Staff Product Manager - AV Evaluation and Metrics

General Motors of Canada; Warren (MI); Hybrid; USD 168,000 - 259,000; Full time

Job summary

A leading automotive company seeks a Staff Product Manager to define and execute the strategy for simulation evaluation products, ensuring high-fidelity testing of autonomy systems. The ideal candidate has over 5 years of product management experience, a bachelor's degree in a related field, and strong understanding of data analytics technology. This hybrid role requires collaboration across multiple teams to drive product innovation.

Benefits

Health and wellbeing benefit programs

Tuition assistance programs

GM vehicle discounts

Qualifications

• 5+ years product management experience.
• Solid understanding of modern data and analytics technology.
• Demonstrated expertise in writing and integrating vision, strategy, and technical details.

Responsibilities

• Own product vision and strategy for simulation evaluation infrastructure.
• Develop strategies for evaluating simulated driving.
• Lead a cross-functional team to create high-confidence evaluation products.

Skills

Product management experience

Understanding of data and analytics technology

Ability to drive projects

Strong accountability

Technical writing skills

Education

Bachelor's degree in Engineering, Data Science, or related fields

Job description

Overview

Work Arrangement: Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the GM Global Technical Center in Mountain View, CA or Warren, MI three times per week, at minimum.

The Role: 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.

As a Staff Product Manager for AV Evaluation Metrics and Products, you will define and execute the strategy and roadmap for our Simulation Evaluation metrics and products, enabling high-fidelity, scalable and trustworthy testing of GM's next generation autonomy. This role will drive innovation in how we assess AV performance at scale in Simulation and Road across multiple dimensions like Safety, Comfort, Regulatory Compliance etc and provide insights faster to the autonomy development and validation teams. You’ll lead cross-functional efforts to drive alignment and roadmap across end to end model evaluation, subsystem evaluation and infrastructure to support it.

Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, product, infrastructure, and operations teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and thinking both from first principles and at fleet-wide scale.

Your Responsibilities

• Own the long-term product vision, setting strategic direction for simulation Evaluation infrastructure across multiple autonomy capabilities, vehicle models and simulation modalities aligning with broader company goals.
• Develop and implement strategies for systems, processes, and metrics capable of evaluating simulated driving to predict on-road performance as well as evaluate road driving.
• Lead a cross-functional team of stakeholders encompassing Safety, Engineering, Data Science, Program, and Product Managers to create evaluation products which provide high confidence, high frequency insights.
• Act as the voice of the customers from the multiple internal GM teams across development to validation, ensuring evaluation products not just meet the needs of the customers but delight them by pushing the envelope on the insights that are possible and their scale.
• Help drive a data-driven culture and establish and monitor key metrics to measure the effectiveness of the Simulation Evaluation products.

Qualifications (Required)

• 5+ years 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
• Proven ability to balance tradeoffs between user needs and expectations, technical requirements and constraints and business objectives.
• Demonstrated expertise in writing, with the ability to effectively balance and integrate vision, strategy, and technical details in a cohesive narrative.

Preferred Qualifications

• An MBA or a master's Degree in a technical or engineering discipline
• Experience working on evaluation, data and metric products and pipelines.
• Experience managing products focused on ML model development and evaluation

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 - $258,800. 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.

Relocation

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY for GM immigration sponsorship now or in the future.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we''re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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