Jobs at Anthropic

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.

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.

Design and ship polished product experiences for Anthropic’s Claude Developer Platform. Collaborate with product managers, engineers, and AI researchers to define product vision, workflows, primitives, and roadmaps. Create high-quality interfaces, prototypes, and designs for complex developer tools and AI capabilities while understanding technical architecture. Work quickly in an ambiguous startup environment, using code and AI tools to prototype, iterate, and improve user trust, consistency, and overall product quality.

Own Anthropic’s direct cash flow forecasting, liquidity planning, balance sheet projections, and capital planning across legal entities and currencies. Partner with FP&A, Strategic Finance, Accounting, Tax, Legal, and business teams on working capital, scenario analysis, investments, hedging, compliance, and executive reporting. Build scalable treasury models, controls, reporting, and automation while supporting investment and market risk desks.

Own full-cycle recruiting for Anthropic’s Communications team, from intake through offer. Partner with senior leaders, source passive communications talent, advise on talent markets and compensation, manage high-touch candidate processes, and turn hiring data into recommendations. The role may also support Brand and Marketing hiring, executive searches, and confidential recruiting. Success requires strong communications recruiting expertise, discretion, data-informed judgment, and the ability to operate effectively in a fast-paced AI company.

Designs and operates large-scale distributed inference systems serving Claude globally. Responsibilities include intelligent routing, load balancing, traffic management, autoscaling, cloud orchestration, deployment pipelines, model serving, accelerator integration, observability, and performance optimization across multiple regions and cloud providers.

Build and ship computer-use and browser-control products across frontend, agent runtime, and backend services. Diagnose agent reliability issues, collaborate with AI researchers, create knowledge-worker workflows, instrument products, analyze usage data, and iterate based on external user feedback. The role requires end-to-end product ownership, full-stack engineering, LLM and agent experience, and comfort operating amid ambiguity.

Owns Anthropic’s marketing measurement framework connecting marketing activity to pipeline, revenue, and product usage. Responsibilities include defining metrics, building data models and dashboards, analyzing funnel performance and attribution with SQL, resolving data quality issues, aligning cross-functional teams, educating stakeholders, and presenting actionable insights to marketing leadership and executives.

Own and build Anthropic’s political law compliance program, including PAC operations, political contributions, pay-to-play screening, lobbying compliance, gifts and ethics reviews, and related corporate compliance workflows. Manage outside counsel and vendors, develop training and controls, partner with Legal, Policy, Finance, and Government Affairs, and lead AI-assisted compliance intake and case-management processes.

Design and ship polished, user-centered AI product experiences and complex workflows. Collaborate with product managers, engineers, researchers, and stakeholders to define product vision, roadmaps, and feature capabilities. Create UI primitives, prototypes, and high-quality interfaces that build trust in AI technology. Work comfortably across design, code, and prototyping while operating effectively in a fast-paced, ambiguous startup environment.

Own Anthropic’s Microsoft co-sell motion by creating joint sales plays, mapping target accounts, connecting sellers, managing Azure Marketplace transactions, tracking pipeline, escalating blockers, and reporting performance to executives. The role also leads a major Microsoft initiative and brings field insights to product and go-to-market teams.

Own partner marketing for Anthropic’s highest-performing global and regional systems integrators. Develop joint marketing plans, executive programs, campaigns, announcements, messaging, enablement materials, and customer proof. Coordinate with alliances, product marketing, field marketing, events, and agencies; manage partner funding; track pipeline and campaign ROI; represent Anthropic at partner events; and scale successful practices across the broader partner network.

Build scalable software systems for AI safety, including abuse detection, monitoring, automated enforcement, internal dashboards, and layered defenses. The role surfaces abuse patterns to research teams, supports model hardening, and collaborates with operational teams. Candidates should be proficient in Python and TypeScript, work across the stack, communicate effectively with nontechnical stakeholders, and ideally have experience in trust and safety, fraud detection, adversarial inputs, or AI/ML safeguards.

Build backend infrastructure for Anthropic’s trusted access programs, including identity verification, customer vetting, access control, safety configuration, misuse monitoring, enforcement tooling, account-compromise mitigation, dashboards, alerting, and internal administration systems. Collaborate with policy, enforcement, threat intelligence, product, research, and go-to-market teams while integrating third-party identity verification and data enrichment vendors.

Own Anthropic’s privacy incident management program, serving as incident commander and driving detection, response, remediation, post-incident reviews, trend analysis, and systemic improvements. Coordinate engineering, security, infrastructure, product, legal, executive, and privacy stakeholders; establish incident rotations, track corrective actions, improve alert fidelity, maintain playbooks, define KPIs, support regulatory communications, and lead privacy training and tabletop exercises.

Own cross-functional go-to-market initiatives for the Chief Commercial Officer’s office, driving workstreams from planning through delivery. Responsibilities include executive and Board materials, strategic analysis, priority tracking, risk escalation, cross-functional coordination, customer and account-team communications, and temporarily managing initiatives without clear ownership until they transition to permanent teams.

Own enterprise accounts and revenue outcomes through new-logo acquisition and early expansion. Generate outbound pipeline, run high-velocity sales cycles, engage technical and executive buyers, negotiate agreements involving technical evaluations, security reviews, and procurement, and partner with Product, Applied AI, and Engineering to improve Anthropic’s scaled enterprise sales playbook.

Own revenue outcomes for a named portfolio of global system integrator and strategy consultancy accounts. Develop account strategies, build executive relationships, create firm-specific business cases, manage complex multi-quarter sales cycles, close lighthouse partnerships, and expand adoption across practices, regions, and use cases. Collaborate with Product, Applied AI, Engineering, and Partnerships to shape offerings and establish repeatable enterprise sales motions.

Build core software systems for datacenter lifecycle management, including sites, designs, equipment, bills of materials, and construction progress. Partner with datacenter, energy, supply chain, and research teams to understand workflows, consolidate fragmented data, integrate industry tools, and ensure permissions, auditability, and data quality. Deliver user-focused products iteratively to accelerate compute infrastructure deployment.

Build and rapidly prototype full-stack applications that demonstrate emerging AI capabilities. Collaborate with research teams, users, and external partners to validate product concepts, run structured experiments, iterate on user experiences, and document insights. Provide feedback on model capabilities and help transition successful prototypes into full product teams while adapting across initiatives and shifting priorities.