Why This Job is Featured on The SaaS Jobs
This Senior Product Manager role sits at a particularly relevant intersection in modern SaaS: taking a widely adopted developer tool and shaping how it becomes a governed, enterprise-grade product inside a larger cloud platform. Streamlit’s open-source footprint and Snowflake’s enterprise distribution create a product surface where developer experience, platform constraints, and commercial outcomes meet, which is a common pattern for SaaS companies building durable ecosystems.
For a SaaS product career, the remit signals unusually broad exposure to the full operating model behind a successful product line. Ownership across strategy, growth levers, and business outcomes builds fluency in adoption, retention, and monetization mechanics, while the cross-functional interfaces described reflect how platform SaaS products are actually shipped and scaled. The emphasis on integrating AI primitives also aligns with a growing expectation for PMs to translate emerging capabilities into coherent workflows and measurable customer value.
This role tends to suit product leaders who like operating across technical depth and market clarity, and who are comfortable being accountable for end-to-end decisions rather than narrow feature delivery. It also fits PMs motivated by building for both community-driven developers and enterprise stakeholders, where tradeoffs between simplicity, governance, and scale are constant.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
AS A SENIOR PM AT SNOWFLAKE, YOU WILL:
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.
OUR IDEAL CANDIDATE HAS:
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.
BONUS POINTS:
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).
WHY JOIN THIS TEAM?
This is a rare opportunity to own a P&L for one of the fastest-growing areas within the Snowflake AI Data Cloud. You will be at the cutting edge of the technological shift toward AI-powered applications, working with a highly capable engineering team to capture a market of 10 million Python developers globally. If you want to build the "standard" for how the enterprise interacts with data, this is the role for you.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
