Staff Product Manager, Evaluation and Validation

Job Description

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. 

 
Why Join Us?
General Motors pioneers the innovations that move and connect people to what matters. We see a world with zero crashes, zero emissions, and zero congestion. As we move toward this vision, software plays an integral role as it becomes more prominent in our vehicles. 

Our ambition in Software & Services Product Management is to build a world-class software development culture that is part of the company’s shared vision. We are creating an elite portfolio of software-defined vehicles by tightly integrating software, hardware, and services to create complete and compelling vehicle experiences for our customers. 
 

The Role 
As a staff product manager for evaluation and validation, you will tackle one of the hardest problems in autonomous vehicles: how we measure and evaluate the readiness of our product. You will work across teams in ML Engineering, Data Science, Product, Systems, and Safety to build the vision, roadmap, and metrics needed to ensure we can deliver a safe and delightful product. 

What You’ll Do: 

• 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 

  
Your Skills & Abilities (Required Qualifications)  

• 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  

What Will Give You a Competitive Edge (Preferred Qualifications) 

• An MBA or a master's Degree in a technical or engineering discipline 

• 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. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $168,000 to $258,800. T