Senior Product Manager - Streamlit

Snowflake•Menlo Park, CA
•$200,000 - $287,500

About The Position

Snowflake is seeking a Senior Product Manager to lead the transition of Streamlit from open-source momentum to an enterprise business. The role owns the strategy, growth, and P&L for Streamlit in Snowflake, which enables developers to build, share, and deploy governed, interactive Python applications where their data lives. The goal is to make Streamlit in Snowflake the premier enterprise destination for Python-based data applications and the gold standard for building and running enterprise-grade data applications and AI agents. The Senior Product Manager will work across Sales, Marketing, Engineering, and other Snowflake teams to grow the business and improve adoption, retention, and monetization. The role partners with the Cortex AI team on integrating LLMs and agentic workflows with Streamlit and serves as the primary interface between the open-source Streamlit team and Snowflake’s enterprise organization. The product experience should work well for both developers using a CLI or SDK and analysts using a low-code workspace.

Requirements

  • At least 5 years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
  • Strong understanding of cloud infrastructure and the Python ecosystem.
  • Ability to discuss technical tradeoffs with senior engineers and basic proficiency in writing Python code.
  • Proven track record of taking ambitious products to commercial success at scale.
  • Strong design judgment and ability to understand the needs of developers using a CLI or SDK and analysts using a low-code workspace.
  • Data-driven approach and comfort using metrics and AI-assisted analysis to identify growth gaps and prioritize a roadmap amid ambiguity.
  • Resilience, low ego, and ability to take ownership of end-to-end outcomes.

Nice To Haves

  • Experience with Streamlit (open source or enterprise) or similar Python app frameworks such as Shiny or Dash.
  • Experience in AI/ML, particularly LLM orchestration or agentic frameworks.
  • Background in Marketplace or Native App ecosystems.
  • Experience at a high-growth developer-centric company, such as an Applications Infrastructure company or major hyperscaler.

Responsibilities

  • Own the end-to-end strategy for making Streamlit in Snowflake the gold standard for building and running enterprise-grade data applications and AI agents.
  • Work with Sales, Marketing, and Engineering to grow the Streamlit in Snowflake business.
  • Manage business outcomes and the P&L, identifying levers for adoption, retention, and monetization across enterprise accounts.
  • Partner with the Cortex AI team to define how LLMs and agentic workflows integrate with Streamlit and enable use of Snowflake’s native AI primitives.
  • Serve as the primary interface between the Open Source Streamlit team and the Snowflake Enterprise team to create a cohesive experience.
  • Collaborate with Compute, Networking, and Identity and Access teams to define the end-to-end Streamlit in Snowflake experience.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service