Engineering Manager, Agent Runtime Platform

Anthropic•San Francisco, CA

38d•$1 - $2•Hybrid

About The Position

The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment.

Requirements

10+ years building and operating large-scale platforms or distributed systems
1+ years of management experience in a technical environment, particularly in building platforms or agents at scale
Deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment
Experience with container or VM orchestration at scale
Obsessed with productivity and transforming how we work
Excellent communication skills and enjoy supporting internal partners

Nice To Haves

Engineering management experience on top of a strong IC track record
Experience with harness engineering
Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control
Experience with capacity planning and utilization across multiple cloud providers
Experience working with researchers, engineers and other functional roles

Responsibilities

Own the technical strategy and roadmap, translating goals into concrete execution
Manage day-to-day execution of the team's work
Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment
Stay hands-on: build and ship the runtime platform and tooling
Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management
Build primitives that are composable and reusable across various agents
Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence
Collaborate cross-team, supporting internal teams bringing up their agents