Senior Product Manager - Interactive Analytics
Snowflake is hiring a Senior Product Manager - Interactive Analytics for a remote role open to applicants in United States. It pays $200k-$288k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The listed pay starts 11% above the typical AI product manager posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, AI agents and product management.
- Level lists 353 other open roles at Snowflake.
AI in this role
Own the product roadmap for low-latency interactive analytics powering AI agents and real-time data applications.
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.
Snowflake is building the world's best AI data platform — and Interactive Analytics is one of our foundational bets in that vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly integrated into the Snowflake data platform.
Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and real-time data applications that the world's most demanding data organizations depend on.
As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data analytics industry — and then you'll build it. This role sits at the intersection of deep database technology and high-stakes product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous.
AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:
Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry
Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advocates
Shape Snowflake's positioning and go-to-market — collaborating with sales, marketing, and developer relations to drive awareness, adoption, and revenue growth
Partner with a large engineering team to translate customer pain and competitive intelligence into technically sound, compelling product decisions.
Define how Snowflake Interactive Analytics powers the emerging world of AI agents and agentic workloads, positioning it as the native low-latency data tier for the next generation of AI applications
Use AI tools daily to prototype, spec, and analyze — moving at a pace that gives Snowflake a compounding advantage
OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:
4+ years of product management experience on database and/or analytics products
Deep technical fluency in database engines — enough to sit with a principal engineer or a demanding customer DBA, understand their workload in detail, identify root causes, and propose meaningful solutions
Hands-on experience with high-concurrency low-latency data products — ideally in BI or streaming analytics (ClickHouse, Apache Pinot, Materialize, Rockset, SingleStore, or similar); OLTP experience is also valued
Strong product instincts and a proven track record of holding a high bar on technical products
Demonstrated ability to influence without authority — you can make the case for bold product changes to skeptical principal engineers, cross-functional partners, and senior executives
Comfort with ambiguity and zero-to-one conditions — the path isn't defined, and that's what makes it interesting to you
Ability and bias to use AI tools to accelerate your work — from prototyping and analysis to spec writing and customer research
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
How we rate this
Senior Product Manager - Interactive Analytics at Snowflake rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $200k
- Typical AI product manager job
- $180k
This posting starts 11% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where database engines was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Analytics, Database Engines, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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