Senior Engineering Manager - Agent Platform, AI Platform

Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. Operate as part of the AI Platform leadership team. Experience leading and growing engineering teams that build and operate platform or infrastructure at scale — managing senior individual contributors and/or managers, with a track record of developing strong engineers. Hands-on experience designing, building, and operating agentic systems in production — agent runtimes and harnesses, tool use, memory, and evaluation — with genuine technical depth, not oversight from a distance. Breadth across business applications: you've built or led agents spanning a range of use cases, enterprise and internal applications (developer tooling, operations, knowledge work) or consumer-facing applications at scale. A strong engineering foundation in distributed systems, cloud, and ML/AI infrastructure — deep enough to lead a senior team's hardest architectural decisions and earn its trust. A track record of owning a platform's charter — setting its direction and holding its scope against pressure to do everything — and making build-versus-partner decisions on a multi-year cost horizon. Cross-organizational credibility: a record of building shared accountability with senior leaders across adjacent platform, infrastructure, and security teams, and navigating ambiguous ownership boundaries. Strong written and verbal communication; comfort with ambiguity; able to lead both 0-to-1 and 1-to-100 work; effective across a distributed (US) team. Experience with the emerging class of agent concerns: agent identity and permissioning, guardrails and safety, and cost governance for LLM and agent workloads. Experience running a platform that other engineers consume as a product — paved paths, migrations, deprecations, and developer experience. Credibility in a relevant open-source ecosystem (agent frameworks, runtimes, or developer tooling).