Anthropic jobs

Enterprise Account Executive Seoul, South Korea About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Korean corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Korea - Build and execute territory plans, identifying high-value opportunities in key Korea industries including financial services, healthcare, technology, and manufacturing - Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements - Identify new use cases and contribute to Korea go-to-market strategy, providing critical feedback to shape product roadmap and regional approach - Translate technical AI capabilities into compelling business value propositions tailored to Korean market needs You may be a good fit if you have: - 8+ years of enterprise sales experience in Koreadriving adoption of emerging technologies with a consultative, solutions-oriented sales approach -

Enterprise Account Executive, DOD/IC Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols - Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments - Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives - Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration - Provide detailed market intelligence

Data Scientist, GTM New York City, NY; San Francisco, CA | New York City, NY 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 part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI - this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities - Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products - Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy - Develop hypotheses and apply rigorous causal inference

Enterprise Account Executive, Transportation & Utilities Tokyo, Japan About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, Transportation & Utilities based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's transportation and utility infrastructure organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them improve operational resilience, optimize asset performance, and deliver safer and more efficient services with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's railway operators, airlines, logistics providers, electric and gas utilities, and water infrastructure organizations - Build and execute territory plans, identifying high-value opportunities across national and regional rail groups, major carriers, electric power companies, and municipal utility providers - Lead consultative sales processes with senior executives - including CIOs, CDOs, COOs, and heads of operations and safety - positioning AI as a driver for predictive maintenance, energy management, operational efficiency, and infrastructure resilience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that meet the stringent safety, reliability, and regulatory standards governing Japan's critical infrastructure sectors You may be a good fit if you have:

Research Engineer, Knowledge Foundations San Francisco, CA 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 Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows - searching, analyzing, and creating across the tools and documents knowledge workers use every day. As that work scales, the systems behind it need to be as rigorous as the research itself. As a Research Engineer on Knowledge, you'll design and run experiments that improve how Claude searches, retrieves, and reasons over information at scale. The work spans environment design, data curation, RL training, evaluation, and the infrastructure that supports it all. You'll move fluidly between these depending on what's blocking progress. You'll partner closely with researchers and other RL teams to ship capabilities that show up directly in Claude's behavior. As our training and evaluations continue to scale, we see a strong synergy between the capabilities our models learn, the tools we build for them to use, and the tools we build for ourselves to understand it all. We own the science behind superhuman epistemics and we ensure the quality of the stack that drives it. We understand that real ownership and impact comes as much through hardening

Applied AI Architect, National Security Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with

Safeguards Policy Analyst, Fraud & Scams Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Safeguards Policy Analyst focused on Fraud & Scams, you will be responsible for designing, building, and executing enforcement workflows that detect and mitigate fraud and scam-related harms on Anthropic's products. You will serve as the subject matter expert on fraud typologies, scam ecosystems, and the threat actors who perpetrate them - translating that expertise into durable and scalable policies. This role sits within the Integrity & Authenticity (I&A) team, You will function both as a policy owner, and work closely with threat investigative and enforcement teams. You will also develop the guidelines that power classifiers, and will be our point of content cross-functional workstreams. No two days will look the same. Important context: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a financial, psychological, or otherwise disturbing nature, including detailed fraud schemes and scam content. Responsibilities: Policy Design & Ownership - Draft, maintain, and iterate on Fraud & Scams policies governing Anthropic's products and APIs, with clarity for both model enforcement and

Mid-Market Account Executive, Tech San Francisco, CA | New York City, NY 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 Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem. You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer's journey, while maintaining human engagement with prospects in the elements of a sales process that can't be automated. Responsibilities: - Run an end-to-end sales cycle, from first outbound to launch - Win new business and expand existing accounts - Build and execute sales strategies that drive quota attainment. Identify market opportunities,

Research Operations, Discovery San Francisco, CA | New York City, NY 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 Our team is organized around the north star goal of building an AI scientist-a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the Role We're seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organization running at full speed. Our science teams are working on some of the hardest and most consequential problems in AI-training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn't just talent: it's the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it. This role sits at the intersection of research operations, technical program management, and product strategy. You'll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team's day-to-day operations. You'll also contribute to science product development-helping translate research directions into product strategy and ensuring our production deployment environments reflect our best configurations. This is

Staff Research Engineer, Discovery Team San Francisco, CA 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 Our team is organized around the north star goal of building an AI scientist - a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers - as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: - Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI - Develop approaches to address long-horizon task completion and complex reasoning challenges

Performance Engineer San Francisco, CA | New York City, NY | Seattle, WA 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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: - Have significant software engineering or machine learning experience, particularly at supercomputing scale - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers Representative projects: - Implement low-latency high-throughput sampling for large language models - Implement GPU kernels to adapt our

Senior Security Software Engineer, Linux Kernel Security - Nodes & Sensors Zürich, CH 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 Detection Platform team is building the next-generation Linux endpoint security system that protects our AI research and production infrastructure. We're looking for a senior engineer to architect and implement node-layer security sensors, develop kernel-based detection systems for ML workloads, and build tooling that leverages Claude to transform how security operations work. This is a high-ownership role on a small team. You'll design systems that run across our rapidly growing fleet with minimal performance overhead, partner closely with security and infrastructure engineers, and help shape the technical direction of endpoint detection at Anthropic. Key responsibilities - Build kernel-level security detections for our AI platform, including eBPF-based sensors for Linux endpoints - Design and implement scalable data pipelines for ingesting and processing security telemetry across our infrastructure - Architect monitoring solutions for production systems that minimize performance impact on ML workloads - Prototype new security tooling and analytics capabilities, including applications of Claude to detection and response workflows - Partner with security and infrastructure teams to translate requirements into reliable, maintainable systems - Contribute to the growth of the Security team through

