Senior Group Product Manager - ML Platform

Description
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI or Mountain View, CA office three times per week, at minimum.
The Role
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
As a Senior Group Product Manager you will build and lead a team of product managers that define and drive our ecosystem of technical solutions for large scale model training to drive the advancement of autonomous vehicle solutions. This role will own the roadmap for how we prepare, track, and manage our model training work to maximize productivity and efficiency. Your team will develop solutions for large scale training and machine learning engineer workflows. This role requires collaboration with data scientists, engineers, and stakeholders, as well as a deep understanding of the ML lifecycle, from data acquisition and training to performance evaluation and deployment.
Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and finance teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and translating business needs into engineering priorities.
What You'll Do

• Own the long-term product vision and roadmap for model training systems across GM's autonomous vehicle platform, balancing engineering constraints, business needs, and data fidelity requirements.

• Define strategies for how we address the different stages of ML training workflow

• Act as the voice of autonomy and infrastructure customers, ensuring that model training strategies support real-world development, evaluation, and fleet operations goals.

• Proactively identify gaps and tradeoffs in system performance, data throughput, developer productivity, and lead initiatives to improve observability, efficiency, and control.

• Drive a metrics-driven approach to decision-making by defining KPIs for training effectiveness, developer productivity, and cost efficiency.

• Incorporate data, research, and market analysis to inform product strategies and roadmaps

• Establish and prioritize product requirements to solve critical business and customer problems.

• Drive product development with world class software, design, and program management teams to achieve key milestones.

• Define, track, and analyze key product metrics, user feedback, and performance data to measure success and identify improvement areas.

• Communicate product status and updates to senior leadership and stakeholders.

• Develop a team of experienced product managers

• Mentor and develop other product managers, fostering a culture of innovation and excellence.

• Stay updated on new technology and competitive products to drive continuous improvement, anticipate threats, and identify risks

Your Skills & Abilities (Required Qualifications)

• 10+ years of product management or related industry experience.

• 5+ years of managing teams

• Proven experience with technical product management and leading the entire product lifecycle from concept to introduction.

• Strong analytical skills with the ability to derive actionable insights from complex data.

• Excellent presentation abilities to drive a concrete vision and rally the team.

• Technical proficiency in problem-solving with complex software solutions

• Experience defining vision and strategy for software products

• Exceptional communication and leadership skills, with the ability to drive stakeholder buy-in.

• Proven oral and written communication skills; ability to become fluent in technical concepts and explain to non-technical partners

• Comfortable with complex and ambiguous problems and situations, and adept at identifying a project's risks

• Enthusiastic and resilient in a constantly evolving environment where creative solutions are the norm.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Masters or Doctorate degree in related field

• Experience working with data scientists and AI/ML teams on software development tools, pipelines, and release

• Experience fostering innovation and driving change in complex organizations

• Experience shipping hardware or AI driven consumer products

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 $257,400 to $393,800. 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, though 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
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.)
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
The selected candidate will be required to travel <25% for this role.
The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization
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.
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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.
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