback to inform product direction and enhance customer experience for Industries - Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: - 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies - 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in France - Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries - Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with customer stakeholders - Track record of successful partnership with technical teams throughout the customer journey within large enterprises - Deep understanding of Industries buying cycles, procurement frameworks, and key pain points - Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives - Experience managing complex enterprise sales cycles and helping AEs secure strategic deals - Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles - Excellent communication skills and ability to build relationships across all levels, from technical and business teams to senior executives in Industries - Strategic approach to market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible development Sales Manager, Enterprise Industries En tant que Sales Manager chez Anthropic, vous dirigerez une équipe d'Enterprise Account Executives qui favorise l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des entreprises de premier plan. Vous mettrez à profit votre leadership et votre expertise de la vente consultative dans le secteur Industries pour accélérer la croissance du chiffre d'affaires, tout en développant une équipe d'AE très performante. En étroite collaboration avec les équipes Applied AI Engineering et Produit, vous aiderez les clients Industries à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans l'ensemble de leurs activités. En collaboration avec les équipes GTM et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles des grandes entreprises et apportent une valeur différenciée sur l'ensemble du secteur Industries. Le profil idéal a à cœur de faire grandir ses équipes, de repérer les opportunités de marché au sein du secteur Industries et de mettre en œuvre les stratégies qui permettent de les saisir. En pilotant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : - Constituer et diriger une équipe très performante d'Enterprise Account Executives dédiée au secteur Industries, en lui apportant coaching, mentorat et accompagnement pour assurer sa réussite - Élaborer et mettre en œuvre des stratégies commerciales adaptées aux cycles d'achat et aux processus budgétaires du secteur Industries, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires de l'équipe - Établir et tenir à jour des prévisions fiables, assurer la gestion du pipeline et le reporting, tout en garantissant l'intégrité des données dans les systèmes CRM - Travailler avec l'équipe Enablement pour concevoir des programmes de formation et des ressources qui accélèrent la montée en compétence et l'efficacité des AE, avec une attention particulière aux cycles d'achat et aux processus de décision du secteur Industries - Collaborer étroitement avec les équipes Applied AI Engineering pour démontrer les capacités techniques en avant-vente et optimiser les solutions en après-vente pour les applications propres à chaque secteur - Permettre à votre équipe de mener des échanges techniques crédibles sur les applications de l'IA dans le secteur Industries, dans le respect des garde-fous appropriés - Nouer des partenariats solides au sein de l'organisation pour faire avancer les initiatives stratégiques du secteur Industries - Identifier et concrétiser de nouvelles opportunités de marché et de nouveaux cas d'usage pour les solutions d'IA d'Anthropic au sein des directions métiers, des centres de recherche et développement et des fonctions support - Aider votre équipe à naviguer dans des écosystèmes complexes de parties prenantes au sein des grandes entreprises (direction générale, directions métiers, DSI et services achats) afin de construire un consensus - Recueillir et synthétiser les retours des clients pour éclairer l'orientation produit et améliorer l'expérience client du secteur Industries - Construire et affiner en continu la méthodologie de vente Industries en intégrant les enseignements dans des playbooks et des bonnes pratiques Ce poste pourrait vous correspondre si vous avez : - Au moins 15 ans d'expérience en vente aux grands comptes dans les technologies pour le secteur Industries, de préférence dans l'adoption de solutions SaaS ou de technologies émergentes - Au moins 5 ans d'expérience en management commercial, dont idéalement 3 ans ou plus à la tête d'équipes du segment Enterprise dédiées au secteur Industries en France - Une expérience confirmée de la constitution et de la direction d'équipes commerciales très performantes vendant aux grandes entreprises, avec des réussites avérées dans le coaching et le développement des AE - Une expérience de la mise en place et du déploiement à grande échelle de processus, d'outils et de méthodologies de vente dans des organisations en forte croissance au service du secteur Industries - Une solide culture technique et la capacité à comprendre des solutions d'IA complexes et leurs applications dans le secteur Industries, ainsi que l'habitude de préparer vos équipes à mener des échanges techniques crédibles avec les parties prenantes côté client - Une expérience réussie de la collaboration avec les équipes techniques tout au long du parcours client au sein de grandes entreprises - Une connaissance approfondie des cycles d'achat, des cadres de passation des marchés et des principales problématiques du secteur Industries - Une capacité avérée à piloter des cycles de vente complexes impliquant de multiples interlocuteurs et des parties prenantes variées, et à mener des initiatives transverses - Une expérience de la gestion de cycles de vente complexes aux grands comptes et de l'accompagnement des AE dans la conclusion de contrats stratégiques - Une grande rigueur opérationnelle dans la gestion du pipeline, les prévisions et les indicateurs commerciaux propres aux cycles de vente du secteur Industries - D'excellentes compétences en communication et la capacité à nouer des relations à tous les niveaux, des équipes techniques et métiers jusqu'aux membres de la direction du secteur Industries - Une approche stratégique de l'analyse de marché, alliée à une exécution tactique irréprochable - Un intérêt marqué pour les technologies d'IA et un engagement en faveur de leur développement sûr et responsable 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.
