Job Overview  

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.

Key Responsibilities  

Product Discovery & Design

1. Drive product design for core analytical database features - conducting user research and competitive analysis, and translating insights into clear, well-scoped PRDs.
2. Design intuitive, easy-to-use interfaces for core database capabilities, and continuously iterate based on evolving user needs and market trends.

Product Development & Execution

1. Partner closely with engineering, QA, and other cross-functional teams to drive the full product lifecycle - from development through testing to delivery and launch.
2. Own product quality throughout execution and shape the roadmap for core database features.

Post-Launch Optimization

1. Track user feedback and adoption after launch, driving ongoing optimization of core features.
2. Manage the full feature lifecycle, ensuring capabilities continue to evolve in line with user and market needs.

Qualifications  

Minimum 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-Have Skills

• 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.