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Senior Product Manager – Agent Marketplace

Snowflake Inc.· Product Management
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Hybrid (US-CA-Menlo Park)$200k - $287.5kFull-timePosted 1w ago

About the role

Senior Product Manager responsible for strategy and execution of Snowflake's AI-first marketplace, focusing on third-party AI agents, MCPs, semantic views, and future AI products within Snowflake Marketplace. Role combines platform engineering, developer ecosystems, and commercial strategy to monetize and govern an agentic enterprise.

Responsibilities

  • Define the Strategic Vision: Set and socialize the product strategy for Snowflake’s AI-first marketplace, aligning product leadership, developer relations, partner engineering, and Go-To-Market teams behind key primitive releases (including AI agents, semantic layers, and remote MCP integrations).
  • Ship Category-Defining Primitives: Own end-to-end product lifecycle for third party agents, MCPs, Semantic Views and future AI Products.
  • Design Commercial Mechanics: Drive monetization design as a core product surface, including pricing and packaging, usage- and outcome-based billing and partner revenue-share structures.
  • Operate AI-Natively: Prototype listing workflows, build partner integrations, and utilize telemetry and generative tools to inform roadmap prioritization and evaluate third-party agent performance hands-on.
  • Deliver Measurable Impact: Own overall business metrics, driving partner supply growth, enterprise buyer adoption of AI-first listings, and platform consumption pulled through agentic workflows.

Qualifications

  • 6+ years in product management, with a track record of bringing AI, developer platform, or infrastructure products from 0-to-1 and scaling them to commercial adoption.
  • Proven background in building two-sided markets—such as developer platforms, API marketplaces, enterprise app stores, or partner ecosystems.
  • Direct experience designing productized commercial mechanics, including meter-based consumption, usage/outcome pricing, committed-spend drawdowns, and multi-sided revenue distribution.
  • Hands-on familiarity with modern AI agent stacks (MCP, agent-to-agent protocols, tool calling, semantic layers, and non-human identity/delegation mechanisms).
  • Ability to navigate extreme ambiguity, define new product categories, and execute hypothesis-driven roadmaps.
  • Experience in cloud marketplaces, AI platform ecosystems, developer tools, or enterprise SaaS ecosystems.

Skills

Required:Product strategy and roadmapEcosystem and marketplace buildingCommercial mechanics and monetizationAI architecture familiarityHypothesis-driven product development
Last updated Oct 15, 2026. Interested? Apply on the company site.

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