Program Manager, Accounting Operations & Strategy
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 Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm - Run the annual goal setting process and the reporting that tracks progress against those goals. - Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. - Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. - Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events - Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. - Own planning and agenda for the annual offsite and run the quarterly team all-hands. - Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture - Coordinate projects across the org that support employee experience programs. - Partner with the People team to roll out training and development programs for Accounting. - Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. - Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. - Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations - Support contractor management, including onboarding, tracking, and coordination with the right partners. - Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. - Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications - 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. - A track record of running recurring programs end to end and getting people to follow through without formal authority. - Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. - Clear, direct writing. You can brief a senior leader in a few sentences. - Comfort with confidential information and sensitive people topics. - Experience supporting distributed or global teams. - You're organized, but you also know when a process is getting in the way and should be simplified. 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.
Product Manager, Claude Marketplace
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 vision for Claude Marketplace is to create an ecosystem flywheel, connecting builders and buyers. For partners this drives stickier relationships, higher SOW, and Pillar 3 growth. For customers, this drives activation, retention, and confidence in bigger commits. When successful, Marketplace will be a part of every customer conversation, embedded in every commit, and a one-stop discovery surface for everything customers need to extend and deploy Claude. We're hiring a Product Manager to own the Marketplace as a product, for the partners who sell on it and the customers who buy through it. You'll work closely with the Marketplace team, which owns the partner and customer relationships as well as the commercial motion, and build on systems owned by other product and engineering teams. You'll have a lot of room to define and build the experience fitting for an AI native world. Key responsibilities - Own the Marketplace product end to end for partners and customers, from onboarding and listing through purchase and billing - Design the commercial workflows behind the Marketplace from first principles, so they scale and meet partners' and customers' finance, audit and compliance requirements - Shape the business strategy and commercial incentives with Business Development, Finance and Legal, and build them into the product - Be the product voice partners hear from, and turn signals from partners, customers and the field into a roadmap - Define the Marketplace's success metrics and how they're measured Minimum qualifications - Have owned a product end to end, including the operational workflows behind it, and were the person accountable for its outcomes - Have built with or shipped on top of large language models, and have used them to make a product experience better - Have led cross-functional work where most of the teams you depended on didn't report to you, and earned their trust quickly - Can present to executives at partner companies and represent Anthropic well in front of them - Write clearly enough that an engineer, an executive and an external partner can each see the tradeoff you're making - Care about Anthropic's mission, and specifically about building an ecosystem where the companies that build on Claude grow along with it Preferred qualifications - 8+ years of product management experience - Played an active role in a marketplace, app store or partner ecosystem, on either the platform or the partner side - Taken a product from zero to one, where the users, the product and the economics all had to be worked out at once - Go-to-market instincts: how co-sell motions, partner programs and platform economics work in enterprise software - Experience/familiarity with high growth AI native companies, including their business models and growth vectors Location San Francisco, New York City or Seattle. 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.
Policy Program Manager, Safeguards Regulatory
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 Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves. The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs. Key responsibilities - Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards - Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally - Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards - Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely - Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended - Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions Minimum qualifications - Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm - Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them - Experience running risk assessment or harm mitigation programs from identification through to resolution - Experience translating policy or regulatory requirements into practical operational processes - Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline - Clear written communication, including documentation for technical, legal and external audiences - Strong attention to detail, and the judgment to recognize when work is at risk and raise it early - Commitment to the safe development and deployment of AI Preferred qualifications - Experience with AI-specific regulation, such as the EU AI Act - Experience leading incident response programs, including escalation paths and external reporting obligations - Experience preparing safety documentation, transparency reports or regulatory submissions - Experience working with technical and research teams on safety evaluations 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.
IT Systems Engineer, Client Platform Engineer, Chr...
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 Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities - Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy - Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet - Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from - Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach - Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program - Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls - Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends - Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state - Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions - Work with Security on the contractor access model and on keeping Anthropic data off vendor devices - Run data loss controls through Chrome Enterprise Premium - Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant - Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment - Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you - Have owned ChromeOS as a platform for a fleet of thousands of devices - Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting - Have automated ChromeOS policy through the Chrome Policy API or GAM - Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams - Have set up zero touch enrollment with resellers and shipped devices across several countries - Have worked with Android device management and can hold your own in a mixed fleet - Excel at ambiguous problems that touch several teams at once - Communicate technical concepts clearly to any audience, including vendor partners - View IT Engineering as requiring product engineering rigor - Write clear documentation as a natural part of your workflow Strong candidates may also - Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles - Have managed ChromeOS alongside macOS or mobile fleets - Have used VDI or browser-based access to keep data off the device for outsourced teams - Have supported BPO or vendor programs through fast growth into new regions - Have built automated, progressive rollout systems with promotion gated on telemetry - Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills - Python and shell scripting - ChromeOS management through the Google Admin console and Chrome Enterprise - Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting - Android Enterprise management (working knowledge) - Querying live device state at fleet scale - GitOps and CI for configuration management - Endpoint security fundamentals 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: $325,000 - $360,000 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.
Audit, Security GRC
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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Audit & Assurance runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Audit & Assurance and helps run that integrated audit program, plan the audits we add next, and assess the frameworks and scope changes we are considering. About the role You'll help run Anthropic's unified audit program: quarterly audits across SOC 2, HIPAA and the ISO 27000 family including ISO 42001, plus the rest of our certifications, working with our audit firms, our GRC Partners, and control owners across the company. You'll plan new audits as we expand to new frameworks, platforms and regions, and run the gap assessments that tell us what each expansion takes before we commit to it. You'll help build the audit operating model and runbook, and drive automation in the program so evidence is collected once and reused across frameworks, requests reach control owners once, and each audit cycle takes less effort than the last. Building with Claude is a normal part of the job, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone with program management experience who writes clearly, stays calm under deadlines, and likes making a busy program simpler. Key responsibilities - Run the audit program as a program: one integrated plan and calendar across audits and expansions, with milestones, dependencies, risks and decisions tracked, and regular status to GRC leadership and stakeholders - Plan and run the quarterly audits, from scoping through report and findings closeout - Run audit readiness ahead of each fieldwork window: control owner prep, evidence pre-checks and walkthrough dry runs - Scope each audit's boundary with Product and Engineering: