Job Description

The Role 

At General Motors, we empower Product Managers to solve challenging customer and business problems. We seek passionate and innovative team members who can collaborate effectively within product management, program management, design, and engineering teams to discover and deliver impactful solutions. We hold our teams accountable for results and seek leaders who can influence teammates, stakeholders, and executives using data and logic. 

As a Staff Product Manager for Synthetic Data, you will define and execute the strategy and roadmap for enhancing the trust in Synthetic data used to create GMs next generation autonomy. This role will drive innovation in how we utilize and scale Synthetic Data to provide training data and insights faster to the autonomy development and validation teams.  You’ll lead cross-functional efforts to drive alignment and roadmap across Simulation, ML infrastructure and Autonomy development. 

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.  

 
What You’ll Do  

• Own the long-term product vision, setting strategic direction for increasing the trust in Synthetic Data across GM, including scale synthetic data production (quality and volume) to define it as a first-class data source in the training workflow. 

• Communicate very technically complex information in an easy-to-understand narrative to stakeholders across GM. 

• Help drive a data-driven culture and establish and monitor key metrics to  
  measure the effectiveness of Synthetic Data, including: 

• Establishing quality frameworks and "is this good enough?" criteria. 

• Define and track KPIs that show the impact of synthetic data on model performance and program outcomes  

 
Your Skills & Abilities (Required Qualifications) 

• 5+ years  product management experience. 

• Bachelor's degree in Engineering or related fields 

• Solid understanding of the latest Simulation platforms, ML orchestration infrastructure and validation workflows.  

• 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.  

What Will Give You a Competitive Edge (Preferred Qualifications) 

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

• Experience working on Autonomous Vehicles, ML infrastructure, or large-scale simulation/testing. 

• Exposure to synthetic data generation, simulation, or domain adaptation for perception or behavior models.  

• Track record building trust with staff/principal engineers through transparent roadmaps and honest communication.  

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren, MI or Sunnyvale, CA office three times per week, at minimum. 

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 $106,600 to $192,700. 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.

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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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