---
title: 'Senior Product Manager - Streamlit at Snowflake'
canonical: 'https://feeny.ai/job/senior-product-manager-streamlit-snowflake-menlo-park-55knzed5ppq5'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Product Manager - Streamlit at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $200k–$288k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/b071b406-6bd0-4def-ba95-380b1cbf6de5

## Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

## ABOUT THE ROLE

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](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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