which products and deployment paths are in scope, and flag when a launch or new platform changes it - Help build the audit operating model and runbook for a unified audit program, and keep both current as the program grows - Drive automation in the program: evidence collected from source systems, request tracking and audit reporting, with evidence and walkthroughs reused across frameworks - Coordinate audits across frameworks and firms so audit windows line up and control owners are asked for the same evidence once, and drive new ways of automated evidence generation and collection with GRC Engineering - Plan new audits and audit expansions as we commit to them - Run framework and scope expansion evaluations and gap assessments, with a recommendation and an effort estimate leadership can act on - Work closely with control owners and GRC Partners: prepare control owners for audits, get evidence delivered and findings closed, and hand findings that need extended remediation to GRC Partners - Manage day-to-day auditor relationships, and report audit status, findings and program metrics to GRC leadership Minimum qualifications - Several years of program management: running multi-workstream programs with a plan, milestones, dependencies, risk tracking and status reporting to leadership - Several years running external security audits (SOC 2 and ISO 27001 at minimum), on the company side or at an audit firm, including seasons with several frameworks at once - Working knowledge of SOC 2, the ISO 27000 family, ISO 42001 and HIPAA, and where their requirements overlap - Experience leading a gap assessment for a new framework or scope change and presenting the result to leadership - Experience building or improving an audit process: calendars, request tracking, runbooks, roles and responsibilities - Enough technical fluency to understand how evidence is produced in cloud environments and to judge whether a system-generated report is complete and accurate, and to build simple automations with Claude - Clear writing and calm coordination under deadline pressure - Ability to get control owners to deliver on time without authority over them Preferred qualifications - Audit firm experience (Big 4 or a SOC 2 or ISO certification body), especially as a senior or manager on technology clients - Experience adding new frameworks such as PCI DSS, ISO 27701 or 27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) - Have automated evidence collection or audit reporting, or use Claude or other LLMs day to day to plan, track and report program work - Experience with a GRC platform or building lightweight internal tooling You don't need to - Have done everything on this list. The combination is running a global audit calendar well, plus the instinct to make it simpler each cycle - Hold every certification. CISA, CISSP, ISO 27001 Lead Auditor or similar are welcome but not required - Have prior AI industry experience 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: $255,000 - $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.
3P Revenue Accounting & Reporting
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 looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities - Lead the revenue close for cloud service provider Marketplace within a listed company timeline. - Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. - Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. - Perform monthly and quarterly flux analysis and prepare flux decks for leadership. - Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. - Serve as the primary contact for external auditors. - Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. - Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. - Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. - Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. - Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. - Estimate and document reserves, including credit loss (ASC 326). - Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. - Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. - Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. - Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications - Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. - Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. - Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. - Have managed external partner relationships where you depended on their data, and pushed for fixes. - Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. - Have designed or operated SOX controls and supported external audits. - Communicate clearly with accounting, finance, business and engineering teams. - Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications - Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. - A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). - Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. - Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). - Experience with usage-based and subscription revenue models. - Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. - Experience with IPO readiness. - Experience using AI tools to automate accounting and reporting work. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 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.
Executive Director, Chemical Biology
