About the Role
Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship.
This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers.
You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City.
You Will:
- Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision.
- Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective.
- Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem.
- Define and drive the platform metrics that matter.
- Drive alignment across dependent teams, resolve competing priorities, and communicate technical tradeoffs.
- Own launches end-to-end, including migration paths, documentation, and adoption, so capabilities land and stick.
- Partner with tooling customers across engineering, ML infrastructure, MLOps, and data science to ensure the platform serves every developer persona.
- Champion hands-on use of modern AI development tools, setting the bar for how the org builds with agents, MCPs, and context tooling.
You Have:
- 5+ years of product management experience, with a strong technical foundation.
- Hands-on fluency with modern AI development tools and a habit of building with them.
- A working understanding of how modern AI tools work and fit together (agents, MCPs, context, and tooling) and why they matter for developer products.
- A track record building developer-facing or platform products where earning and keeping developer trust was the difference between adoption and failure.
- Strong analytical skills and strong written and verbal communication, with precise articulation of technical customer problems and tradeoffs.
- Demonstrated ability to operate independently and navigate ambiguity.
Bonus Points
- Experience building or supporting AI Developer Infrastructure, ML infrastructure, MLOps, or data and analytics tooling.
- Background in software engineering or a related technical field (you have written and shipped code).