Senior Product Manager - AI/ML
π Brazil
π Canada
π Chile
π Colombia
π Mexico
π Peru
π United States
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
ClickHouse @ 4
Communication @ 7
LLM @ 4
Machine Learning
Marketing
OLAP
Observability @ 4
Product Management @ 6
SQL @ 6
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
This role owns core areas of the agentic analytics experience, working at the intersection of large language models, developer tooling, and high-performance analytics. You will shape how organizations let agents query, reason over, and act on their data, driving products from discovery through launch with a high degree of autonomy.
Responsibilities
- 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 developers, data engineers, and platform teams deploying agents against production data, and turn their feedback into clear priorities.
- Product quality: Define and prioritize features that improve agent accuracy, latency, cost, and trust. Instrument the product with evaluations and observability using Langfuse so that quality is measured.
- Market and 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 was built and why.
Requirements
- 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 using them.
- Comfort with SQL and analytical databases, including the ability to query your own product data.
- Strong written communication and the ability to drive alignment across engineering, design, and go-to-market teams.
- A high level of ownership and a bias toward shipping: you scope pragmatically, cut ruthlessly, and iterate in public.
- Ability to thrive in collaborative environments and 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.
- Prior work on open-source products or with open-source communities.
- Understanding of database systems and data-processing pipelines; ClickHouse experience is a significant plus.
Benefits
- Flexible work environment at a globally distributed, remote-friendly company operating in more than 25 countries.
- Employer contributions toward healthcare.
- Stock options for every new team member.
- Flexible time off in the United States and generous entitlement in other countries.
- USD 500 home-office setup allowance for remote employees.
- Opportunities to engage with colleagues at company-wide global gatherings.
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment based on legally protected characteristics.