Jobs / United States / Snowflake INC
Senior Product Manager – Agent Marketplace
Snowflake INC · 🇺🇸 US-CA-Menlo Park
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 428 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 110 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Snowflake INC paid sponsored hires in similar roles3 certified filings for “Product Manager” (Project Management Specialists) in CA: $150k–$165k, median $160k. Most were filed at wage level II (33%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Snowflake INC
The US Department of Labor certified 428 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 110 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Snowflake INC →
About the role
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