Staff Product Manager, Logging

General Motors • Mountain View, CA

2d • Hybrid

About The Position

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. 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. The Role As a Staff Product Manager for Logging and Offload, you will define and drive the data logging and offload strategy for GM’s next generation of autonomous vehicles. This role will own the roadmap for how we capture, manage, and prioritize data across a global fleet—what’s logged, when, why, and how it’s offloaded from the vehicle. You’ll lead cross-functional efforts to design scalable onboard and offboard systems that power autonomy development, regulatory compliance, and fleet optimization. Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, infrastructure, and operations teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and thinking both from first principles and at fleet-wide scale. The Role As a Senior 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.

Requirements

• 5+ 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.

Nice To Haves

• Experience managing robotics, AI, embedded systems, and/or data-heavy products
• Relevant educational background in a technical field
• Experience managing robotics, AI, machine learning applications
• Relevant educational background in a technical field

Responsibilities

• Own the long-term product vision and roadmap for logging and offload systems across GM’s autonomous vehicle platform, balancing engineering constraints, business needs, and data fidelity requirements.
• Define strategies for what data is captured on-vehicle, when and why it’s logged, and how it’s prioritized and offloaded at scale across millions of vehicles.
• 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 data logging strategies support real-world development, evaluation, and fleet operations goals.
• Translate evolving product, regulatory, and engineering needs into clear logging policies, on-vehicle configurations, and offload strategies that scale with fleet complexity.
• Proactively identify gaps and tradeoffs in system performance, data throughput, and fleet availability, and lead initiatives to improve observability, efficiency, and control.
• Drive a metrics-driven approach to decision-making by defining KPIs for logging effectiveness, offload success, and campaign impact, and using data to guide prioritization.
• 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
• 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.

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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed