Senior Product Manager – AI/ML

Posted 4 hours ago

This is a fully remote position, open to applicants in Germany, +4 more countries.

📋 Description

• Take ownership of the roadmap for crucial components of the agentic analytics portfolio, guiding them from discovery to launch and subsequent iterations.

• Ensure that products stand out as top-tier solutions within the analytics database sector.

• Engage in ongoing customer discovery with developers, data engineers, and platform teams implementing agents on production data.

• Translate customer feedback into actionable priorities.

• Define and prioritize features that enhance agent accuracy, reduce latency, lower costs, and increase trust.

• Equip the product with evaluations and Langfuse observability to assess quality.

• Monitor the competitive landscape and convert insights into effective positioning, differentiation, and identification of product gaps.

• Collaborate with marketing, sales, and developer relations on pricing strategies, packaging, launch content, and field enablement initiatives.

• Produce clear and frequent communications, including public-facing materials that elucidate products and their rationale.


⛳️ Requirements

• Over 3 years of experience in product management focused on developer tools, data infrastructure, or ML/AI products.

• Practical knowledge of LLMs and agentic workflows; experience in building or shipping related solutions.

• Proficiency with SQL and analytical databases.

• Excellent written communication skills.

• Capability to foster alignment among engineering, design, and go-to-market teams.

• Strong sense of ownership and a proactive approach to delivering results.

• Ability to pragmatically define project scopes, make tough decisions, and iterate transparently.

• Skill in conveying technical concepts to a variety of stakeholders.

• Familiarity with LLM observability, evaluations, or inference infrastructure (preferred).

• Experience in pricing usage-based or token-based products (preferred).

• Prior involvement with open source products or communities (preferred).

• Understanding of database systems and data processing pipelines (preferred).

• Significant experience with ClickHouse (strongly preferred).


🏝️ Benefits

• Flexible work environment.

• Employer contributions towards healthcare expenses.

• Stock options available for every new team member.

• Flexible time off policy in the United States.

• Generous time off entitlement for employees in other countries.

• USD$500 allowance for home office setup for remote employees.

• Opportunities for engagement with colleagues at company-wide offsite events.

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