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Senior Product Manager

Metrics Recruitment
On-site
San Francisco, California, United States
Product Manager

Metrics Recruitment is partnered with a leading AI Γ— Web3 infrastructure company building the foundational layer for decentralized AI. Backed by top-tier investors and led by a world-class technical and research team, this company is creating a new category at the intersection of artificial intelligence and decentralized networks.

We are searching for a Senior Product Manager to own the product strategy and execution for the core components that make decentralized AI possible.

This is a rare opportunity to build foundational infrastructure that will power the next generation of decentralized AI applications from verifiable inference engines to on-chain autonomous agents.


Preferred Location

The Bay Area or within close flight distance


The Opportunity (About the Role / About You)


As a Senior Product Manager for AI Infrastructure, you will own the product strategy and execution for the core components that make decentralized AI possible. You will define the developer experience for storing, publishing, and computing on massive AI datasets and models on-chain.

This role sits at the intersection of cutting-edge AI, blockchain scalability, and ecosystem growth. You will work directly with world-class engineering and research teams to build the foundational platform that will host the next generation of decentralized AI applications, from verifiable inference engines to on-chain autonomous agents.


What You’ll Accomplish


Define the Vision

Establish and evangelize the product vision and roadmap for the company’s AI Infrastructure layer, including data availability, storage, and compute primitives for AI.

Own the Developer Journey

Deeply understand the needs of AI developers and researchers entering Web3. Design and prioritize APIs, SDKs, and tools that abstract away blockchain complexity and provide a seamless experience for building AI applications.

Drive Ecosystem Strategy

Identify and prioritize key use cases (e.g., AI training data markets, verifiable inference, decentralized GPU compute) that will drive adoption. Partner with business development to onboard and support strategic ecosystem partners.

Execute with Precision

Work hand-in-hand with engineering to translate product requirements into actionable technical specs. Manage the product backlog, prioritize features, and own the delivery of high-impact capabilities from conception to launch.

Measure and Iterate

Define key success metrics for the AI Infrastructure platform. Analyze usage data, gather developer feedback, and iterate rapidly to improve product-market fit and developer satisfaction.

Be the Market Expert

Serve as the internal expert on AI/ML infrastructure trends, competitor landscapes, and the evolving needs of the decentralized AI community.


What You Bring


  • 5+ years of product management experience, with a proven track record of shipping complex, technical B2B or developer-focused infrastructure products
  • Strong technical background with a solid understanding of AI/ML concepts (models, training, inference, datasets) and/or distributed systems and cloud infrastructure
  • Experience with blockchain technology, Web3, and a strong point of view on the intersection of AI and decentralization
  • Exceptional ability to articulate a clear vision, strategy, and priorities to both technical and non-technical audiences
  • Demonstrated skill in gathering and synthesizing user requirements from developers and translating them into a cohesive product plan
  • Data-driven and user-obsessed approach to decision-making and product iteration
  • Excellent communication, storytelling, and stakeholder management skills


Nice to Haves


  • Direct experience as an ML engineer, data scientist, or in building AI/ML platforms
  • Deep knowledge of the modular blockchain landscape, data availability layers, or decentralized storage solutions
  • Experience bringing a developer platform from early-stage to scale, managing technical community relationships
  • Knowledge of cryptography (e.g., zk-proofs) as it relates to verifiable AI