Your work will change lives. Including your own. The Impact You'll Make Recursion is seeking an Executive Director of Chemical Biology to develop and lead chemical biology efforts that bridge multiomic discovery with target ID, including chemical probe design, as we expand our platform into new modalities beyond traditional small molecules (e.g. targeted protein degradation, molecular glues, and other emerging modalities). This is a senior scientific leadership role responsible for setting chemical biology strategy, managing a team of designers, and driving programs that bridge multiomic discovery to target ID and designing our chemical probe library to facilitate target discovery. . You will lead multidisciplinary project teams: partnering closely internally with biology, multiomics platform (high content imaging, RNA etc), computational biologists and data scientists to translate novel target and ligand insights into potent, selective, and developable chemical matter. You'll bring hands-on chemical biology expertise together with the strategic judgment to prioritize programs, manage internal and external (CRO) teams, and build the new capabilities needed to establish new modalities within the portfolio. Recursion's AI/ML-driven Design Platform is a core tool your team will draw on, and you'll play an active role in shaping how computational and generative design approaches are integrated into chemical biology decision-making. This role blends deep technical credibility with people and program leadership. The Team You'll Join You will lead within the Drug Design team as part of the Discovery function in building Recursion's next generation of therapeutic modalities, working alongside computational drug design, medicinal chemistry, biology, data science and platform technology groups that integrate proprietary AI-driven technology with advanced molecular design. The team tackles structurally enabled and non-structurally enabled targets across a diverse range of therapeutic areas, with a growing focus on proximity (e.g. protein degradation, molecular glues), and PPI blockers (e.g. macrocycles). As a leader, you will help define how chemical biology strategy and capability is built out and scaled to impact our portfolio. In This Role, You Will: - Set chemical biology strategy for Recursion based on our multiomics platform, with a focus on linking our proprietary maps of biology to targets using modern chemical biology methods and work with teams to establish the right drug modalities (e.g. degraders, molecular glues) alongside traditional small molecule work - Build, manage, and mentor a team of multiomics chemists, fostering a coaching-driven environment for growth - Establish and manage internal and external (CRO) chemistry teams and networks to execute screening, synthesis, and validation campaigns - Partner closely with biology, target ID teams, structural biology, and computational drug design to align chemical biology strategy with target validation and platform capabilities - Define and align program strategy and go/no-go criteria with senior leadership, factoring in competitive landscape and portfolio priorities - Represent the team in portfolio reviews and governance meetings, and lead technical discussions on molecular design with external collaborators and partners - Contribute to IP strategy and business development activities related to novel chemical matter and new modalities The Experience You'll Need - PhD in chemical biology, chemistry, or related field, with 10+ years of relevant industry experience and demonstrated people leadership - Deep, hands-on track record in chemical probe design — selective inhibitors, proximity approaches such as molecular glue degraders/PROTACs, covalent or activity-based/photoaffinity chemistry - Proven ability to deconvolute phenotypic hits to mechanism via chemoproteomics or equivalent target ID methods - Track record building and scaling a chemical biology function — hiring, mentoring, and developing multiple scientists/managers - Experience setting multi-year technical strategy (e.g. chemical library architecture, probe portfolio direction) rather than executing a single program's plan - Comfortable operating with high ambiguity — translating open biological questions into executable chemistry strategy without a pre-defined target - Executive-level communication: able to represent chemical biology strategy directly to C-suite/board and influence cross-functional senior leaders - Prior experience managing, mentoring, or leading chemists and cross-functional project teams, including internal/external (CRO) team management Nice to have - Direct experience with phenomics, high-content imaging (e.g., Cell Painting), or other image-based screening platforms - Familiarity with how AI/ML-derived phenotypic signatures inform compound prioritization or target nomination - External scientific visibility — publications, conference leadership, or partner/BD-facing technical credibility - Experience contributing to IP strategy or licensing diligence involving novel chemical matter Working Location & Compensation: We are open to candidates who are local or interested in moving to Salt Lake City, Utah ; employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $237,600–$284,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-ES1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion 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, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Engineering Manager, Preparedness
About the Team The Preparedness Engineering team is responsible for building and operating safeguards for frontier model risks, to safely enable advanced capabilities while detecting and limiting harm. About the Role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. 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: - Lead a team of software engineers building detection + mitigation systems for frontier model harms. - Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. - Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. - Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. - Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. - Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. - Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: - Experience building systems in adversarial, fast-evolving environments - Thrive in high context environments - Are comfortable with ambiguity and novelty - Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. - Significant experience leading engineering teams and delivering production systems end-to-end. - Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability. - Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale. - Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus. 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.
