Celerdataopenroles
Lead Product Manager, Database Core
Menlo Park, CA
Sponsorship not specifiedDetected 11 days ago
SnowflakeRedshiftRESTAgentic AIUX ResearchProduct ManagementAgilePRDsResearchOrganizational Skills
About the role
- 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
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.
- Manage the full feature lifecycle, ensuring capabilities continue to evolve in line with user and market needs.
- Comfortable using AI tools to drive product design and prototyping.
Nice to have
- 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.
- Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California.
- Learn more at phoenixdata.ai
- This is a high-impact role for a deeply technical, systems-oriented PM who thrives at the intersection of database internals and product strategy.
- Post-Launch Optimization Track user feedback and adoption after launch, driving ongoing optimization of core features.
- 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.
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