Senior Technical Product Manager - Data and Pricing Services

Zoox•Foster City, CA

9d•$205,000 - $246,000

About The Position

Zoox is building the future of transportation and is seeking a Senior Technical Product Manager - Data and Pricing Services to join their Service Intelligence Platforms Team. This role will focus on architecting backend services that power Zoox's robotaxi fleet, translating company objectives into an actionable roadmap for technical teams. The position involves owning a portfolio of data science-driven backend services focused on pricing and fleet-level optimization, sitting at the intersection of marketplace economics, customer experience, technical implementation, and business strategy. This is a high-impact, high-profile role with company-wide visibility as Zoox scales its commercial service.

Requirements

8+ years of experience as a Technical Product Manager, specifically within AI/ML model development, data science, or marketplace-based products.
Deep familiarity with data science, online marketplaces, machine learning, and backend infrastructure.
Comfortable engaging with engineers on data pipelines, statistical analysis, simulation, experimentation, and performance evaluation (metrics/KPIs).
Proven track record of managing complex technical products with direct customer-facing impact.
A track record of navigating complex tradeoffs in a structured way while taking action and delivering on tight timelines.
A customer-first approach and a passion for building products that directly serve and benefit end users.

Nice To Haves

Experience working in the AV, mobility, or ride-hailing industries.
Experience optimizing products in the market (with a focus on experimentation).

Responsibilities

Drive the Roadmap: Craft and own a multi-year product strategy and roadmap.
Product Lifecycle: Own the successful execution of the product across its lifecycle.
Product Strategy: Develop a deep understanding of the customer, market, and business objectives to find new opportunities and align the product domain to company goals, translating this into clear direction for technical peers.
Product Management: Own the product backlog, set priorities, write user stories, and drive incremental improvements.
Drive Results: Ruthlessly prioritize features and ensure priorities are clearly communicated.
Infrastructure Development: Build the backend systems required to surface high-quality signals for minute-by-minute decisions from fleet data.
Algorithm Development: Partner with Data Science leads to develop complex algorithmic models for the autonomous vehicle service, ensuring a high-quality customer experience and maximizing operational efficiency.
Prioritize Learning: Architect rapid learning and iteration through simulation and in-market experimentation to test hypotheses quickly and effectively.