Senior Product Manager - Synthetic Data

Posted 3 Days Ago
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2 Locations
Hybrid
107K-193K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Own the vision, strategy, and roadmap for synthetic data at General Motors. Drive adoption, quality, scale, and trust in synthetic data for autonomy training and validation. Establish quality frameworks, success criteria, and KPIs connecting synthetic data to model performance and program outcomes. Lead cross-functional alignment across simulation, ML infrastructure, autonomy development, engineering, product, and operations while communicating complex technical concepts and managing strategic tradeoffs.
Summary Generated by Built In
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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GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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.
Total Rewards | 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
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • 5+ years of product management experience
  • Bachelor's degree in Engineering or a related field
  • Solid understanding of simulation platforms, ML orchestration infrastructure, and validation workflows
  • Ability to navigate ambiguity and drive projects forward without a clear path
  • Strong accountability and ownership
  • Ability to balance user needs, technical requirements, constraints, and business objectives
  • Demonstrated expertise in writing and communicating vision, strategy, and technical details
  • MBA or master's degree in a technical or engineering discipline
  • Experience with autonomous vehicles, ML infrastructure, or large-scale simulation and testing
  • Exposure to synthetic data generation, simulation, or domain adaptation for perception or behavior models
  • Experience building trust with staff or principal engineers through transparent roadmaps and communication

What the Team is Saying

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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