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.
For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications.
We're seeking a structured, technically grounded Senior Product Manager to own several key features and capabilities within this charter. You will bring product insight and clear execution to our GenAI-powered engine, ensuring your projects directly align with Snowflake's higher-level growth goals.
AS A SENIOR PRODUCT MANAGER, YOU WILL :Own Feature Direction & Alignment: Provide clarity, conviction, and insight for your owned features. Ensure your roadmap and projects directly align with the broader company strategy and migration goals.
Balance Technical Constraints: Deeply understand customer migration needs (such as data types, ETL pipelines, and post-migration validation). Weave technical constraints into product decisions, carefully balancing engineering effort, customer value, and feasibility.
Execute with Transparency: Help your engineering team prioritize effectively, explaining the clear rationale behind technical trade-offs. Keep cross-functional stakeholders updated on status with precise, succinct communication—ensuring there are "no surprises."
Drive with an MVP Mindset: Partner with engineering to foster a high-velocity culture focused on speed and unblocking customer pipelines. Define and ship MVPs to select customers to quickly validate core hypotheses and iterate based on real-world feedback.
Understand GTM & Enablement: Learn how your migration features are taken to market. Understand the required collateral, enablement pathways, and partner ecosystems (Professional Services and GSIs) to ensure your features are successfully adopted.
Analyze Metrics & Insights: Track usage and health metrics for your features. Conduct regular data analysis to deliver insights and make data-driven decisions that push our north star metric forward: reducing overall customer migration time.
Contribute to the Team Culture: Act as a mentor to other employees, step up to help solve team-wide issues (such as quality or process optimization), and participate as a key interviewer to help scale the PM organization.
6+ years of enterprise product management experience, with a proven track record of independently running features through the full product lifecycle.
Solid technical foundation: Strong familiarity with data ecosystems (databases, SQL platforms, data engineering, and ETL workloads) and the ability to factor technical limitations into feature design.
Developer/Partner focus: Experience building or working with developer tools, APIs, or data platforms where user ergonomics and clarity are critical.
GenAI / LLM familiarity: Practical exposure to or strong understanding of delivering AI-powered features (e.g., code translation, developer co-pilots, semantic validation, or working with frameworks like LangChain).
Strong collaboration skills: Ability to build relationships across functions (Engineering, Professional Services, Partners) and leverage direct and indirect influence without shutting others out.
Joining the Migrations product team at Snowflake offers an exceptional opportunity to be at the forefront of data and application modernization, directly impacting customer success by enabling the strategic leveraging of the Snowflake AI Data Cloud. You'll tackle complex, high-value challenges, building essential products and APIs that simplify intricate data ecosystem migrations—from ETL pipelines to applications—for our customers and partners. Your contributions will directly accelerate the adoption of Snowflake, driving significant value and cementing our customers' investment in a modern, AI-ready future.
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
Skills Required
- 6+ years of enterprise product management experience
- Proven track record running features through full product lifecycle
- Solid technical foundation with databases, SQL, data engineering, and ETL workloads
- Experience building or working with developer tools, APIs, or data platforms
- Practical exposure to or strong understanding of GenAI / LLMs (e.g., code translation, co-pilots)
- Familiarity with frameworks like LangChain
- Strong cross-functional collaboration and stakeholder management skills
- Ability to analyze usage and health metrics and make data-driven product decisions
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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