General Motors is looking to solve the problem of measuring and evaluating the readiness of their autonomous vehicle products to ensure they can deliver a safe and delightful product.
Requirements
- Solid understanding of the modern data and analytics technology stack, including cloud data and data infrastructure
- Experience working on frontier technology products
- Experience working with, understanding, analyzing, and presenting complex data to help influence long-term roadmaps
- Experience working on AI/ML related projects, data analytics and decision support.
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
- Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to GMs office in Mountain View, CA or the office in Warren, MI three times per week, at minimum.
- 5 + years of product management experience
- 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.
