56 geprüfte Hybrid KI-Jobs in Berlin

Anforderungen

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

Das wird geboten

- 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

- 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 eligible team member who joins our company receives equity. - 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.

Zur Position

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.