Autonomy Data Product Manager

General Motors LLC; Sunnyvale (CA); On-site; USD 84,000 - 163,000; Full time

Benefits offered by this job

GM vehicle discounts

Health benefits

Tuition assistance

Job summary

General Motors LLC's Scaled Engineering Operations (SEO) team is building data products to advance autonomous vehicle development. We seek a Technical Product Operations Manager to oversee data products that drive simulation, testing, and operational excellence for our autonomous vehicles.

You will own the data product for simulation/test issue management, collaborate with simulation partners, develop metrics and dashboards, and help scale workflows as the AI stack evolves.

Qualifications

• 3+ years of analytical and strategic experience in related roles.
• Bachelor’s degree or equivalent practical experience.
• Experience with data products, operational workflows, or AV-related systems.
• Strong communication and data-driven decision-making.
• Familiarity with SQL.

Responsibilities

• Own the data product that supports simulation and test issue management.
• Collaborate with simulation partners to refine taxonomy and data quality.
• Identify gaps and refine issue definitions across teams.
• Create metrics, dashboards, and analyses to surface trends and inform decisions.
• Contribute to adjacent data products and pilot initiatives.
• Identify opportunities to scale and improve workflows as AV stacks evolve.

Skills

SQL

Analytical thinking

Cross-functional collaboration

Education

Bachelor’s degree in a relevant field

Tools

Python

Job description

General Motors LLC's Scaled Engineering Operations (SEO) team is building data products to advance autonomous vehicle development. We seek a Technical Product Operations Manager to oversee data products that drive simulation, testing, and operational excellence for our autonomous vehicles.

You will own the data product for simulation/test issue management, collaborate with simulation partners, develop metrics and dashboards, and help scale workflows as the AI stack evolves.