Principal Product Manager, Platform

GitHub is hiring a Principal Product Manager to build secure, scalable platform capabilities for its developer ecosystem and enterprise customers. The role defines platform and ecosystem strategy, drives adoption and investment decisions, and partners with engineering, applied science, research, design, and business teams to bring AI-powered experiences to market.

Responsibilities:

• Build the platforms, APIs, and enterprise capabilities that power GitHub's next generation of developer and AI experiences, while enabling a thriving ecosystem of partners, integrators, and developers to extend and build on top of GitHub
• Leverage telemetry, customer signals, business insights, and usage data to prioritize investments and inform strategic decisions
• Collaborate closely with engineering, applied science, design, and business stakeholders to define and execute the product strategy for key platform and ecosystem initiatives
• Partner closely with engineering, applied science, and research teams to bring AI-powered platform experiences to market
• Drive sound technical decisions through strong engineering partnerships and technical credibility
• Move comfortably between strategy and execution, balancing long-term vision with rapid delivery

Requirements:

• You are a highly technical, data-driven systems thinker with experience building enterprise-grade platform capabilities (e.g., governance, security, and platform guarantees)
• Significant experience working on AI-powered products and bringing machine learning or AI capabilities to customers
• Demonstrated success driving platform adoption, ecosystem growth, and large-scale product initiatives
• Deep understanding of developer ecosystems, APIs, SDKs, and partner integration models
• 10+ years experience in product/service/project/program management, software development, product design, or related field
• Bachelor's Degree in related field AND 8+ years experience in product/service/project/program management, software development, product design, or related field
• equivalent experience
• Experience building enterprise-grade platform capabilities (e.g., governance, security, and platform guarantees) for AI-powered and/or developer-facing products
• Background in applied AI, machine learning, data science, or closely related technical disciplines
• Experience leveraging data-driven decision making to inform product strategy and investment prioritization