Senior Product Manager - AI Strategy

Reposted 2 Days Ago
2 Locations
Remote or Hybrid
118K-185K Annually
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.
Summary Generated by Built In
Description
General Motors is undergoing a bold transformation to become an AI-powered enterprise. Our newly established AI Center of Excellence drives this change by embedding AI into how we design, build, and operate - accelerating productivity, decision-making, and innovation across the company. From developing a world-class AI platform to launching proprietary GM-specific models, our team plays a central role in shaping the future of mobility and manufacturing. Joining this team means contributing to initiatives that directly influence how millions of vehicles are designed, engineered, and delivered worldwide
As a Product Manager in the AI Strategy team, you'll own products at the intersection of AI research, engineering, and business transformation. You will define roadmaps for GM's enterprise AI platform and productivity tools, working closely with data scientists, ML engineers, and business leaders. This role is suited for a technically fluent product manager - someone who can translate model metrics, data pipeline requirements, and system trade-offs into clear business outcomes. Your leadership will guide how AI is responsibly deployed at scale across the enterprise.
What You'll Do:
  • Define and execute product roadmaps for GM's enterprise AI platform and productivity solutions.

  • Partner with AI research and engineering teams to shape high-value use cases into scalable, governed products.

  • Translate technical concepts (e.g., training workflows, inference latency, evaluation metrics) into product priorities and trade-offs.

  • Establish and monitor KPIs for adoption, impact, and value delivered by AI solutions.

  • Ensure responsible deployment with built-in safety, compliance, and observability.

  • Drive user-centric design by incorporating employee feedback into platform improvements.

  • Stay ahead of emerging AI trends and identify opportunities to apply them across GM

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in computer science, Engineering, Data Science, or related field.

  • 5+ years of product management or technical program management experience, including 2+ years working with AI/ML, data platforms, or enterprise SaaS.

  • Strong technical foundation: ability to engage with engineering on ML workflows, data pipelines, and integration requirements.

  • Working knowledge of AI/ML lifecycle, including training, fine-tuning, evaluation, and deployment.

  • Proven ability to define product strategy and drive cross-functional execution.

  • Strong analytical and communication skills; adept at influencing technical and business stakeholders.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • Master's degree in a relevant field (MBA, Computer Science, AI, or related discipline).

  • Hands-on experience with cloud-based AI/ML platforms (Azure, AWS, GCP).

  • Familiarity with AI governance frameworks and responsible AI practices.

  • Experience with APIs, distributed systems, or technical product management.

  • Background in automotive, manufacturing, or large-scale industrial software environments.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV 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 New York, Colorado, California, or Washington.
  • The salary range for this role is 160,000 to 210,000. 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.
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 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.

Top Skills

AI
Data Science
Machine Learning

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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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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

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.

Typical time on-site: 3 days a week
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