Staff Product Manager, Logging

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

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