Senior/Staff Technical Product Manager, Operational Design Domain (ODD) Tools

Job description

Job responsibilities

• Product Strategy & Vision: Own the long-term vision and roadmap for the platform, aligned with Zoox Release milestones and city expansion plans.
• ODD & Plan of Record Integrity: Define the validation gates, guardrails, and traceability that keep every Plan of Record consistent with the map it is applied to and with prior milestones.
• Customer-Obsessed Discovery: Partner deeply with Driving Behavior Technical Product Managers, Mapping, Safety, and Data Science to understand their end-to-end workflows.
• Flawless Execution: Drive the full product lifecycle. Author clear PRDs, manage prioritization and the backlog, and run alpha validation before features reach milestone workflows.
• Engineering Partnership & Quality: Partner closely with engineering leadership to staff the roadmap, set release quality gates, and drive production regressions toward zero.
• Stakeholder Alignment: Serve as the central point of contact for ODD planning. Communicate roadmap, trade-offs, and status clearly to stakeholders and leadership, and say no with a better alternative when needed.
• Measure What Matters: Define, track, and report KPIs such as adoption, Plan of Record accuracy, time saved, and platform performance. Use data to prove impact and shape strategy.

Job requirements

• Technical Product Leadership: 5+ years of Technical Product Management experience, preferably on complex, data-heavy internal tools or enterprise-scale platforms.
• Comfortable discussing system architecture and data models with senior engineers.
• Data Quality Rigor: Proven track record defining validation, metrics, and quality bars for data that drives high-stakes decisions.
• Prioritization & Execution: Proven ability to ship incremental value against clear priorities, balancing near-term milestone needs with the long-term roadmap and platform health.
• Influence Without Authority: Exceptional stakeholder management and communication skills. Ability to build consensus across organizations, secure engineering investment, and drive clarity
• Geospatial & Data Fluency: Deep technical fluency with geospatial data, road networks or map data models, APIs, and data pipelines.
• Experience developing AI/ML, robotics, or autonomous vehicle products, particularly ODD definition, geofencing, or service area planning.
• Hands-on experience with GIS tooling and spatial data (e.g., PostGIS, GeoJSON) and SQL-based analytics (e.g., Databricks).