Lead Product Manager, Database Core

CelerDataMenlo Park, CA

About The Position

PhoenixAI is looking for a Senior/Lead Product Manager to join our PM team. In this role, you will drive product design for the database engine itself - conducting user research and competitive analysis, writing PRDs, and iterating on core database capabilities. This is a high-impact role for a deeply technical, systems-oriented PM who thrives at the intersection of database internals and product strategy.

Requirements

  • 8+ years of Product Management experience; experience with big data platforms or database products strongly preferred.
  • Deep, hands-on ownership of database internals - query engines, storage engines, OLAP/columnar systems, or distributed database architecture.
  • Comfortable using AI tools to drive product design and prototyping.
  • Ability to reason about technical systems and user workflows.
  • Experience working with engineering teams in Agile / Scrum environments.
  • Strong organizational skills and attention to detail.

Nice To Haves

  • Hands-on familiarity with at least one of: StarRocks, ClickHouse, Presto, Druid, Snowflake, Redshift, or BigQuery.
  • Familiarity with data warehouse modeling processes; DBA/ops experience a plus.
  • Prior experience at a DBaaS (Database-as-a-Service) or infrastructure-heavy startup.

Responsibilities

  • Drive product design for core analytical database features - conducting user research and competitive analysis, and translating insights into clear, well-scoped PRDs.
  • Design intuitive, easy-to-use interfaces for core database capabilities, and continuously iterate based on evolving user needs and market trends.
  • Partner closely with engineering, QA, and other cross-functional teams to drive the full product lifecycle - from development through testing to delivery and launch.
  • Own product quality throughout execution and shape the roadmap for core database features.
  • Track user feedback and adoption after launch, driving ongoing optimization of core features.
  • Manage the full feature lifecycle, ensuring capabilities continue to evolve in line with user and market needs.
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