Product Manager – Urology Bio-AI Nexus

UCSF Health, AG; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

UCSF is seeking a Product Manager for the Urology Bio‑AI Nexus to drive integration and coordination across a unified data ecosystem. You will translate clinical and laboratory requirements into specifications and manage priorities across data engineering, clinical research, and end users.

You will maintain a living roadmap, collaborate with faculty and staff, and ensure tools meet usability and documentation standards for researchers and partners.

Qualifications

• Bachelor's degree or higher in a related field.
• Advanced degree preferred (MS/MPH/PhD/MBA).
• 5+ years in product management/technical PM in a data‑intensive technology environment.
• Experience collecting user requirements and driving backlogs to deployment.
• Fluency reading/extending codebases (Python, SQL) with AI tools.
• Strong organizational/project management, roadmaps, timelines.
• Excellent written/spoken communication bridging technical and non‑technical.
• Experience in a research/clinical/healthcare data environment.
• Familiarity with Epic/Clarity and clinical data standards (HL7, FHIR, OMOP).

Responsibilities

• Translate requirements from clinical and research staff into actionable specifications.
• Coordinate development priorities and timelines; manage cross-functional dependencies.
• Contribute to documentation and production‑quality software tools and data products.
• Maintain a living product roadmap and align with stakeholders.
• Ensure usability, reliability, and documentation standards for clinical researchers and institutional partners.

Skills

Product management

Technical program management

Python

SQL

Data analysis

Roadmapping

Communication

Cross-functional collaboration

Healthcare data

Education

Bachelor's degree

Advanced degree (MS/MPH/PhD/MBA)

Tools

Epic/Clarity

AI-assisted development tools

Job description

UCSF is seeking a Product Manager for the Urology Bio‑AI Nexus to drive integration and coordination across a unified data ecosystem. You will translate clinical and laboratory requirements into specifications and manage priorities across data engineering, clinical research, and end users.

You will maintain a living roadmap, collaborate with faculty and staff, and ensure tools meet usability and documentation standards for researchers and partners.