Jobs at Anthropic

The ML Infrastructure Engineer will develop and scale AI safety systems infrastructure, optimize machine learning pipelines, and ensure reliable system performance while collaborating with research teams.

Lead and grow an engineering team that builds and operates interventions between detection systems and users. Own roadmap, reliability, incident response, SLOs, cross-functional tradeoffs, measurement/evals, and production deployment across products and clouds to ensure safe model behavior.

Design and build real-time risk decisioning and tooling to prevent payments fraud. Implement fraud signals at scale, manage dispute and chargeback workflows, monitor metrics (loss, dispute, approval, false positives), lead investigations into emerging fraud patterns, and collaborate cross-functionally with finance, support, legal, data science, and external payment partners.

Build and maintain the shared web platform for Claude.ai: shared UI components, BFF APIs, build/deploy pipelines, and observability. Improve developer velocity, performance, reliability, and documentation to enable other product teams to ship quickly and reliably.

Own and operate Anthropic's Bay Area hardware labs: receive, stage, rack, cable, power and cool equipment; bring up servers/accelerators (firmware, BMC, OS, network); manage procurement, inventory, and RMAs; coordinate vendors/contractors and smarthands; build custom debug setups and lightweight tooling; document playbooks to enable remote teams.

Lead technical accounting for complex infrastructure and energy contracts, ensuring financial statement accuracy and compliance with relevant accounting standards.

The Research Engineer will enhance RL training infrastructure, streamline research processes, and collaborate with teams to improve model deployment efficiency.

The Product Manager will enhance developer productivity by managing build systems, CI/CD pipelines, and overseeing the developer experience in AI-assisted development, ensuring the efficient code deployment process across engineering teams.

Design, build, and maintain integrations between ERP and financial systems using iPaaS; develop APIs, webhooks, and authentication flows; support ERP implementation, monitoring, and error handling; expand into Claude-powered AI automation and data pipelines using Airflow, dbt, and cloud data warehouses to enable reliable financial reporting and automation.

Build and productionize threat discovery infrastructure: ingestion pipelines, automated detection systems, YARA rule tooling, external CTI integrations, behavioral analytics, and investigator-facing tooling to scale investigations and reduce false positives.

Join the Web Product team to develop features for Claude.ai, transform user interaction, and enhance AI collaboration. Full-stack work across frontend and backend.

Lead valuation frameworks and ROI analyses for data and product partnerships. Support deal leads with negotiation strategy, build dashboards and scalable partnership processes (sourcing, contracts, tracking), maintain benchmark libraries, and liaise with Research, Product, Finance, and cross-functional teams to optimize partnership lifecycle and portfolio health.

Lead the strategy and execution to bring Claude Tag to new collaboration surfaces. Define interaction models, own roadmap and external partnerships, drive adoption from design partners to large-scale rollouts, and collaborate closely with engineering on product and model behavior.

Lead and grow the Search Platform team building indexing, retrieval, ranking, and serving infrastructure for Claude. Own platform strategy, search quality, evaluation, and production reliability. Balance product and research demands, collaborate across product, research, and infrastructure, perform design reviews and incident follow-ups, and recruit and retain senior engineers.

Build and rapidly prototype full‑stack applications that bring frontier AI into non‑software workflows. Partner with researchers, domain experts, and users to design, test, and iterate product concepts, run structured experiments, gather feedback, and translate model capabilities into usable tools for frontline professionals. Contribute across Labs initiatives and document learnings to guide productization.

Own vision, strategy, roadmap, and execution for research-driven AI products. Partner with research and engineering to productize models, identify high-potential use cases, synthesize user insights, and ship model capabilities that deliver real-world value.

The Software Engineer will develop AI-powered cybersecurity products, iterating based on feedback, collaborating with research teams, and engaging with customers to inform product development.

The Scaled Enterprise Account Executive will generate pipeline, manage high-velocity sales cycles, and establish relationships with enterprise accounts, focusing on new customer acquisition and expansion while working closely with technical and business stakeholders.

Lead and build an Influence Operations & Surveillance threat intel team to detect, investigate, attribute, and disrupt state-linked information manipulation and surveillance misuse. Hire and manage investigators, develop automated detection (abuse signals, clustering, coordinated-network detection), conduct cross-platform attribution, engage external partners, and drive public and partner-facing reporting to inform safety-by-design.

As a Technical Program Manager, you'll coordinate infrastructure programs, enhance developer productivity, ensure system reliability, and foster cross-team collaboration.