Customer Success Manager, Higher Education San Francisco, CA | New York City, NY 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 as a Customer Success Manager supporting our Higher Education initiatives. In this role, you'll apply customer success practices to higher education institutions. Anthropic's Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organizations across education, public health, life sciences, economic mobility, and more. As a dedicated Customer Success Manager, you'll be the strategic partner and trusted advisor to universities - helping them harness Claude's full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact. You'll develop genuine partnerships with education institutions gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your education expertise, business acumen, and technical knowledge, you'll serve as a strategic advisor throughout their journey-helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique constraints of institutions and education organizations. You'll help universities scale their AI usage safely and effectively, implementing change management strategies and driving toward impact for students, faculty, and administrators. Responsibilities: - Build

Technical CBRN-E Threat Investigator Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities - Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons,

Biological Safety Research Scientist San Francisco, CA 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 biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviors and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge-balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors. In this role, you will: - Design and execute capability evaluations ("evals") to assess the capabilities of new models - Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers - Analyze safety system performance in traffic, identifying gaps and proposing improvements

Senior Manager, Corporate Accounting San Francisco, CA | Seattle, WA 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 Corporate Accountant to join Anthropic's Corporate Accounting Operations team. Reporting to the Director of Accounting Operations, this person will lead a team of accountants while staying hands-on - reviewing and preparing close materials, setting technical standards, and owning their own portfolio of accounts through close. This is a build role. The successful candidate will write and own the policies and SOPs their team operates against, design the controls framework, and continuously improve the processes underneath it - including using Claude and other tools to automate work that doesn't need to be manual. We are looking for someone who has built accounting infrastructure from scratch in high-growth environments and wants to do it again at one of the most important companies in the world. The role requires an active CPA licence and roughly 10 years of progressive accounting experience combining public company (audit or in-house) exposure with time in a high-growth or startup environment. A Big 4 audit foundation is a strong signal. The role carries direct reports and sits at the intersection of close operations, technical accounting, SOX, process

Software Engineer, Cybersecurity Products San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You'll work across the stack to prototype new ideas and build from the ground up. This role sits at the intersection of research, product, and go-to-market. You'll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Responsibilities - Prototype and build new AI-powered products for cybersecurity - Iterate quickly based on customer feedback and what you learn - Collaborate with research teams to identify and develop new model capabilities for security applications - Engage directly with customers and partners to understand workflows and inform product direction You may be a good fit if you: - Have 7+ years of experience as a software engineer - Experience developing cybersecurity products - Enjoy fast iteration

Research Engineer, Knowledge Team Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: - Designing and implementing from scratch new information architecture strategies - Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures - Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data - Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: - Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using - Have good machine learning research experience - Have experience developing software that utilizes Large Language Models such as Claude - Are results-oriented, with a bias

Research Engineer, Discovery San Francisco, CA 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 Our team is organized around the north star goal of building an AI scientist - a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: - Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments - Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities - Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. - Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks

Engineering Manager, Cloud Safety San Francisco, CA | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Engineering Manager to lead the Cloud Safety team. You will lead your team to scale and optimize Claude to serve the massive audiences of developers and enterprise companies using Claude via Cloud Service Providers (CSPs). You will own safety end-to-end for these services, including API, inference, classifiers, fraud detection, data management and operations. Your team will ensure our Claude is used safely on all CSPs. Your work will increase the scale at which Anthropic operates and accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms. Key responsibilities - Set technical strategy and oversee development of safety features across all Claude CSP surfaces - Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving - Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes - Create clarity for the team and stakeholders in an ambiguous and evolving environment - Take an inclusive approach to hiring and coaching top technical talent, and support a high performing

Technical Program Manager, Cloud Inference San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking an experienced Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry. Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third-party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance. This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation. Responsibilities - Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines,

Technical Program Manager, Inference Performance San Francisco, CA | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Inference, you'll be the critical bridge between our inference systems and the broader organization. You'll drive strategic initiatives across inference runtime and accelerator performance-coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets. This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output. Responsibilities: - Systems Integration & Coordination : Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption. - Performance & Efficiency: Partner with engineering teams to identify optimization opportunities, track performance metrics, and prioritize work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability. - Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams. - Strategic Planning: Own and prioritize the inference deployment roadmap, working closely

Product Manager, API Growth San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for API Growth, you'll drive growth for the Claude Platform (platform.claude.com) - the surface where developers and businesses build directly on Claude. Your efforts will span the entire funnel, driving growth of key API metrics across acquisition, activation, and monetization. You'll work closely with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI. Responsibilities: - Develop and execute a product strategy focused on driving Claude Platform growth metrics such as acquisition, activation, monetization - Lead the ideation, development, and launch of growth features across our API product - onboarding, console, docs, billing, and self-serve upgrade paths - Analyze product metrics and user feedback to identify opportunities and optimize performance - Collaborate with engineering, design, developer relations, and marketing teams to deliver high-impact growth initiatives - Conduct user research to understand customer needs and pain points - Define and track key performance indicators (KPIs) for API growth - Balance rapid iteration with our commitment to AI safety

Enterprise Account Executive, Retail Tokyo, Japan About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail and consumer commerce organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, personalize customer experiences at scale, and strengthen their competitive position with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major retail accounts and expanding existing relationships across Japan's domestic retailers, convenience store chains, e-commerce platforms, and omnichannel brands - Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, fashion houses, and marketplace platforms - Lead consultative sales processes with senior executives - including CIOs, CDOs, CMOs, and heads of supply chain and e-commerce - positioning AI as a driver for demand forecasting, personalization, inventory optimization, and enhanced customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail technology stacks while meeting Japan's data privacy requirements under the APPI framework You may be a good fit if you have: - 8+ years of enterprise