Senior Product Manager - Streamlit

TL;DR

Senior Product Manager (AI): Owning the end-to-end strategy for making Streamlit in Snowflake the gold standard for building and running enterprise-grade data applications and AI agents with an accent on adoption, retention, and monetization across thousands of enterprise accounts. Focus on partnering with the Cortex AI team to define how LLMs and agentic workflows integrate with Streamlit.

Location: US-CA-Menlo Park

Salary: $200K - $287.5K

Company

Snowflake is about empowering enterprises to achieve their full potential — and people too.

What you will do

• 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.
• Lead the charge and work with Sales, Marketing and Engineering to grow the Streamlit in Snowflake business.
• Manage the business outcomes for your area, identifying levers for adoption, retention, and monetization across thousands of enterprise accounts.
• Partner with the Cortex AI team to define how LLMs and agentic workflows integrate with Streamlit, enabling users to build using Snowflake’s native AI primitives.
• Act as the primary interface between the Open Source Streamlit team and the Snowflake Enterprise team to ensure a cohesive "one-Streamlit" experience.

Requirements

• 5+ years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
• A strong understanding of cloud infrastructure and the Python ecosystem; comfortable discussing technical tradeoffs with senior engineers and basic proficiency in writing Python code.
• A proven track record of taking ambitious products to commercial success at scale.
• High-judgment design skills; can empathize with a developer using a CLI/SDK and an analyst using a low-code workspace.
• Data-driven and comfortable using metrics and AI-assisted analysis to identify growth gaps and prioritize a roadmap under ambiguity.
• Resilient, low-ego, and thrive in an environment where you are accountable for end-to-end outcomes.

Nice to have

• Prior experience with Streamlit (OS or Enterprise) or similar Python app frameworks (Shiny, Dash).
• Experience in the AI/ML space, particularly with LLM orchestration or agentic frameworks.
• Background in Marketplace or Native App ecosystems.
• Prior experience at a high-growth developer-centric company (e.g., Applications Infrastructure or a major Hyperscaler).

Culture & Benefits

• Opportunity to own a P&L for one of the fastest-growing areas within the Snowflake AI Data Cloud.
• Be at the cutting edge of the technological shift toward AI-powered applications.
• Work with a highly capable engineering team to capture a market of 10 million Python developers globally.