# Operations Lead - Perception Data Labeling

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Boston, MA
**Role:** Other
**Salary:** $163k – $223k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, pandas, Lidar, Radar, Camera, Thermal, Machine Learning, Data Annotation, Autonomous Driving
**Posted:** 2026-04-09

> Leads operations for perception data labeling, managing data collection, vendor allocation, budgeting, and quality tracking for AI perception models in autonomous vehicles. Requires 5+ years in technical program management or operations in AI/ML or autonomous driving, with sensor domain knowledge and data literacy using SQL/Python.

## Job Description

## Responsibilities
- Translate and coalesce company-wide feature requirements into concrete and comprehensive data deliverables.
- Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox’s AI perception stack.
- Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox.
- Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

## Qualifications
- **Experience**: 5+ years in Technical Program Management or Operations Strategy, managing complex, cross-functional programs in technology, autonomous driving, or AI/ML sectors.
- **Perception & Sensor Domain Knowledge**: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (**LiDAR**, **Radar**, **Camera**, **Thermal**) and their respective data annotation requirements.
- **Strategic Capacity Planning**: Ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans; experience managing resource allocation and throughput for large-scale workflows.
- **Vendor Ecosystem Understanding**: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
- **Data Literacy**: Proficiency with **SQL** or **Python/Pandas** to query databases, analyze throughput metrics, and generate reports without needing engineering support.

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