Head of Business Technology Engineering

San Francisco, CA | New York City, NY · San Francisco · USD 485,000-625,000 / year · 6+ years experience · Hybrid · Posted Sep 22, 2026

At a glance

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic is hiring an engineering leader to run the Business Technology Engineering organization across two tracks: Platforms and Forward Deployed.
The role involves leading a global org of engineers to build internal platforms, collaboration tooling, and agentic workflows centered on Claude.
The executive will partner on defining roadmaps, building relationships with functional leaders, and scaling the engineering team.

Lead and scale a global org of engineers; hire, level and develop the leads under you.
Partner, develop, and execute a year-plus roadmap for how Anthropic's business functions work with Claude, and the success metrics that go with it.
Run the Platforms track: reliability, velocity and scale of Claude Support and the platform layer that every employee depends on.
Run the Forward Deployed track: engagement portfolio, prioritization across functions, handoffs to durable owners, and adoption that actually moves.
Be the technical executive partner to the leaders of Legal, Workplace, Comms, Product Ops and Product Support.
Partner with Labs and Product on dogfooding: feed load-bearing signal back and ship internal builds that become external product patterns.
Represent how Anthropic runs internally to Enterprise customers alongside GTM.
Set the engineering bar: production-adjacent builds, eval rigor, reusable patterns, responsible internal deployment with real data and real permissions.

12+ years in software engineering and 6+ years leading engineers, including at least 3 years managing managers and at least one org of 20+ across multiple domains that you structured yourself
Run internal-tools, business-systems or platform engineering at a company that added functions faster than it added engineers
Lead through technical judgment, going from an agent architecture to its eval design to its failure modes with your engineers
Can walk a General Counsel, a Head of Workplace or a room of senior engineers through a trade-off, make a recommendation, and bring them to a decision
Can hold a high bar on craft while saying no to low-leverage work
Want real ownership of how a frontier AI lab runs itself on its own models with real data, real permissions, and real people on the other end
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Field relevant to the role as demonstrated through coursework, training, or professional experience

Forward deployed, software engineering or applied AI leadership experience with external customers.
Product management experience or a track record partnering closely with PMs and analysts.
Experience with corporate systems (Salesforce, Workday, Google Workspace, Slack) at platform scale.
Have built the career rubric or leveling framework for a new kind of engineering role, or stood up a forward deployed function from zero

Location-based hybrid policy: expect all staff to be in one of our offices at least 25% of the time, though some roles may require more time in offices.