Technical Program Manager - Data Operations Lead

Zoox; Foster City (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Paid parental leave

Health insurance

Work from home opportunities

Comprehensive health support

Flexible paid time away

Food program with local dishes

Social events and sports teams

Job summary

Zoox is seeking an experienced operations leader to manage the Perception Data and Labeling team in Foster City, California. You will be responsible for ensuring high-quality training data for the team's machine learning models while collaborating across various teams.

The ideal candidate has over 5 years of experience in Technical Program Management or Operations Strategy within technology or AI sectors. This role offers comprehensive health benefits, parental leave, and a supportive workplace culture focused on employee wellbeing.

Qualifications

• 5+ years experience in managing complex cross-functional programs in technology or AI/ML sectors.
• Ability to translate high-level product roadmaps into execution plans.
• Experience managing vendor operations focusing on quality and volume.

Responsibilities

• Oversee training and evaluation data for ML models.
• Collaborate with AI teams and manage data collection and labeling.
• Define outcomes and ensure data quality and transparency.

Skills

Technical Program Management

Operations Strategy

Strategic Capacity Planning

Vendor Operations Management

SQL or Python/Pandas

Job description

• We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team
• The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox
• The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines
• 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

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

Qualifications

• Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors
• Strategic Capacity Planning: Demonstrated 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
• 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
• Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support