Senior Product Manager - AI/ML
New
C
ClickHouseAI/ML analytics
Location: Germany; Secondary Locations: United Kingdom, Spain, Italy, The Netherlands; Workplace: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years of product management experience
- Required Skills
- SQLProduct ManagementClickhouse
Requirements
- Have 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products.
- Have hands-on familiarity with LLMs and agentic workflows, including having built or shipped something with them.
- Be comfortable with SQL and analytical databases, and able to query product data independently.
- Have strong written communication skills and the ability to drive alignment across engineering, design, and go-to-market.
- Demonstrate ownership and a bias toward shipping, with pragmatic scoping, ruthless prioritization, and iteration.
- Be able to communicate technical concepts to diverse stakeholders.
- Experience with LLM observability, evals, or inference infrastructure is a plus.
- Experience pricing usage-based or token-based products is a plus.
- Prior work on open source products or with open source communities is a plus.
- Understanding of database systems and data processing pipelines is a plus; ClickHouse experience is a significant plus.
Responsibilities
- Own the roadmap for key surfaces of the agentic analytics portfolio from discovery through launch and iteration.
- Talk with developers, data engineers, and platform teams deploying agents against production data, and turn feedback into priorities.
- Define and prioritize features that improve agent accuracy, latency, cost, and trust.
- Instrument the product with evals and observability using Langfuse so quality is measured.
- Track the competitive landscape and translate findings into positioning, differentiation, and product gaps to address.
- Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement.
- Write public-facing content explaining what the team built and why.
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