This role involves improving AI developer efficiency by enhancing tools for data management and experimentation, advocating for engineers, and modernizing technical infrastructure.
About the Team
The Autonomy Development Platform (ADP) team builds the foundational tools and infrastructure that allow Zoox to define, validate, and scale driving excellence. We empower AI, QA, and Mapping teams to rapidly iterate on the core pillars of our performance: Safety, Progress, and Comfort. Our mission is to transform complex fleet and simulation data into a high-velocity development loop, ensuring every software release is more performant and rider-ready than the last.
The Role
As the Technical Product Manager for Autonomy Performance & Data, you will be the architect of the developer experience for Zoox’s AI engineers. Your goal is to increase AI developer "Quality of Life" and efficiency by ensuring our engineers can get more done with less manual overhead.
You will own the end to end lifecycle of how we measure and curate data. This includes modernizing and unifying our experimentation platforms and building the discovery tools that find "needles in the haystack" across petabytes of sensor data. This is a high impact role that sits at the intersection of Perception, Prediction, and Planning, ensuring that the right code gets merged and our autonomous stack stays ahead of the curve.
Responsibilities
- Unify the Experimentation Ecosystem: Define and execute the strategy to consolidate disparate performance measurement and metrics tools into a single, authoritative platform for all Autonomy engineers.
- Scale the Data Flywheel: Own the roadmap for large scale data management and mining tools. Enable engineers to discover critical edge cases and curate the high impact datasets needed to train and measure Zoox’s state of the art models.
- Accelerate Developer Velocity: Build high fidelity A/B testing and comparative analysis tools that allow developers to validate branch level changes with high confidence before hitting a Pull Request.
- Drive AI Developer Efficiency: Act as the primary advocate for the AI engineering community. Identify workflow bottlenecks and deliver a roadmap that increases developer efficiency and ensures high quality code merges.
- Bridge Technical Domains: Partner deeply with Perception and Behavioral AI leads to translate complex algorithmic requirements into a scalable tool strategy that measures and elevates driving performance.
Qualifications
- 8+ years of product management experience (8 years total work experience)
- Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related discipline
- Domain Expertise: Deep familiarity with the ML development lifecycle, including data curation, model training, and performance evaluation (metrics/KPIs).
- Data Fluency: Comfortable engaging with engineers on data pipelines, large scale search (e.g., embeddings or metadata mining), and quantitative analysis.
- Strategic Execution: Proven track record of managing complex technical migrations and modernizing legacy toolsets without disrupting team velocity.
- User Centric Mindset: A passion for "Developer Experience" and a drive to build tools that make engineering teams more productive and satisfied.
Top Skills
AI
Data Pipelines
Experimentation Platforms
Ml
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