Staff Product Manager

GitHub, Inc.

10h•Remote

About The Position

The Copilot Intelligence Platform is the layer between frontier AI models and the millions of developers who use Copilot every day. Every suggestion, chat response, and agent action runs through the systems our team builds. As the frontier moves, we decide how and when new model capabilities reach GitHub's products. We work directly with the major frontier model labs, evaluating emerging capabilities and shaping how they're integrated into developer workflows. We own the product and infrastructure that make this possible: model orchestration and routing, capacity and scalability, evaluation systems that define what "good" means for Copilot, and the platform tooling that lets every team at GitHub build AI experiences quickly and safely. We navigate the tradeoffs that come with operating at this layer, including performance, cost, capacity, and quality. We're looking for a Staff Product Manager to help shape where this platform goes next. You'll partner closely with applied scientists, engineering, data science, frontier model labs, GitHub product teams, and our ecosystem partners to set strategy across a broad and technically rich portfolio. You'll drive the architectural and product decisions that determine how Copilot scales, what it's capable of, and how fast every team building on top of the platform can move.

Requirements

8+ years experience in product/service/project/program management, software development, product design, or related field OR Bachelor's Degree in related field AND 6+ years experience in product/service/project/program management, software development, product design, or related field OR equivalent experience
3+ years experience building platform products or developer-facing applications

Nice To Haves

Demonstrated expertise in how AI is transforming software development, with a proven track record of building or integrating AI-driven capabilities.
Experience influencing across broad organizations and working directly with enterprise customers and partners.
Track record of success working with engineering, design, finance, sales, customer success, and marketing.
Passion for GitHub, open source, and the opportunity to redefine how the world builds and secures software.

Responsibilities

Shape what Copilot can do next- Work with frontier model labs, engineers, and product teams to evaluate emerging capabilities, decide what's worth bringing into GitHub, and shape how new model abilities translate into real developer features. Sit at the front edge of what the industry is building and turn it into product.
Set platform strategy- Own the product direction for a core slice of the Copilot Intelligence Platform. Set the strategy that enables the ambition of every product team building on top, balancing what we ship now with the long-term investments that determine how Copilot scales and evolves.
Think in systems- Reason about the platform as an interconnected whole: how model routing affects latency, how capacity decisions shape cost and availability, how evaluation systems feed back into product quality. Find the leverage points where platform investment unlocks the most value across GitHub's AI surface area.
Build for developers and for the teams who build with you- Build for the end-user developers whose experience depends on this platform, and for the integrators who build on top of it: both the internal GitHub product teams shipping Copilot surfaces and the external partners in our open-source and broader ecosystem. Understand the distinct needs of each and design a platform that serves them all well.
Ground strategy in data and lived experience- Proactively dig into usage, performance, and quality data to surface what's working, what's breaking, and where the next opportunity is. Use Copilot daily across the surfaces that rely on this platform so you understand firsthand how platform decisions show up in real developer workflows. Bring both the data and the lived experience into strategic debates.
Raise the ceiling on reliability and scale- Treat availability, latency, capacity, and developer tooling quality as core product metrics. Partner with engineering to keep raising that bar as the platform grows.
Partner and influence across a high-stakes stakeholder landscape.-Work closely with engineering, data science, and GitHub product teams to shape architectural and product decisions that span multiple orgs. Communicate with clarity and conviction up to senior executives across GitHub and Microsoft, where platform decisions shape the direction of every AI product we ship.