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STAFF PRODUCT MANAGER

Snowflake Inc.· Enterprise Technology
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US-CA-Menlo Park$236k - $339.2kFull-timePosted 1mo ago

About the role

Staff Product Manager for Enterprise Apps & Agentic Systems driving AI-native products across Finance, People, Legal and other enterprise domains. Hybrid role in US (Dublin, CA or Menlo Park, CA preferred). Owns product problem from discovery through value realization with emphasis on AI-native workflows, governance, and cross-functional leadership.

Responsibilities

  • Set product direction. Develop a clear product vision, strategy, roadmap, and narrative for a meaningful business problem. Define the outcomes that matter, the choices required to achieve them, and the principles that guide trade-offs.
  • Partner directly with the business. Work side by side with business leaders, operators, and end users from problem framing through launch and adoption. Build shared ownership of the problem and the solution rather than taking orders or handing off requirements.
  • Build world-class products. Apply strong product judgment, user-centered discovery, and first-principles thinking to create simple, intuitive products that solve important problems and earn sustained adoption.
  • Redesign workflows end to end. Start with the desired business outcome, not the existing application or process. Decide what should disappear, what should be redesigned, and where software or agents can handle work end to end.
  • Prototype rapidly. Use AI tooling and modern product-development techniques to turn ideas into working prototypes quickly. Put prototypes in front of users, learn from real behavior, and use evidence to decide what to build, change, or stop.
  • Lead AI-native product development. Define and ship production-grade agents and intelligent workflows that use trusted enterprise context and tools, operate within clear guardrails, manage exceptions, explain their actions, and bring people into the loop when judgment is required.
  • Lead the product-engineering partnership. Work closely with engineering, design, data science, security, and platform teams on architecture and delivery trade-offs, including context retrieval, orchestration, tool integration, evaluation, reliability, latency, privacy, and cost.
  • Create alignment through storytelling. Make complex problems and technical possibilities understandable. Communicate a compelling product narrative, facilitate hard decisions, align executives and delivery teams, and keep stakeholders current with clear, concise communication.
  • Influence without authority. Build coalitions across business and technology organizations, resolve competing priorities, influence platform roadmaps, and create momentum in an environment where ownership crosses organizational boundaries.
  • Own adoption and outcomes. Define success measures before launch and drive adoption after launch. Track usage, quality, trust, cycle time, automation, exception rates, decision latency, and business value realized. Use those signals to improve the product and make clear investment decisions.
  • Operate responsibly. Ensure products meet governance, auditability, SOX, data privacy, security, and responsible AI standards, especially with sensitive Finance, People, and Legal data.

Qualifications

  • A track record of building and scaling high-quality software products that users value and that delivered meaningful business impact.
  • Strong product judgment: identify high-value problems, challenge solution-shaped requests, make trade-offs, focus on outcomes.
  • Experience partnering directly with business teams and users to discover problems, test assumptions, shape solutions, and drive adoption.
  • Excellent communication and storytelling skills.
  • Hands-on experience using AI tools to rapidly prototype, test, and refine software solutions.
  • Technical fluency in modern AI and software product development, including LLM and agent patterns, orchestration, tools, retrieval, evaluation, data, APIs, security, and production operations.
  • Experience taking products from discovery through launch, adoption, iteration, and scale.
  • Ability to thrive in ambiguity, create clarity, move quickly, and make hard decisions with incomplete information.
  • Ability to influence across functions without formal authority.
  • Typically 8+ years of product management experience, or equivalent; Computer Science/Engineering degree helpful but not required.

Skills

Required:Product ownership and strategyCross-functional leadershipAI-native product development
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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