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Senior Product Manager - AI/ML
AI in this role
Own the roadmap and strategy for agentic analytics and AI/ML capabilities in a high-performance database platform.
ClickHouse is the fastest-growing database in the OLAP space, and AI is reshaping how developers and enterprises interact with their data. From ClickHouse Agents and AI Functions to the Remote MCP Server, LibreChat, and Langfuse, AI/ML capabilities are rapidly becoming a core pillar of the ClickHouse Cloud experience and a key growth vector for the platform.
We are looking for a Senior Product Manager to own core areas of our agentic analytics experience. You will work at the intersection of large language models, developer tooling, and high-performance analytics, shaping how organizations let agents query, reason over, and act on their data. This is a high-ownership role: you will drive products from discovery to launch with autonomy expanding as fast as you build confidence and context.
What will you do?
Roadmap Ownership: Own the roadmap for key surfaces of the agentic analytics portfolio, from discovery through launch and iteration, and ensure they are best-in-class in the analytics database space.
Customer Discovery: Talk to users constantly — developers, data engineers, and platform teams deploying agents against production data — and turn their feedback into crisp priorities.
Product Quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evals and observability (Langfuse) so that quality is measured.
Market & Competitive Intelligence: Track the competitive landscape and translate it into positioning, differentiation, and gaps to close.
Go-to-Market Partnership: Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement.
Communication: Write clearly and often, including public-facing content that explains what we built and why.
What you bring along:
3+ years of product management experience in developer tools, data infrastructure, or ML/AI products
Hands-on familiarity with LLMs and agentic workflows: you have built or shipped something with them
Comfort with SQL and analytical databases; you can query your own product data without waiting for someone else
Strong written communication and the ability to drive alignment across engineering, design, and go-to-market
You have a high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public
You thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
Experience with LLM observability, evals, or inference infrastructure
Experience pricing usage-based or token-based products
Prior work on open source products or with open source communities
Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
Perks
Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
Healthcare - Employer contributions towards your healthcare.
Equity in the company - Every new team member who joins our company receives stock options.
Time off - Flexible time off in the US, generous entitlement in other countries.
A USD$500 Home office setup if you’re a remote employee.
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
How we rate this
Senior Product Manager - AI/ML at ClickHouse rates 75 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
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 llms was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, LLMs, Agentic Workflows, and Developer Tools. 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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