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.