Lead Product Manager, Database Core
TLDR
Shape core analytical database features through user research, PRDs, database internals, cross-functional execution, and post-launch optimization.
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
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.
The base salary for this role is projected at $200,000-$300,000 annually, plus eligibility for PhoenixAI's bonus and equity programs.
Individual compensation will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. We also provide a comprehensive benefits package featuring premium medical, dental, and vision coverage, life insurance, and a 401(k) retirement plan. Employees enjoy at least 16 days of PTO, parental leave, health savings options, and access to our employee assistance program.
Benefits
Health Insurance
health savings options
Employee assistance program
access to our employee assistance program
Paid Parental Leave
parental leave
Paid Time Off
at least 16 days of PTO
Current Job builds the PhoenixAI platform, an Agentic AI Database that enables autonomous AI agents to access live enterprise data in sub-seconds. This powerful tool is designed for enterprises looking to unify real-time and at-rest data, ensuring the speed, governance, and flexibility required to effectively leverage AI in production.
- Founded
- Founded 2022
- Employees
- 51-200 employees
- Industry
- computer software
- Funding stage
- Series B
- Total raised
- $80M raised
- Last funding
- Raised June 2026