Jobs at Anthropic

Build and operate production data and planning systems to track, attribute, and forecast compute capacity and cost. Develop ingestion pipelines into BigQuery, observability tooling, and Kubernetes-native scheduling/placement features. Drive efficiency programs, reconcile multi‑provider billing, and produce actionable capacity plans. Collaborate across research, infrastructure, inference, and finance; own SLOs, on-call, and product-quality data surfaces.

Lead and deliver large-scale distributed infrastructure projects end-to-end. Make architectural decisions, drive cross-team alignment, partner with research/product teams, ensure reliability, scalability, and security, set technical standards, improve operational processes, and mentor other engineers.

As a Data Scientist, you will drive data-informed decisions at Anthropic by analyzing product usage, conducting causal inference, and collaborating across teams to enhance developer platform performance.

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.

As a Staff Infrastructure Engineer, you'll define and drive strategies for cloud-based compute clusters, ensuring secure, reliable, and scalable infrastructure. Responsibilities include lifecycle management, collaborating with cross-functional teams, and mentoring engineers.

Build and maintain scalable AI-powered developer tools across front-end and back-end stacks. Collaborate with developers and researchers to improve UX and model capabilities, experiment with new AI-assisted coding techniques, and support integrations like notebooks, VS Code plug-ins, CLIs, and containerized environments.

Lead internal communications for Core Tech, advising executives, translating technical work into clear narratives, planning all-hands and AMAs, anticipating communications around launches/incidents/org changes, and protecting sensitive security material while improving signal and reducing noise across channels.

Lead design and implementation of privacy-preserving architectures and infrastructure for large-scale AI training and inference. Implement privacy-enhancing technologies, partner with researchers and product teams, translate regulatory requirements into technical controls, conduct privacy threat modeling and reviews, and build tooling and governance for data discovery, access controls, lineage, and lifecycle management.

Build and own tax-specific integrations, tooling, and pipelines connecting billing, ERP, and data warehouse systems. Implement AP tax engine, SOX-aware IPE and reconciliation tooling, vendor handoffs, and internal tax products. Partner with Billing, Data, Tax, and Product teams and apply AI tools to automate tax processes and provide audit-ready evidence pipelines.

Serve as a technical product engineer advising customers on integrating Claude and LLMs into production products. Lead discovery, prototypes, eval frameworks, workshops, code reviews, and deployments while contributing patterns and documentation to product and engineering teams. Travel occasionally for customer support and represent Anthropic at events.

Lead Anthropic's crisis management program: build response plans and playbooks, serve as Incident Commander during activations, run tabletop exercises and after-action reviews, coordinate cross-functional response with Legal, People, IT Security, and Facilities, monitor threats, and support enterprise resilience and AI integration into incident response.

Build and own claude.ai's serving and agent execution platform: sandboxed compute for safe code execution, state management for long-running agent tasks, delegated auth, observability for agent actions, and partner with product and research teams to design and ship scalable, secure infrastructure.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

As a Solutions Architect, you will advise government agencies on integrating LLM solutions, guiding them through the adoption process and ensuring technical alignment with business goals.

The Performance Engineer will analyze system performance, evaluate model outputs, build observability tools, and partner with teams to optimize throughput, latency, and correctness in AI systems.

Lead and scale GovTech sales organization, develop go-to-market strategies, build relationships with federal partners, and achieve revenue targets.

Manage engineering efforts to improve AI model performance, oversee project execution, and guide team members in a dynamic environment.

Own end-to-end enablement for the Claude Developer Platform: build demos, hands-on labs, and self-service resources; deliver and scale live technical training; coach technical sellers; stress-test features with product; and measure content effectiveness to improve field readiness.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Lead and mentor a small product design team while contributing hands-on to end-to-end product design. Rapidly prototype, craft polished UIs, collaborate with PMs, engineers, and researchers, establish design standards, and shape product strategy for AI tools used by millions.