General Motors is looking to solve the problem of measuring and evaluating the readiness of autonomous driving products to ensure the delivery of safe and delightful software-defined vehicles.
Requirements
- 5 + years of product management experience
- Bachelor's degree in Engineering, Data Science, or related fields
- Solid understanding of the modern data and analytics technology stack, including cloud data and data infrastructure
- Ability to navigate ambiguity and drive projects forward, even without a clear path
- Strong sense of accountability and ownership
- Demonstrated expertise in writing, with the ability to effectively balance and integrate vision, strategy, and technical details in a cohesive narrative
- Experience working on frontier technology products
Responsibilities
- Partner with data scientists, software and ML engineers to evaluate GMs ADAS products
- Build scalable frameworks to measure driving performance
- Build and own performance KPIs
- Support verification & validation workflows, safety-case development, and represent eval in every step of the product development cycle
- Actively monitor emerging trends and regulatory developments of AI and AV safety
Other
- Bachelor's degree in Engineering, Data Science, or related fields
- A hybrid work arrangement requiring in-office presence three times per week
- Eligibility for relocation benefits
- Successful completion of a motor vehicle report review for company vehicle eligibility
- Possibility of being required to purchase/lease a qualifying GM vehicle every four years
