Snowflake Marketplace is the trusted enterprise channel for governed data sharing at scale. This role advances that mission by transforming data-sharing infrastructure into an AI-first intelligence marketplace for autonomous agents, semantic models, remote Model Context Protocol (MCP) servers, and AI-ready data primitives. As Senior Product Manager for the Marketplace, you will own the strategy and execution for making Snowflake the destination where third-party AI agents are built, governed, distributed, and monetized, operating as a general manager at the intersection of platform engineering, developer ecosystems, and commercial strategy. The role offers true general-manager scope on a category at the frontier of enterprise software, working alongside cross-functional engineering and product leaders across core platform capabilities, governance, identity, and business development. For jobs located in the United States, salary and benefits information is available on the Snowflake Careers Site (careers.snowflake.com).
Responsibilities
Define the strategic vision and set and socialize the product strategy for Snowflake's AI-first marketplace; Ship category-defining primitives by owning the end-to-end product lifecycle for third-party agents, MCPs, Semantic Views and future AI products; Design commercial mechanics, including pricing and packaging, usage- and outcome-based billing, and partner revenue-share structures; Operate AI-natively by prototyping listing workflows, building partner integrations, and using telemetry and generative tools to inform roadmap prioritization and evaluate third-party agent performance; Deliver measurable impact by owning business metrics, including partner supply growth, enterprise buyer adoption of AI-first listings, and platform consumption pulled through agentic workflows
Requirements
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, where supply was curated and buyer demand was driven; 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 without relying on existing templates; Experience in cloud marketplaces, AI platform ecosystems, developer tools, or enterprise SaaS ecosystems
Stany Zjednoczone · Menlo Park
