Senior Product Manager, Streaming Platform
Snowflake is hiring a Senior Product Manager, Streaming Platform for a remote role open to applicants in Germany. Level rates it ; you can apply on Snowflake.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include product management, distributed systems and streaming platforms.
- Level classifies it as a senior role.
- Level lists 354 other open roles at Snowflake.
AI in this role
Lead product strategy for Snowflake's streaming platform powering real-time data and AI-driven workflows.
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 platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon.
We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines.
If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational.
What You Will Do
Product Vision: Own the product direction, strategy, and roadmap for Snowflake’s streaming capabilities.
Execution: Translate complex customer problems into clear product bets and successfully shipped features.
Engineering Partnership: Collaborate closely with engineering on system design, trade-offs, and execution.
User Focus: Spend time with users to understand what is broken, what is missing, and what matters most.
Design & GTM: Partner with design to ensure advanced workflows are intuitive, and work with GTM teams to launch products that resonate with customers.
Alignment: Drive cross-functional alignment across ingestion, platform, analytics, and AI teams.
Prioritization: Make rigorous prioritization calls grounded in impact, scale, and customer value.
What We Are Looking For
Experience building products in data infrastructure, distributed systems, or real-time platforms.
Strong understanding of streaming systems and event-driven architectures.
Experience working with Flink or similar systems is a strong plus.
Ability to engage deeply with engineers and reason about architecture and design choices.
Comfort working in ambiguity and shaping direction from first principles.
Strong communication skills and a practical, customer-first mindset.
Bachelor’s degree in Computer Science, Engineering, or a related field is required.
Master’s degree is a plus.
Why Snowflake
Snowflake is where the world’s hardest data problems are tackled. You will work on systems that run at scale for thousands of customers, with a real impact on how modern companies operate and build AI-powered applications.
You will join a team that values clarity over complexity, speed with responsibility, and technical excellence. Most importantly, you will have the space and influence to build a platform that customers genuinely depend on. If you enjoy working on hard problems and want to shape how data moves and powers intelligence, we’d love to talk.
Snowflake is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
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, Streaming Platform at Snowflake rates 65 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
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where streaming platforms was part of your work. What did you do?
- Tell me about a project where data infrastructure was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Distributed Systems, Streaming Platforms, and Data Infrastructure. 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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