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.
Lead the Interventions team on the Safeguards group at Anthropic. Own the systems that activate when safety detections fire, driving high-stakes production reliability, measurement-backed decisions, and cross-functional tradeoffs between safety, UX, and performance to enable safe model deployment.
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 the Safe Change team building Anthropic's continuous deployment, configuration management, and feature-flagging platforms to enable safe, frequent production changes. Requires prior hands-on engineering experience and 5+ years managing infrastructure or platform teams.
Lead the Research Data Platform team at Anthropic as technical lead. Set direction for data systems and canonical datasets that researchers rely on, own end-to-end pipelines and platform components, and drive adoption through close collaboration with research teams. Requires experience building scalable data platforms and setting technical direction.
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 a team of Applied AI Engineers deploying Claude for Life Sciences at top pharma and biotech organizations. Hands-on manager responsible for technical success of strategic deployments, building agent-ready scientific infrastructure, and translating field learnings into product improvements.
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.
Lead the UI Platform engineering team building shared infrastructure, components, and tooling that power Claude.ai across web, mobile, desktop, and extensions. Requires 10+ years engineering experience and 5+ years leading teams with deep expertise in React, Next.js, and TypeScript.
Leads analytics engineering team building scalable data pipelines and models for product metrics. Partners with Data Science, Product, and Engineering; requires 5+ years managing data teams and expertise in SQL, Python, dbt.
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.
Engineering Manager leading teams to optimize inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.
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.
Lead the Interventions team on the Safeguards group at Anthropic. Own the systems that activate when safety detections fire, driving high-stakes production reliability, measurement-backed decisions, and cross-functional tradeoffs between safety, UX, and performance to enable safe model deployment.
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 the Safe Change team building Anthropic's continuous deployment, configuration management, and feature-flagging platforms to enable safe, frequent production changes. Requires prior hands-on engineering experience and 5+ years managing infrastructure or platform teams.
Lead the Research Data Platform team at Anthropic as technical lead. Set direction for data systems and canonical datasets that researchers rely on, own end-to-end pipelines and platform components, and drive adoption through close collaboration with research teams. Requires experience building scalable data platforms and setting technical direction.
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 a team of Applied AI Engineers deploying Claude for Life Sciences at top pharma and biotech organizations. Hands-on manager responsible for technical success of strategic deployments, building agent-ready scientific infrastructure, and translating field learnings into product improvements.
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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.
Lead the UI Platform engineering team building shared infrastructure, components, and tooling that power Claude.ai across web, mobile, desktop, and extensions. Requires 10+ years engineering experience and 5+ years leading teams with deep expertise in React, Next.js, and TypeScript.
Leads analytics engineering team building scalable data pipelines and models for product metrics. Partners with Data Science, Product, and Engineering; requires 5+ years managing data teams and expertise in SQL, Python, dbt.
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.
Engineering Manager leading teams to optimize inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.