Jobs at Anthropic

The role involves conducting empirical research on AI's economic effects, developing methodologies for measurement, and translating findings into policy recommendations. The economist will work cross-functionally and maintain relationships with research partners.

Looking for a staff software engineer to develop the Billing Platform, ensuring data integrity in revenue mechanisms while collaborating with cross-functional teams.

The Claude Evangelist will drive adoption of the Claude Developer Platform among startups, create technical content, and lead developer engagement at startup events.

As a Research Engineer, you will build and maintain data infrastructure to analyze AI's economic impact, collaborate with cross-functional teams, and ensure data integrity and privacy compliance.

Lead 0-to-1 consumer AI product development: identify research-driven opportunities, build prototypes/MVPs, define strategy and roadmap, collaborate with researchers and engineers, and ship consumer products that achieve product-market fit.

Drive enterprise adoption of Anthropic's AI by owning full sales cycles, securing strategic deals, designing sales strategies, expanding markets, informing product roadmaps, and refining sales playbooks to meet revenue quotas.

Manage revenue accounting operations, ensure compliance with revenue recognition, oversee accounts receivable, lead closing processes, and collaborate cross-functionally.

Own end-to-end data and RL environment strategy for domain-specific knowledge work. Source and evaluate tasks and vendors, design rewards and QA to prevent reward hacking, run generalization experiments, and partner with RL research and product teams to improve model capabilities.

Lead design and operation of the end-to-end build, test, merge, and deploy pipeline. Reduce push-to-production latency, build AI-assisted review, improve test reliability, enable progressive rollout and automated rollback, shape CI and repo topology, and partner cross-team on platform, security, and delivery infrastructure.

Lead ownership of developer environments: optimize container lifecycle and cold-start times, design isolation models, build pre-push validation, and partner across platform teams to improve engineers' inner loop, using AI-assisted workflows.

The Commercial Counsel will draft and negotiate commercial agreements, support Go-to-Market teams, and manage legal risks while staying updated on AI developments.

Manage a large portfolio of Commercial and Enterprise customers using scalable customer engagement strategies. Drive adoption and retention through AI-powered processes and cross-functional collaboration.

The Director of Technical Accounting leads M&A and investments accounting, overseeing due diligence, purchase accounting, consolidation assessments, and team development within Anthropic's Finance team.

As a Technical Program Manager for Research, you will define and build programs for research teams, identify opportunities for impact, drive execution of research initiatives, and enhance processes in AI development.

The Incident Response Manager will coordinate incident responses, establish processes, and ensure effective communication across teams during high-stakes situations while fostering a learning-oriented environment.

Lead the API Core team, managing hiring and performance, driving technical strategy for service efficiency and throughput improvements, and collaborating with infrastructure and product engineering teams.

Serve as strategic Customer Success Manager for mission-driven global development partners, driving adoption of Anthropic's Claude products (API, Enterprise, Code). Build relationships, create enablement and change-management programs, monitor usage, quantify impact, surface product feedback, and run quarterly impact reviews to scale AI for social good.

Build and operate identity verification, vetting (KYC/KYB), and access control systems; integrate identity vendors; create monitoring, dashboards, and enforcement tooling to detect misuse and account takeover; collaborate with policy, threat intelligence, enforcement, and go-to-market teams to ensure safe, scoped access to advanced AI capabilities.

Manage node lifecycle for AI infrastructure, optimize health and capacity of hardware, and mentor engineers while driving technical strategy.

Own and operate Kubernetes control plane components, scale the Kubernetes scheduler, build core cluster services, collaborate with teams, and lead incident response.