General Motors
Staff Product Manager, Evaluation and Validation
General Motors, Mountain View, California, us, 94039
Overview
Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the GM Technical Centers in Sunnyvale, CA, Mountain View, CA or 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. 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 GM’s 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 $178,100 - $274,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-KE2
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Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the GM Technical Centers in Sunnyvale, CA, Mountain View, CA or 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. 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 GM’s 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 $178,100 - $274,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-KE2
#J-18808-Ljbffr