--- title: 'Senior Product Manager – Agent Marketplace at Snowflake' canonical: 'https://feeny.ai/job/senior-product-manager-agent-marketplace-snowflake-menlo-park-3s7yv9h4svrm' type: 'job' last_seen: '2026-10-16' --- # Senior Product Manager – Agent Marketplace at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $200k–$288k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/snowflake/3c565761-4ce8-40f4-a346-1997b117afbc ## Job description At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Marketplace is the trusted enterprise channel for governed data sharing at scale. This role advances that mission into the next paradigm shift: 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 a Senior Product Manager for the Marketplace, you will own the strategy and execution for making Snowflake the definitive destination where third-party AI agents are built, governed, distributed, and monetized. You will act as a general manager operating at the intersection of platform engineering, developer ecosystems, and commercial strategy—connecting partner innovation directly to enterprise customer adoption. Interested in our recent momentum? Check out our H1 2026 update on[Snowflake Marketplace & Agentic AI Growth](https://www.snowflake.com/en/blog/snowflake-marketplace-agentic-ai-growth/) for context on where we're heading and the foundation you'll be building on. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: - 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 (GTM) teams behind key primitive releases (including AI agents, semantic layers, and remote MCP integrations, etc.) – and be the trusted subject matter expert to educate and inspire our customers' adoption of these technologies . - Ship Category-Defining Primitives: Own the 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 advanced 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. OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE: - Product Experience: 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. - Ecosystem Building: Proven background in building two-sided markets—such as developer platforms, API marketplaces, enterprise app stores, or partner ecosystems—where you successfully curated supply and drove buyer demand. - Commercial Architecture Mastery: Direct experience designing productized commercial mechanics, including meter-based consumption, usage/outcome pricing, committed-spend drawdowns, and multi-sided revenue distribution. - Technical Depth in AI Architecture: Hands-on familiarity with modern AI agent stacks (MCP, agent-to-agent protocols, tool calling, semantic layers, and non-human identity/delegation mechanisms) to engage credibly with enterprise architects and developer teams. - First-Principles Problem Solving: Ability to navigate extreme ambiguity, define new product categories, and execute hypothesis-driven roadmaps without relying on existing templates. - Relevant Industry Background: Experience in cloud marketplaces, AI platform ecosystems, developer tools, or enterprise SaaS ecosystems (e.g., major cloud platforms, AI-native infrastructure vendors, or developer infrastructure companies). Why Join Our Team at Snowflake? This position offers true general-manager scope on a category at the absolute frontier of enterprise software—defining how third-party AI agents are commercialized and deployed at enterprise scale. You will work directly alongside cross-functional engineering and product leaders across core platform capabilities, governance, identity, and business development. As the voice of Snowflake’s agent ecosystem, you will lead high-visibility bets, shape the commercial model for the agentic enterprise, and build a career path toward executive product leadership. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com) ## About Snowflake ## Company Overview - **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies. - **Entity Type**: Public (NYSE: SNOW) - **Headquarters**: Bozeman, Montana, United States - **Founded**: 2012 - **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results) ## Core Business - **Primary Industry**: Enterprise software, cloud data platform - **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs - **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page) ## Products & Services - **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP). - **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications. - **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications. ## Market Standing - **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites). - **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor. - **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here). - **Growth Signals**: - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com)) - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024 - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024 - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring - Revenue range $1B–$5B indicates strong scale ## Competitive Advantages - **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in. - **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos. - **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator). - **Strong Ecosystem**: Data marketplace and extensive partner network. ## Strategic Focus - **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud. - **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth. - **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.” ## Why Work Here - **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO). - **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings). - **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring. - **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns. - **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand. ## Sources 1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en) 2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life) 3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm) 4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired) 5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba) 6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user ## Other roles at Snowflake - [Incident Response Engineer](https://feeny.ai/job/incident-response-engineer-snowflake-bay-area-jqa55c6gc1cs) — Bay Area, CA - [Enterprise Account Executive (Telco)](https://feeny.ai/job/enterprise-account-executive-telco-snowflake-tokyo-trj2h30qa5h3) — Tokyo, Japan - [Staff Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/staff-software-engineer-engineering-systems-continuous-integration-snowflake-h2940jng26sc) — Bellevue, WA - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-snowflake-jakarta-30gzv9k1hzs9) — Jakarta, Indonesia - [People Systems Analyst](https://feeny.ai/job/people-systems-analyst-snowflake-dublin-vgnrhrqe0h3t) — Dublin, CA - [Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/software-engineer-engineering-systems-continuous-integration-snowflake-bellevue-qj1ggt0n8p4d) — Bellevue, WA - [Principal Forward Deployed Engineer II, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-ii-frontier-engineering-snowflake-menlo-park-kbdnwf9dh7ek) — Menlo Park, CA - [Principal Forward Deployed Engineer I, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-i-frontier-engineering-snowflake-menlo-park-wzb965xmsew9) — Menlo Park, CA - [Senior Solution Engineer - GCC](https://feeny.ai/job/senior-solution-engineer-gcc-snowflake-bangalore-rk8h5367fa0c) — Bangalore, India - [Enterprise Account Executive, Observability](https://feeny.ai/job/enterprise-account-executive-observability-snowflake-seattle-ds17m2fbsd2c) — Seattle, WA