Lead Product Manager, Database Core

company About PhoenixAI PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai role 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 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. Product Development & Execution 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. Post-Launch Optimization 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. 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.