Head of GTM Programs 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 Anthropic's GTM Programs team turns our most strategic go-to-market priorities into structured, measurable programs. The team is a core strategic business partner to the GTM organization, driving growth and operational excellence and accelerating the safe adoption of frontier AI across the world's leading enterprises. As Head of GTM Programs, EMEA, you will bring that function to Europe, the Middle East and Africa (EMEA), partnering directly with executive sales leaders, frontline managers, and sellers to understand their needs, then design, launch, and measure the programs that meet them. This is a high-visibility leadership role that combines quantitative rigor with hands-on program execution. You'll work across a diverse group of cross-functional partners, including sales, marketing, enablement, and strategy, to build a connected system of programs that drives measurable pipeline and revenue impact across the region, then adapt those programs as the business evolves. EMEA spans many countries, languages, and buying cultures, so you will also decide what runs once for the region, what is localized, and what is left to country teams. GTM Programs is a new function, and this is an opportunity to build it, not just join it. Every organization is deciding its AI strategy right now, and the programs this team builds shape how our field meets that moment. You'll help define what a well-run program looks like at Anthropic, with high autonomy. Key Responsibilities - Serve as a trusted advisor to EMEA Sales Leadership: bring data-backed insight and recommendations into their operating reviews, including program and resourcing decisions, and shape the strategic initiatives that come out of them. - Analyze the health of the EMEA pipeline across volume, conversion, velocity, and efficiency, identify breakdowns in the funnel such as lead quality, routing, or segmentation, and partner with Revenue Operations to implement solutions. - Shape a consolidated demand generation plan and calendar across EMEA's inbound, outbound, and partner channels, aligning to regional and global sales priorities to meet pipeline generation targets. - Own GTM programs end to end in close partnership with the field: translate leadership priorities into structured programs with clear objectives, owners, and milestones, and carry them from concept through launch, operations, and iteration, with measured uplift as the outcome you're accountable for. - Partner closely with Marketing, Enablement, and Sales Strategy to standardize playbooks and build a unified, end-to-end approach to pipeline generation and progression rather than disconnected initiatives. - Decide what to run once for EMEA, what to localize by sub-region or language, and what to leave to country teams, including outreach and data-protection rules that differ by market. - Introduce AI-driven insights into lead prioritization, forecasting, and opportunity management, partnering with analytics teams to surface predictive signals such as conversion likelihood and deal risk. - Define the measurement plan before a program launches: baseline, targets, uplift metrics, and how results will be attributed to the program. - Instrument every program into the GTM operating cadence, so leadership can inspect results in the same reviews where they run the business. - Package what's working (industry patterns, use cases, activation motions) into repeatable plays that sellers can run without you in the room, and lead program adoption and communication as the sales organization scales. - Build and lead the EMEA GTM Programs team, developing people across countries and time zones. Minimum Qualifications - 10+ year experience in sales programs, sales operations, business development, sales readiness, or marketing within a technology or SaaS environment. - Experience designing and running sales or GTM programs end to end, with the ability to speak to the uplift they produced, not only the activities they ran. - Experience designing and leading demand generation campaigns or programs in direct partnership with field sales organizations, ideally across multiple countries. - Demonstrated analytical and quantitative approach to measuring, reporting on, and optimizing program performance, including familiarity with CRM and pipeline reporting tools (e.g., Salesforce). - Experience leading and developing a team, including across countries and time zones. - Strong written and verbal communication skills, with experience presenting to and influencing senior leadership. - Working knowledge of how data-protection and marketing-consent rules (GDPR, ePrivacy, and national variations) shape outbound and demand generation in Europe. - Track record of driving cross-functional initiatives to completion across teams without formal authority over them. - Comfort working in fast-moving, ambiguous environments and building where no process exists yet. - Excitement about Anthropic's mission to develop AI that is safe and beneficial. Preferred Qualifications - Experience combining sales programs with marketing or sales readiness/enablement functions. - Experience designing measurement or attribution frameworks for GTM motions, such as pipeline sourced and influenced models, activation funnels, or experiment designs like control groups and staged rollouts. - Experience working inside or alongside a sales organization's operating cadence (forecast calls, pipeline reviews, account reviews) and making program results legible within it. - Track record of building and scaling operational frameworks in a fast-paced, matrixed organization. - Experience introducing AI or advanced analytics into sales or revenue workflows, such as lead scoring, forecasting, or predictive deal signals. - Hands-on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume. - Experience leading programs through periods of GTM or organizational change. - Experience in a high-growth AI, ML, or other emerging technology company, and an understanding of how enterprises evaluate, adopt, and scale AI. - Experience as an early hire in a new function or team, helping define how it operates. - Experience with partner and marketplace-led motions. - Fluency in one or more European languages. 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: £195,000 - £225,000 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.
Principal Engineer Capacity/Compute
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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: - Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. - Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. - Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. - Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities - Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. - Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. - Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. - Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. - Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. - Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring - A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. - Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. - Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations - Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. - Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications - Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. - Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. - Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. - Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. - Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. - Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. - Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 - $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.
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