Staff Product Manager, Logging

Description
Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to GMs office in Mountain View, CA or the office in Warren, MI as needed.
Why join us?
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.
Our ambition in Software & Services Product Management is to build a world-class software development culture that is part of the company's shared vision. We are creating an elite portfolio of software-defined vehicles by tightly integrating software, hardware, and services to create complete and compelling vehicle experiences for our customers.
The Role
As a Staff Product Manager for Model Training, you will 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. 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

• Lead cross-functional efforts across Software Engineering, Infrastructure, Operations, Autonomy, and Data teams to build robust, scalable systems that enable efficient data collection and retrieval.

• 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.

Your Skills & Abilities (Required Qualifications)

• 8+ years product management experience

• Proven ability to balance tradeoffs between consumer needs and
  expectations, legal and regulatory requirements, and business objectives.

• Experience developing solutions to hard problems with many constraints,
  using sound judgement to assess risks, and to lay out your argument in a
  well-structured, data-informed, written narrative.

• Demonstrated expertise in writing, with the ability to effectively balance and
  integrate regulatory, privacy, and engineering user perspectives to ensure clear requirements for data logging.

• Ability to identify key data and metrics required to make decisions and
  implications of their movement.

• Strong communication and storytelling skills, with the ability to articulate
  complex concepts to all stakeholders.

• 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)

• Experience managing robotics, AI, machine learning applications

• Relevant educational background in a technical field

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 $178,100 to $274,300. 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.

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.
#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}.
This job may be eligible for relocation benefits.
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.
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.