
Senior Product Manager – AI/ML
Posted 4 hours ago

Posted 4 hours ago
This is a fully remote position, open to applicants in Germany, +4 more countries.
• 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.
• 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).
• 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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