Latest Engineering Management jobs at Anthropic

Leads the Review Tooling team in building investigation, enforcement, analytics, and privacy-aware platforms that help human reviewers and Claude scale safety workflows. Requires engineering management experience, a full-stack or platform background, and cross-functional work with policy, operations, legal, and data science teams.

Leads a research engineering team developing biological safety evaluations, datasets, and classifiers for frontier AI models. The role combines technical direction and people management with deep life-sciences, machine-learning, experimentation, and biosecurity expertise.

Leads teams building and operating the control plane for Anthropic’s large-scale inference fleet, improving routing, capacity, performance, reliability, and cost. Requires deep production-systems expertise, engineering management experience, and strong cross-functional leadership.

Leads the team responsible for Anthropic’s compute scheduling platform, job-launch tooling, and fleet-efficiency systems. The role requires engineering management experience, a hands-on software engineering background, and expertise in large-scale infrastructure and Kubernetes scheduling.

Leads architecture, development, and optimization of global Order-to-Cash revenue systems, integrating billing, ERP, sales, and financial platforms. The role requires extensive revenue systems experience, strong data engineering and API expertise, and the ability to lead ERP transformations and technical teams.

Leads policy design teams defining and mitigating consumer harms across AI products, partnering with research, engineering, product, legal, and external stakeholders. Requires leadership experience, deep consumer-harm expertise, frontier-model fluency, and strong judgment in high-consequence decisions.

Leads and grows a platform security engineering team responsible for firmware integrity, hardware roots of trust, attestation, secure boot, and host hardening across AI compute infrastructure. Requires extensive systems security experience, people management, and hands-on knowledge of firmware, hardware, and OS security.

Leads and develops an applied AI engineering team delivering reliable, customer-facing agents, integrations, and scientific infrastructure for pharma and biotech organizations. The role combines hands-on engineering, partner ownership, cross-functional product influence, and responsible AI deployment in life sciences.

Leads Anthropic’s Network Security Engineering team, setting strategy and managing engineers who build secure-by-default controls across cloud providers and AI data centers. The role requires extensive engineering management experience, hands-on network security expertise, Kubernetes networking knowledge, and a bachelor’s degree or equivalent experience.

Leads a small team responsible for the architecture, reliability, security, automation, and delivery of Anthropic’s global corporate campus and edge networks. The role requires 10+ years of enterprise networking experience, people management, and deep expertise in network operations and infrastructure.

Leads Anthropic’s Forward Deployed Engineering organization, hiring and developing engineers while setting technical standards for enterprise AI deployments. The role combines people leadership with hands-on architecture, customer engagement, operational process building, and close partnership with Product, Engineering, Sales, and Engagement Management.

Leads the London-based Connectivity engineering team building reliable infrastructure for MCP, OAuth, token management, and enterprise tool access. The role requires software engineering management experience, a backend or platform engineering background, and expertise operating distributed systems at scale.

Leads the engineering team responsible for Claude’s search platform, spanning indexing, retrieval, ranking, serving, and search quality. The role combines engineering management, product direction, large-scale production operations, and hands-on technical leadership.

Lead the Evals Infrastructure team at Anthropic building large-scale distributed systems for model evaluation, orchestration, and trustworthy metrics that inform launch decisions for frontier AI models. Requires strong distributed systems experience, Python/Rust proficiency, and people management skills with a focus on measurement quality and AI safety.

Lead and build Anthropic's Growth Engineering team to drive user acquisition, activation, and retention through technical experimentation, A/B testing frameworks, and data-driven optimization. Requires strong full-stack background, prior growth engineering leadership experience, and cross-functional collaboration with product, marketing, and data science.

Engineering Manager responsible for the Agent Runtime Platform at Anthropic, leading strategy, execution, and hands-on development of secure, scalable compute environments for AI agents. Requires 10+ years in large-scale platforms/distributed systems and management experience building platforms or agents.

Lead a senior team building and maintaining Anthropic's high-traffic marketing websites (anthropic.com and claude.com). Own full-stack web engineering including CMS architecture, publishing pipelines, design systems, launch experiences, and internal tooling that empowers non-engineers. Requires 10+ years software engineering and 5+ years managing in brand/marketing/design engineering organizations, with strong frontend expertise.

Lead and grow an engineering team building enterprise-grade features and infrastructure to make Claude ready for large-scale deployments at Fortune 500 companies. Partner with product, sales, and customer success to translate enterprise requirements into scalable technical solutions.

Lead the Review Tooling engineering team building investigation, review, and enforcement systems that help humans and Claude investigate potential harms and take enforcement actions across Anthropic's platforms.

Lead an engineering team building AI-powered cybersecurity products, focusing on prototyping, shipping, and scaling solutions. This role involves technical leadership, customer engagement, and architectural decisions across the full stack.

Manage a team of ML and distributed systems engineers building research tools and production finetuning infrastructure. Drive prioritization, recruiting, coaching, and process design to accelerate research iteration.

Engineering Manager leading teams to optimize ML inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.