About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is fundamentally reshaping how enterprises use AI, moving it from experimental tooling to a trusted, native capability of the AI Data Cloud. At the heart of this transformation are Cortex AI Functions, which simplify the complexity of unstructured data analysis into simple, SQL-native primitives (like Complete, Classify, Extract, Sentiment, Transcribe) that run directly where data lives. We are looking for a Senior Product Manager to join our Menlo Park team. In this role, you won’t just be adding features; you will be the lead architect for how AI is operationalized at a massive scale. You will own the vision for the next generation of multimodal AI functions—enabling our customers to process text, images, video, and audio as easily as they query a table today. You will bridge the gap between cutting-edge LLM research and production-grade enterprise software.

Requirements

  • 5-8+ years of Product Management experience, with a proven track record of shipping complex cloud infrastructure, database internals, or AI/ML platforms.
  • Deep AI Fluency: A strong understanding of modern AI paradigms, including LLM context windows, prompt engineering, vector embeddings, and the nuances of multimodal processing (OCR, audio-to-text, etc.).
  • Technical Depth: Proficiency in SQL and a solid understanding of database internals or distributed systems. You should be comfortable discussing API contracts, latency trade-offs, and tokenization with senior engineers.
  • Customer Obsession: Experience working directly with Fortune 500 customers to solve high-value business problems using AI.
  • Scale Mindset: You have experience maturing products to handle massive scale (processing billions of tokens or petabytes of unstructured data) while maintaining high availability.
  • Education: Bachelor’s or Master’s degree in Computer Science, Math, or a related technical field (MBA or PhD preferred).

Nice To Haves

  • Hands-on experience with Document AI, LLM Fine-Tuning, or Agentic Frameworks.
  • Experience in SQL dialect design or contributing to data standards.
  • Prior experience as a heavy SQL developer, data scientist, or database architect.

Responsibilities

  • Define the Future Architecture: Lead the long-term vision and strategy for Cortex AI Functions, moving beyond individual task-specific functions toward a cohesive, multimodal AI orchestration layer.
  • Own High-Stakes Delivery: Drive the roadmap for mission-critical AI primitives, including text completion, classification, document parsing, and transcription. You will ensure these functions are high-performance, cost-predictable, and enterprise-secure.
  • Pioneer Multimodal Integration: Partner with engineering to evolve the SQL language (AISQL) to support new data types (FILE, AUDIO, IMAGE) and agentic workflows that allow analysts to build complex AI pipelines without writing a single line of Python.
  • Drive 0-to-1 & 1-to-N Initiatives: Identify emerging AI patterns—such as agentic RAG, automated PII redaction, or real-time document intelligence—and turn them into scalable, GA-ready product offerings.
  • Cultivate the Ecosystem: Engage with Snowflake’s largest, most sophisticated customers and top-tier model providers to ensure our platform offers best-in-class performance and the latest LLM innovations.
  • Cross-Functional Leadership: Act as the "CEO" of your product area, influencing roadmaps across the Query Engine, Security, Governance, and UI/UX teams to ensure a seamless "it just works" experience.
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