Staff Product Manager

GitHub, Inc.

3h•Remote

About The Position

GitHub is the world’s leading platform for agentic software development, powered by Copilot, used by over 180 million developers and more than 90% of Fortune 100 companies. This role is for a Staff Product Manager to join the Data Services team within Platform, which owns the foundational data platforms GitHub runs on, including relational and non-relational storage, caching, event streaming, search, and object storage. These systems underpin everything from core Git operations to Copilot. The position involves shaping the future of GitHub's data platform, partnering closely with engineering to define strategy across a broad and complex portfolio, driving alignment on architectural decisions for GitHub's scalability into the AI era, and owning the product direction for data infrastructure that hundreds of millions of developers ultimately depend on. GitHub is a remote-first company that offers competitive pay, generous learning and growth opportunities, and excellent benefits.

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 of experience defining product vision and strategy for data infrastructure, cloud platforms, or large-scale distributed systems, and translating complex technical direction into clear priorities and a roadmap.
3+ year experience with data technologies such as MySQL, Kafka, Elasticsearch, Redis, or equivalent managed data services, applied at scale in production environments.
Track record of driving cross-organizational alignment across large engineering organizations, including influencing senior and executive audiences.

Nice To Haves

Master's Degree in a relevant field.
Strong technical foundation with the ability to engage credibly with senior engineers on architecture decisions involving data storage, replication, consistency, and distributed systems tradeoffs.
Experience owning cloud migration or modernization strategy for data infrastructure, including evaluating tradeoffs between scaling self-hosted systems and adopting managed services.
Experience defining product requirements for multi-region data architectures, including per-service consistency models, replication strategies, and data-layer failover design.
Experience defining platform contracts or paved paths for data primitives, enabling application teams to adopt standard caching, search, or event streaming patterns without bespoke infrastructure work.
Experience building product strategy for AI-native data capabilities such as vector search, semantic retrieval, or high-throughput event pipelines that serve both human and machine workloads at scale.

Responsibilities

Define and drive the product vision and strategy for GitHub's data infrastructure, spanning MySQL, Kafka, Elasticsearch, Redis, object storage, and next-generation data primitives.
Define the strategy for evolving GitHub's data platform portfolio, determining where to scale and optimize existing systems and where adopting modern cloud-native services best serves GitHub's reliability and scale requirements.
Lead the product definition for GitHub's multi-region data architecture, driving alignment on per-service consistency models, replication strategies, and data-layer failover design and RTO/RPO tradeoffs.
Drive the product strategy to scale GitHub's data layer by 10x to 100x, ensuring foundational platform capabilities keep pace with AI-accelerated development and next-generation product features.
Define the data model interaction layer and best practices for internal teams building customer-facing applications and features, so product teams can build on data primitives without needing to be infrastructure experts.
Define metrics that measure infrastructure health, migration progress, and reliability outcomes, and use them to drive investment decisions and hold engineering accountable on results.