Jobs at Anthropic

Own product enablement for Anthropic’s global sales organization. Build training, certification, demos, technical talk tracks, solution guides, and competitive positioning that help sellers become expert Claude users and effectively engage technical and business buyers. Partner with Product, Product Marketing, and Applied AI on launch readiness, anticipate enablement needs, and establish feedback loops between customers, field teams, and product stakeholders.

Own full-cycle recruiting across General and Administrative functions, managing high-volume and strategic searches for multiple hiring managers. Use data, systems, AI, and automation to prioritize requisitions, maintain healthy pipelines, identify bottlenecks, and scale repeatable processes. Advise stakeholders on candidate profiles, compensation benchmarks, market conditions, and assessment criteria while protecting candidate experience and cultural alignment.

Own strategy and operations for Anthropic’s Forward Deployed Engineering team, including annual planning, headcount and capacity modeling, business reviews, KPI reporting, commercial and partner economics, organizational design, and cross-functional initiatives. Build models, dashboards, and automated workflows using SQL, Claude Code, and AI agents while partnering with Finance, Legal, Revenue Operations, Sales, Product, Research, and Applied AI.

Own the operating P&L and near-term forecast for Anthropic’s datacenter infrastructure partnerships. Lead site-level financial analysis, budget-versus-actual reviews, cost-reduction initiatives, and operating model decisions. Partner with infrastructure teams, datacenter expansion leaders, and third-party operators to manage lease, power, and operational spending, operationalize budgets, and reduce infrastructure risk.

Advise governments, AI Safety Institutes, and multilateral institutions on frontier AI capabilities, risks, evaluation, and adoption. Develop demos, pilots, prototypes, and evaluation suites; lead technical onboarding, workshops, architecture, and Claude integrations. Collaborate with policy, product, research, and engineering teams to design safe, reliable solutions for public missions, including cybersecurity. Build international partnerships and communicate complex AI concepts to technical and non-technical stakeholders.

Partner Solutions Architect responsible for strengthening Anthropic’s relationships with global and regional system integrators and cloud partners. The role develops joint generative AI solutions, creates reference architectures, supports strategic customer deals, enables partner technical teams, leads technical events, troubleshoots complex issues, and gathers product feedback. Candidates need customer-facing architecture experience, cloud architecture expertise, familiarity with LLM tools or machine learning, strong communication skills, and fluency in Japanese and English.

Own customer evidence and storytelling strategy for Anthropic’s major product launches and company priorities. Identify customers who can validate key messages, develop proof-point libraries, create stories across channels, and support sales enablement. Partner with Product Marketing, Sales, Brand, Creative, Communications, Legal, executives, and customer leaders to secure approvals and shape launch narratives. The role requires strong writing, interviewing, cross-functional influence, technical fluency, and rapid execution.

Lead strategic finance for Anthropic's machines (chips and accelerators). Own capacity economics, evaluate hardware deals, build and run the machines FP&A function, produce hardware forecasts and cash flows, partner with engineering, accounting, treasury, and deal teams to inform hardware ROI and investment decisions.

Lead finance for accelerator compute investments: build detailed bottoms-up financial models, budgeting, forecasting, variance analysis, and capacity planning. Translate technical compute dynamics into financial frameworks, identify optimization opportunities across cloud and chip economics, and partner with engineering and research to inform investment decisions and implement scalable financial planning tools.

Design, build, and operate distributed systems supporting reinforcement learning at frontier scale. Responsibilities include scheduling, data movement, storage, networking, fault tolerance, autoscaling, observability, automation, and performance optimization across large accelerator fleets. The role requires debugging complex distributed failures, preserving training correctness, collaborating with researchers, and creating resilient systems that continue operating through hardware failures and changing workloads.

Develops reinforcement learning algorithms, model architectures, and experimental infrastructure for frontier-scale training. Responsibilities include scaling RL across model size, context length, and compute; diagnosing numerical, algorithmic, and systemic failures; optimizing performance and cost; and managing end-to-end large-scale runs. The role requires rigorous experimentation, distributed training expertise, quantitative modeling, and strong programming across the ML systems stack.

Manage complex enterprise deals and build scalable approval processes supporting revenue growth and financial discipline. Responsibilities include profitability modeling, pricing and discount analysis, deal structuring, risk assessment, policy development, cross-functional coordination with sales, finance, legal, and compliance, and reporting on deal strategy metrics.

Serve as the finance partner for Anthropic’s Public Benefit and Global Affairs teams. Lead annual, in-year, and multi-year planning; develop funding frameworks; evaluate grants, loans, philanthropy, and policy commitments; recommend resource allocation; establish milestone-based funding; define impact measurement; and build scalable spend categorization, reporting, workflows, and financial processes.

This role involves delivering analytics for Finance & Strategy, developing data pipelines, and producing insights to inform leadership decisions.

Owns the design and operation of a core go-to-market funnel domain in Salesforce, including lifecycle stages, process rules, data models, routing, ownership, forecasting, automation, and integrations. Partners with GTM leadership, RevOps, and developers to translate business needs into system solutions. Builds declarative Salesforce configurations, writes technical specifications, and leads discovery, testing, enablement, and adoption measurement across customer lifecycle processes.

Serve as a pre-sales Applied AI solutions architect supporting system integrators and cloud partners. Build technical partnerships, develop enterprise GenAI solutions and reference architectures, unblock strategic customer deals, lead technical enablement and partner events, troubleshoot complex issues, and provide product feedback. The role requires strong cloud architecture, LLM or machine learning familiarity, technical communication, stakeholder management, and fluency in Korean and English.

Serve as a technical advisor helping customers design, prototype, evaluate, and deploy products powered by Claude and LLM APIs. Responsibilities include architecture guidance, customized pilots, evaluation suites, technical workshops, code reviews, cross-functional coordination, and sharing implementation insights with Product and Engineering. The role also involves customer travel, conference speaking, and technical writing focused on AI applications, safety, and reliability.

Build and deploy AI systems for life sciences research institutions. Partner with scientific and engineering teams to integrate Claude into research workflows, develop MCP servers, benchmarks, agent skills, and domain-specific infrastructure, and identify deployment challenges involving heterogeneous data and auditability. Create documentation and technical content that enables partners to self-serve and scale successful solutions across the life sciences ecosystem.

Lead Anthropic’s state and local government affairs across Western states. Build relationships with legislators, governors’ offices, attorneys general, agencies, and local officials; track AI legislation and regulation; represent company positions; develop partnerships and policy campaign messaging; manage lobbyists and advisors; and coordinate with policy, communications, legal, and executive teams. Regular regional travel is required.

Build and operate secure, reliable cloud infrastructure, storage systems, and data pipelines for specialized legal and privacy workloads. Translate legal, privacy, and security requirements into scalable, auditable architectures; manage chain of custody and data integrity; partner with Legal, Privacy, Security, Research, and Infrastructure teams; and deliver production systems under fixed deadlines. The role also requires advising nontechnical stakeholders and extending shared infrastructure for novel legal requests.