Senior Product Manager - Streamlit

Snowflake•Menlo Park, CA

39d

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. Streamlit has become a defining force in the Python ecosystem, recently surpassing one million monthly active developers who use the Streamlit open-source library to build data applications. At Snowflake, we are turning that momentum into the premier enterprise destination for Python-based data applications. Streamlit in Snowflake allows developers to build, share, and deploy governed, interactive applications directly where their data lives. We are looking for a Senior Product Manager to lead this transition from massive open-source momentum to an enterprise business. In this role, you will be the Product Manager of a critical product line, owning the strategy, growth, and P&L for Streamlit in Snowflake. You will bridge the gap between a beloved open-source community and the world’s most sophisticated enterprise customers, ensuring that building a data app in Snowflake is as easy as writing a few lines of Python.

Requirements

5+ years of Product Management experience in B2B SaaS, developer platforms, or cloud infrastructure.
Technical Robustness: A strong understanding of cloud infrastructure and the Python ecosystem. You are comfortable discussing technical tradeoffs with senior engineers and have at least a basic proficiency in writing Python code.
A Growth Mindset: A proven track record of taking ambitious products to commercial success at scale.
Dual-Lens UX Focus: High-judgment design skills. You can empathize with a developer using a CLI/SDK and an analyst using a low-code workspace, ensuring the "it just works" experience for both.
Analytical Rigor: You are data-driven and comfortable using metrics and AI-assisted analysis to identify growth gaps and prioritize a roadmap under ambiguity.
High Ownership: You are resilient, low-ego, and thrive in an environment where you are accountable for end-to-end outcomes, good or bad.

Nice To Haves

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).

Responsibilities

Define the Mission: 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.
Drive Massive Growth: Lead the charge and work with Sales, Marketing and Engineering to grow the Streamlit in Snowflake business.
Own the P&L: Manage the business outcomes for your area, identifying levers for adoption, retention, and monetization across thousands of enterprise accounts.
Architect for AI: 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.
Collaborate Across Boundaries: Act as the primary interface between the Open Source Streamlit team and the Snowflake Enterprise team to ensure a cohesive "one-Streamlit" experience. You will also collaborate with Compute, Networking, Identity and Access teams at Snowflake to define the E2E Streamlit in Snowflake experience.