Senior Product Manager - Applied AI

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Product Management

Senior Product Manager for Applied AI at Snowflake, focusing on bringing generative AI and ML to enterprise customers within the Data Cloud. The role involves owning the product lifecycle for AI services, defining roadmaps, and working with engineering teams to deliver solutions. Key responsibilities include cross-functional leadership, customer engagement, commercializing innovation, and shaping business strategy. Requires deep technical fluency in AI paradigms like LLMs and agentic workflows, strong product management experience, and customer empathy.

What you'd actually do

  1. Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development, launch, and the analysis of metrics to ensure a successful impact.
  2. Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects. You will drive execution, partner with design, marketing, and sales to bring products to market, and act as the evangelist for your product vision.
  3. Be the Voice of the Customer: Act as the critical bridge between customer objectives and our technical capabilities. You will engage deeply with users and executives to gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing, high-value problems.
  4. Commercialize Innovation: Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products. You will own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features.
  5. Shape Business Strategy: Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define product strategy and execute on high-stakes business goals.

Skills

Required

  • 7+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud services.
  • Deep technical fluency to confidently lead architectural discussions with senior engineers and have hands-on experience with data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows).
  • Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap.
  • Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges.
  • Exceptional executive presence and communication skills. You can command a room of C-level stakeholders and inspire a team around a shared vision.
  • A "get it done" attitude with a passion for building exceptional products.

Nice to have

  • Experience building and launching products for developers or data scientists.
  • Familiarity with the Snowflake platform and Data Cloud ecosystem.
  • Management consulting experience.
  • Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving focus.
  • Experience in a role that directly supported a professional services or forward-deployed engineering team.

What the JD emphasized

  • agentic enterprise
  • agentic workflows
  • AI Solutions and Services
  • AI services
  • AI within the Data Cloud
  • large-scale AI solutions
  • data science workflows and modern AI paradigms
  • LLMs, vector databases, agentic workflows

Other signals

  • AI-native thinkers
  • reinvent how they work
  • AI as a high-trust collaborator
  • core to how you solve problems
  • accelerate your impact
  • experimental mindset
  • rapidly test emerging capabilities
  • discover simpler, more powerful ways to deliver results
  • redefine the future of how work gets done
  • transformative power of generative AI and machine learning
  • seamlessly and securely within the Snowflake Data Cloud
  • entrepreneurial and customer-obsessed
  • lead the product vision and execution
  • AI Solutions and Services
  • own the end-to-end product lifecycle
  • exciting AI services
  • understanding customer needs
  • defining the product roadmap
  • working with a world-class engineering team
  • deliver innovative solutions
  • make it easy for any user to leverage AI
  • critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy
  • driving the future of AI within the Data Cloud
  • obsessed with building products that are both powerful and simple
  • thrive on turning ambiguity into impact
  • Own the Product Vision & Roadmap
  • Define and articulate a clear, compelling strategy for large-scale AI solutions
  • architect and own the end-to-end product lifecycle
  • deep discovery and detailed requirements
  • hands-on development, launch, and the analysis of metrics
  • ensure a successful impact
  • Lead from the Front
  • Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects
  • drive execution
  • partner with design, marketing, and sales to bring products to market
  • act as the evangelist for your product vision
  • Be the Voice of the Customer
  • Act as the critical bridge between customer objectives and our technical capabilities
  • engage deeply with users and executives to gather insights
  • validate hypotheses
  • ensure the solutions you build solve their most pressing, high-value problems
  • Commercialize Innovation
  • Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products
  • own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features
  • Shape Business Strategy
  • Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define product strategy and execute on high-stakes business goals
  • Deep technical fluency
  • confidently lead architectural discussions with senior engineers
  • hands-on experience with data science workflows and modern AI paradigms
  • LLMs, vector databases, agentic workflows
  • Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap
  • Strong customer empathy
  • experience working directly with enterprise customers to understand their needs and challenges
  • Exceptional executive presence and communication skills
  • command a room of C-level stakeholders
  • inspire a team around a shared vision
  • A "get it done" attitude
  • passion for building exceptional products
  • Experience building and launching products for developers or data scientists
  • Familiarity with the Snowflake platform and Data Cloud ecosystem
  • Management consulting experience
  • Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving focus
  • Experience in a role that directly supported a professional services or forward-deployed engineering team
  • confidentiality and security standards for handling sensitive data
  • data security plan
  • keep customer information secure and confidential
  • Snowflake is growing fast
  • scaling our team to help enable and accelerate our growth
  • people who share our values
  • challenge ordinary thinking
  • push the pace of innovation
  • building a future for themselves and Snowflake
  • How do you want to make your impact?