Senior Product Manager (Streamlit)

Location: Hybrid, US-CA-Menlo Park, United States

Salary: $200K–$287.5K

Company

Snowflake is developing Streamlit in Snowflake as an enterprise platform for building, sharing, and deploying governed Python-based data applications and AI agents where the data resides.

What you will do

• Own the end-to-end strategy, mission, growth, and P&L for Streamlit in Snowflake.
• Make Streamlit in Snowflake the standard platform for enterprise-grade data applications and AI agents.
• Partner with Sales, Marketing, and Engineering to drive adoption, retention, monetization, and commercial growth across enterprise accounts.
• Work with the Cortex AI team to define LLM and agentic workflow integration using Snowflake’s native AI capabilities.
• Bridge the Open Source Streamlit and Snowflake Enterprise teams to create a cohesive product experience.
• Collaborate with Compute, Networking, and Identity and Access teams on the end-to-end product experience.

Requirements

• 5+ years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
• Strong understanding of cloud infrastructure and the Python ecosystem, with basic Python coding proficiency and the ability to discuss technical tradeoffs with senior engineers.
• Proven track record of taking ambitious products to commercial success at scale.
• Strong design judgment and the ability to understand both CLI/SDK developers and analysts using low-code workspaces.
• Data-driven approach to identifying growth gaps and prioritizing a roadmap under ambiguity, including AI-assisted analysis.
• Resilience, low-ego collaboration, and accountability for end-to-end outcomes.

Nice to have

• Experience with Streamlit, either open source or enterprise, or similar Python application 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, applications infrastructure company, or major hyperscaler.

Culture & Benefits

• Work in a fast-moving environment with an experimental mindset and emphasis on AI-native ways of working.
• Collaborate across open-source, enterprise, engineering, sales, marketing, and AI teams.
• Operate in a low-ego culture that values challenging ordinary thinking and accelerating innovation.