Technical Product Manager Jobs

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Technical Product Operations Manager

General Motors•Sunnyvale, CA
•$83,800 - $163,400

About The Position

The Scaled Engineering Operations (SEO) team at General Motors applies human intelligence to complex problems in autonomous vehicle development. Working with Engineering, Product Management, and Business teams, it develops and improves products that support GM’s ADAS technology, including annotated datasets for machine learning and Pareto development, strategic test creation and management, and structured reviews of critical events and simulations to assess vehicle performance on-road and in simulation. The Technical Product Operations Manager oversees data products that support rapid, efficient, and safe autonomy operations, with a focus on GM’s simulation and testing environment. This is a high-impact individual contributor role that owns critical workflows end to end, influences team practices, and combines operational leadership, analytical rigor, and technical depth. The role sets quality standards, guides and mentors peers through influence, and may take on additional leadership scope as the organization grows. Depending on background and business needs, the work may emphasize simulation and test quality, issue taxonomy and analysis, or large-scale labeling operations. The position combines operational ownership, program leadership, and technical problem-solving to improve quality, scalability, and trust across core systems. It helps define, measure, and operationalize data, tests, and issues, influencing the speed, safety, and reliability of advanced vehicle systems. GM lists a base salary range of $83,800–$163,400, with the actual offer varying based on factors relevant to the position. The role is eligible for incentive pay based on company performance, job level, and individual performance. GM offers health and wellbeing programs and other benefits. GM does not provide immigration-related sponsorship for this role.

Requirements

  • At least 3 years of experience in consulting, finance, business operations, tech startups, or a similarly analytical and strategic environment.
  • Bachelor’s degree in a relevant field or equivalent practical experience.
  • Experience contributing to strategies and solutions in a complex, rapidly evolving domain, ideally involving data products, operational workflows, or AV-related systems.
  • Strong communication skills, including crafting clear summaries, presenting insights, and communicating recommendations to senior stakeholders.
  • Analytical rigor, including posing data-driven questions, conducting insightful analysis, and developing or improving metrics and KPIs.
  • Experience collaborating across teams with differing priorities to drive clarity, shared understanding, and progress.
  • Ability to switch between strategic thinking and hands-on execution, adapting to evolving needs with sound judgment and emotional intelligence.
  • Willingness to ask challenging questions, challenge assumptions, and surface inconsistencies to improve data quality and operational clarity.
  • Familiarity with SQL.

Nice To Haves

  • At least 5 years of experience in consulting, finance, business operations, tech startups, or a similarly analytical and strategic environment.
  • Proficiency in SQL and Python for data querying and analysis.
  • Experience supporting ADAS, autonomy, robotics, or complex simulation systems.
  • Familiarity with machine learning data operations, including labeling workflows, test quality frameworks, or quality control processes.
  • Experience managing or working closely with offshore vendors or external partners, including day-to-day operational coordination.
  • Comfort acting as a product owner for internal tools, including documenting requirements, prioritizing requests, and influencing roadmaps.
  • Experience designing forward-looking strategies in complex, rapidly evolving technical ecosystems, or a strong passion for self-driving technology and its potential.

Responsibilities

  • Own the data product supporting simulation and test issue management, keeping it accurate, scalable, and aligned with protocol execution needs.
  • Maintain and evolve issue categories in collaboration with simulation partners to promote consistent interpretation and high-quality protocol data.
  • Identify gaps, refine issue definitions, and ensure taxonomy items are applied consistently across teams and workflows.
  • Support the creation of metrics, dashboards, and analyses to surface trends and inform prioritization and decisions.
  • Contribute to adjacent data products and pilot initiatives across SEO’s portfolio to improve operational excellence and data reliability.
  • Identify and drive process improvements that make simulation and test issue workflows more scalable, efficient, and resilient as the AV software stack evolves.
  • Own critical workflows end to end, influence how work is done across the team, set quality standards, provide guidance to peers, and mentor other individual contributors through influence.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation
  • Paid holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts
  • Incentive pay program based on company performance, job level, and individual performance

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