Hiring: STAFF PRODUCT MANAGER Company: Snowflake Location: Menlo Park, CA Job Posted Time: 2026-09-12 10:23:17 Employment Type: Hybrid Target Skills & Keywords : LLM, React, Snowflake About the job Experience: •Typically 8+ years of product management experience, or equivalent experience building and scaling software products. A degree in Computer Science, Engineering, or a related field is helpful but not required. •8+ years of product management experience, or equivalent experience building and scaling software products. A degree in Computer Science, Engineering, or a related field is helpful but not required. Required Skills: •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. Qualifications: •A track record of building and scaling high-quality software products that users value and that delivered meaningful business impact. Experience should demonstrate product ownership, not only program delivery, implementation, or application administration. •Strong product judgment: the ability to identify the highest-value problem, challenge solution-shaped requests, make trade-offs, and focus teams on outcomes. •Excellent communication and storytelling skills. You can simplify complexity, create a compelling point of view, write clearly, present with confidence, and align people around a direction. •Hands-on experience using AI tools to rapidly prototype, test, and refine software solutions. You are comfortable learning new tools and turning an ambiguous idea into something users can react to. •Technical fluency in modern AI and software product development, including LLM and agent patterns, orchestration, tools, retrieval, evaluation, data, APIs, security, and production operations. You do not need to be an engineer, but you must be able to lead an informed technical conversation and make sound product trade-offs. •The ability to thrive in ambiguity, create clarity, move quickly, and make hard decisions with incomplete information. •The ability to influence across functions and organizational boundaries without relying on formal authority. •Operational familiarity with Snowflake and the Data Cloud ecosystem. Compensation: •$236,000 - $339,200 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!