Zoox

Fully electric autonomous ride-hailing service platform

Senior Manager - Perception Data

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeFoster City, CA, USA$339k - $375k /yr

About the Job

Requirements

A track record of building and leading high-performing technical teams in data science, data engineering, machine learning, or labeling, including managing managers or senior individual contributors.
Deep technical expertise in computer vision, video, multimodal artificial intelligence, or related perception problems.
Experience leading large-scale data capabilities that directly influence model training, evaluation, and performance.
Strong intuition for what makes data valuable, with experience in data discovery, selection, curation, and enrichment at scale.
Proven execution at scale, with strong technical and commercial judgment across quality, speed, cost, and build-versus-buy trade-offs.
Ability to move between strategy and technical detail, set direction in ambiguity, and influence senior technical and business stakeholders.

Responsibilities

Own the perception data flywheel by running the learning loop from real-world fleet signals and model behavior through data discovery, curation, and enrichment into training, evaluation, and measurement.
Lead multidisciplinary teams and manage and develop a 10+ person team of data science, data engineering, and data labeling professionals, setting priorities and raising the bar on execution.
Automate annotation at scale by driving auto-annotation and auto-labeling pipelines to reduce manual cost while improving label quality and throughput.
Develop intelligent approaches to surface rare, surprising, and safety-critical scenarios in very large datasets using embeddings, semantic search, learned representations, and model-driven data selection.
Define how fleet logs are selected, stored, and retrieved so the right data reaches models efficiently and economically.
Establish how to measure the value of data and make rigorous trade-offs across quality, accuracy, speed, cost, and scale.
Feed curated data into model training and evaluation, then analyze outcomes to continuously refine what is collected and labeled.
Partner closely with machine learning, metrics and evaluation, and infrastructure teams to keep the data flywheel running reliably at scale.

Desired Qualifications

Experience in autonomous driving, robotics, or embodied artificial intelligence.
Experience with large-scale video, multimodal, or foundation-model training.
Experience with semantic search, embeddings, active learning, auto-labeling, or other approaches to intelligent data selection and enrichment.
Experience with large-scale real-world data acquisition across fleets, partners, or multiple geographies.

Salary Range: 339000 to 375000 (Currency: USD) (Pay period: per-year-salary)

Perception data is core to how Zoox’s robotaxis understand the world, and as Senior Manager of Perception Data, you will own the flywheel that turns that data into safer, smarter driving.

You will lead our perception data organization, spanning data science, data engineering, and data labeling, and own how we mine logs, automate annotation, feed high value data into our models, and close the loop through analysis and measurement. The most valuable examples in our corpus are often the hardest to find: rare behaviors, unusual interactions, safety critical events, and the long tail of real world urban driving. Your role is not only to build the systems that process this data, but to decide what data matters and why, and to build the learning loop that lets Zoox improve model performance faster.

This is an opportunity for a leader who blends strategic thinking with strong execution, has done it before at scale, and knows how to partner with ML leaders, metrics pipelines, and infrastructure teams.

In this role, you will...

Own the perception data flywheel. Run the learning loop from real world fleet signals and model behavior through data discovery, curation, and enrichment into training, evaluation, and measurement.
Lead multidisciplinary teams. Manage and develop a 10+ person team of data science, data engineering and data labeling, setting priorities and raising the bar on execution.
Automate annotation at scale. Drive auto annotation and auto labeling pipelines, reducing manual cost while improving label quality and throughput.
Build advanced data miners. Develop intelligent approaches to surfacing rare, surprising, and safety critical scenarios in very large datasets, using techniques such as embeddings, semantic search, learned representations, and model driven data selection.
Own log selection and storage. Define how we select, store, and retrieve fleet logs so the right data reaches our models efficiently and economically.
Connect data to model performance. Establish how we measure the value of data and make rigorous trade offs across quality, accuracy, speed, cost, and scale.
Close the loop. Feed curated data into model training and evaluation, then analyze outcomes to continuously refine what we collect and label.
Partner cross functionally. Work closely with ML, metrics and evaluation, and infrastructure teams to keep the flywheel running reliably at scale.

Qualifications

Track record of building and leading high performing technical teams (data science, data engineering, ML, or labeling), including managing managers or senior individual contributors.
Deep technical expertise in computer vision, video, multimodal AI, or related perception problems.
Experience leading large scale data capabilities that directly influence model training, evaluation, and performance.
Strong intuition for what makes data valuable, with experience in data discovery, selection, curation, and enrichment at scale.
Proven execution at scale, with strong technical and commercial judgment across quality, speed, cost, and build versus buy trade offs.
Ability to move between strategy and technical detail, set direction in ambiguity, and influence senior technical and business stakeholders.

Bonus Qualifications

Autonomous driving, robotics, or embodied AI.
Large scale video, multimodal, or foundation model training.
Semantic search, embeddings, active learning, auto labeling, or other approaches to intelligent data selection and enrichment.
Large scale real world data acquisition across fleets, partners, or multiple geographies.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

Recently Posted Jobs

Explore more opportunities at Zoox

See more jobs