Product Manager, Infrastructure

Sierra Sierra · AI Frontier · San Francisco, CA · Product

Product Manager for AI infrastructure platform, focusing on defining and owning the abstractions for agent execution (compute, storage, orchestration, networking), performance, reliability, scale, and developer tooling (APIs, SDKs). The role requires strong systems intuition, end-to-end product ownership, and collaboration with engineering to drive system architecture decisions and enable rapid product iteration.

What you'd actually do

  1. Define the infrastructure platform: Shape the abstractions that power agent execution—including compute, storage, orchestration, and networking layers—making them scalable, reliable, and developer-friendly.
  2. Own performance, reliability, and scale: Define how Sierra systems handle real-time workloads, high concurrency, and enterprise-grade uptime requirements. Set the bar for latency, availability, and fault tolerance.
  3. Design developer primitives and tooling: Build the internal and external interfaces (APIs, SDKs, workflows) that engineers use to deploy, monitor, and iterate on agents.
  4. Drive system architecture decisions: Partner closely with engineering to make tradeoffs across consistency, cost, performance, and complexity. Bring first-principles thinking to infra design.
  5. Enable rapid iteration across the company: Ensure infrastructure accelerates product velocity, not slows it down — enabling teams to ship quickly without sacrificing reliability.

Skills

Required

  • Deep technical product experience
  • Strong systems intuition
  • End-to-end product ownership
  • Excellent collaboration and communication
  • Comfort with ambiguity and pace

Nice to have

  • Experience with distributed systems, infrastructure, or platform engineering (compute, storage, networking, orchestration)
  • Experience building developer platforms, APIs, or SDKs
  • Familiarity with modern AI/ML infrastructure or real-time systems
  • Some coding experience (e.g., Typescript, Go, Python)

What the JD emphasized

  • Deep technical product experience: building highly technical products, ideally across infrastructure, platform, or developer tooling
  • Strong systems intuition: Ability to reason about distributed systems, scalability, latency, and reliability from first principles
  • End-to-end product ownership: Track record of leading products from 0→1 and through scale, working closely with engineering and cross-functional teams