Senior Product Manager - AI/ML
Own the roadmap and delivery of agentic analytics products at the intersection of LLMs, developer tooling, and high-performance databases. The role requires 3+ years of product management experience plus hands-on experience with LLMs, agentic workflows, SQL, and analytical databases.
About the job
Responsibilities
- Own the roadmap for key surfaces of the agentic analytics portfolio from discovery through launch and iteration.
- Conduct ongoing customer discovery with developers, data engineers, and platform teams deploying agents against production data.
- Define and prioritize features that improve agent accuracy, latency, cost, and trust.
- Instrument the product with evaluations and observability, including Langfuse, to measure quality.
- Track the competitive landscape and translate insights into positioning, differentiation, and product priorities.
- Partner with marketing, sales, and developer relations on pricing, packaging, launch content, and field enablement.
- Write clear internal and public-facing content explaining product decisions and capabilities.
Requirements
- 3+ years of product management experience in developer tools, data infrastructure, or ML/AI products.
- Hands-on familiarity with LLMs and agentic workflows, including having built or shipped products using them.
- Comfort with SQL and analytical databases.
- Strong written communication and ability to align engineering, design, and go-to-market teams.
- High ownership, pragmatic scoping, and a bias toward shipping and iteration.
- Ability to communicate technical concepts effectively to diverse stakeholders.
Nice to Have
- Experience with LLM observability, evaluations, or inference infrastructure.
- Experience pricing usage-based or token-based products.
- Experience with open source products or communities.
- Understanding of database systems and data processing pipelines.
- ClickHouse experience.
Skills
Product Management, LLMs, Agentic Workflows, SQL, Analytical Databases, Langfuse, Llm Observability, Machine Learning, Inference Infrastructure, Database Systems, Data Processing Pipelines
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