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.
As a Senior User Researcher at Snowflake, you’ll shape what we build and how customers experience it. You’ll work alongside product, design, engineering, and marketing leads to set priorities, make tough calls, and bring ideas to market. Your deep understanding of customer needs and business goals will make you a trusted partner in those decisions.
This role calls for deep research craft, strong business judgment, and fluency with AI. You’ll know when to move quickly, when to dig deeper, and how to turn what you learn into better outcomes for Snowflake’s customers.
What you’ll doPartner with product, design, engineering, and marketing leads to set priorities that make a meaningful difference for Snowflake’s customers.
Become an expert on your customers’ needs and goals, your product area, and the business objectives your team is working toward.
Lead qualitative and quantitative research, choosing the methods and level of rigor each decision demands.
Make product and go-to-market decisions alongside your partners. Work through tradeoffs, build alignment, and carry decisions through launch and adoption.
Combine customer research, product usage data, and prior findings to identify opportunities and understand what needs to change.
Identify where AI can strengthen your research, apply it deliberately, and hold the results to a high standard.
5+ years of industry user research experience, with examples of decisions that changed because of your work and the customer or business outcomes that followed.
Deep experience across qualitative and quantitative methods. You can explain how you chose an approach, what its limits were, and why the evidence was sufficient for the decision.
A track record of earning the trust of cross-functional leads and working with them through difficult product or go-to-market tradeoffs.
Experience connecting customer needs to product and business goals, including identifying opportunities that weren’t apparent from the initial question.
Experience using product usage data alongside primary research to reach a more complete understanding of a problem.
Examples of AI applications you’ve put into practice in your research work—and the judgment you used to decide where they belonged.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
- 5+ years of industry user research experience
- Deep experience with qualitative and quantitative research methods
- Ability to explain research approach, limitations, and evidence sufficiency
- Experience influencing product or go-to-market decisions and demonstrating customer or business outcomes
- Experience building trust with cross-functional leads and navigating product or go-to-market tradeoffs
- Experience connecting customer needs to product and business goals
- Experience identifying opportunities beyond the initial research question
- Experience combining product usage data with primary research
- Practical experience applying AI in research and exercising judgment about its use
- Ability to follow confidentiality and data security standards
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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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
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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