SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Snowflake is seeking a Senior Product Manager to lead strategy and execution for its AI-first Marketplace, transforming data-sharing infrastructure into an intelligence marketplace for autonomous agents, semantic models, and AI-ready data primitives.
In this role, you will operate as a general manager at the intersection of platform engineering, developer ecosystems, and commercial strategy. You will own the end-to-end product lifecycle for third-party agents, Model Context Protocol (MCP) integrations, semantic views, and future AI products. Key responsibilities include:
- Define and socialize the product strategy for Snowflake's AI-first marketplace, aligning product leadership, developer relations, partner engineering, and Go-To-Market teams behind category-defining primitive releases.
- Own the end-to-end product lifecycle for third-party agents, MCPs, semantic views, and emerging AI products.
- Design commercial mechanics as a core product surface, including pricing, packaging, usage-based and outcome-based billing, and partner revenue-share structures.
- Prototype listing workflows, build partner integrations, and leverage advanced telemetry and generative tools to inform roadmap prioritization and evaluate third-party agent performance.
- Drive measurable business impact by owning metrics around partner supply growth, enterprise adoption of AI-first listings, and platform consumption through agentic workflows.
- Serve as the trusted subject matter expert educating and inspiring customer adoption of AI marketplace technologies.
This is a high-visibility role with true general-manager scope on a frontier category in enterprise software. You will work directly with cross-functional engineering and product leaders and have a clear path toward executive product leadership.
REQUIREMENTS:
- 6+ years of product management experience with a track record of bringing AI, developer platform, or infrastructure products from 0-to-1 and scaling to commercial adoption.
- Proven background building two-sided markets (developer platforms, API marketplaces, enterprise app stores, partner ecosystems) with demonstrated success curating supply and driving buyer demand.
- 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, non-human identity/delegation mechanisms) to engage credibly with enterprise architects and developer teams.
- Ability to navigate extreme ambiguity, define new product categories, and execute hypothesis-driven roadmaps without relying on existing templates.
- Relevant industry background in cloud marketplaces, AI platform ecosystems, developer tools, or enterprise SaaS ecosystems (major cloud platforms, AI-native infrastructure vendors, developer infrastructure companies).
