Senior Product Manager - AI/ML

This Senior Product Manager role focuses on the AI/ML space within a database platform. You will lead the development of agentic analytics features, focusing on how LLMs interact with and reason over large datasets.

What you’d own

Roadmap for agentic analytics portfolio from discovery to launch
Product quality metrics including accuracy, latency, cost, and trust
Customer discovery with developers and data engineers
Go-to-market partnership on pricing, packaging, and content

Who it’s for

A fit if you…

✓3+ years of experience in developer tools or ML/AI products
✓Hands-on experience building or shipping LLM-based workflows
✓Ability to query SQL and analyze product data independently
✓Strong technical writing skills for public-facing content

Not for you if…

✗You prefer well-defined specs over high-ownership, autonomous roles
✗You are uncomfortable working with developer-centric infrastructure
✗You prefer to delegate data analysis rather than querying SQL yourself

Reading between the lines

The mention of 'cutting ruthlessly' and 'iterating in public' suggests a lean, high-velocity execution style.
Requirement for 'evals and observability' implies a heavy focus on technical reliability over just UI/UX features.

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Benefits

HealthEquityPTOHome Office StipendOffsite

Full job description

Compensation: $170K – $242K • Offers Equity • Multiple Ranges

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 https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true 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 https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

About ClickHouse

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ClickHouse is an open-source, column-oriented OLAP database built for sub-second analytical queries over petabyte-scale data, offered both as the original OSS engine and as a managed cloud service. It's used for real-time analytics, observability (via the ClickStack open-source stack), and increasingly as the storage layer behind AI and agentic systems — customers include Anthropic, Cloudflare, Meta, Sony, eBay, Spotify, Vercel, and thousands more. The company is fully remote with employees in 10+ countries, recently acquired Langfuse to expand into LLM observability, and notes that 40% of its leadership team is women. For PMs, it's one of the more interesting data infrastructure companies riding the AI workload curve.

Data & AnalyticsDeveloper Tools & Infrastructure