Group Product Manager - Internal AI Platform

At Coinbase, we are uncompromising on our mission to increase economic freedom worldwide. The bar is high, the environment is intense, and we build at scale.

As Group Product Manager on the AI Foundations team, you will own the overarching product strategy, vision, and execution roadmap for the core AI platform primitives that every product and engineering team at Coinbase depends on. Your portfolio encompasses the company-wide LLM Gateway, model selection architectures, Model Context Protocols (MCPs), knowledge and context primitives, model evaluation (evals) frameworks, and AI serving infrastructure. You will define how Coinbase builds, governs, and scales autonomous and assisted AI capabilities—converting complex AI infrastructure into reliable, secure, high-leverage tools that accelerate internal developer productivity and operational efficiency across the enterprise.

Key Responsibilities

• Multi-Year AI Platform Vision: Define and drive the multi-year product vision for Coinbase’s AI platform capabilities, evaluating emerging LLM architectures, agentic frameworks, and industry shifts to guide capital and engineering investments.
• End-to-End AI Foundations Roadmap: Own the end-to-end roadmap and core performance metrics across LLM gateway routing, context retrieval primitives, integration frameworks, model serving, and automated evaluation suites.
• Internal Developer Experience & Adoption: Build self-serve developer tools, standardized documentation, and developer friction-reducing APIs to drive seamless adoption of AI primitives across all Coinbase product pods.
• Model Governance Strategy: Formulate and enforce Coinbase's enterprise model governance model—evaluating, integrating, and routing LLM calls across cost efficiency, inference latency, generation quality, and security dimensions.
• Cross-Functional Executive Leadership: Partner directly with Engineering, Information Security, Legal, Compliance, and Finance leads to ensure AI platform infrastructure adheres strictly to regulatory standards, data privacy, and responsible AI governance.
• Executive Conviction & Narrative: Articulate complex technical strategy, capital allocation needs, and platform trade-offs to C-suite and VP-level stakeholders to build alignment around high-stakes infrastructure bets.

Requirements

Product Leadership & AI/ML Platform Depth

• 10+ years of total product management experience, with 5+ years specifically focused on AI/ML platforms, developer tooling, or core infrastructure products serving engineering organizations.
• Platform Primitive Track Record: Proven history of defining, launching, and scaling platform primitives or developer-facing infrastructure products that achieved wide organizational adoption.
• Deep Technical AI Fluency: Deep technical understanding of LLM architectures, model serving infrastructure, prompt engineering, evaluation systems, Model Context Protocols (MCPs), and agentic workflows—with the technical depth to evaluate architectural trade-offs alongside principal engineers.
• Cross-Functional Governance: Demonstrated success leading high-stakes technical initiatives across engineering, security, legal compliance, and finance within fast-moving, highly regulated environments.
• Executive Influence: Exceptional narrative framing and strategic storytelling skills to build consensus among senior leadership around complex technical roadmaps.
• Responsible AI Integration: Practical expertise utilizing generative AI tools responsibly, maintaining human oversight to deliver business-ready outcomes while optimizing workflow cost and quality.

Total Rewards & Benefits

• Compensation & Equity: Annual base salary range of $243,865 – $286,900 USD + Coinbase equity grants + annual performance bonus eligibility.
• Healthcare & Wellbeing: Comprehensive medical, dental, and vision health coverage packages.
• Retirement & Financial: 401(k) retirement plan with employer matching options.
• Surge Culture & Connection: Dedicated travel budget and accommodations provided for quarterly in-person team "surges."