Technical Product Operations Manager

General Motors Company; United States; Remote; USD 84,000 - 163,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

GM vehicle discounts

Job summary

General Motors is seeking a Technical Product Operations Manager to own data products integral to simulation and test workflows for autonomous driving. You will help standardize issue taxonomy, drive metrics and dashboards, and influence cross‑functional ways of working with simulation partners.

The role blends operational leadership, analytical rigor, and technical depth, with opportunities to expand leadership scope as the organization scales.

Qualifications

• 3+ years in analytics/ops or similar environments.
• Bachelor’s degree or equivalent practical experience.
• Experience with data products, operational workflows, or AV-related systems.
• Strong communication with senior stakeholders.
• Demonstrated analytical rigor with data-driven insights.
• Experience collaborating across teams with differing priorities.
• Comfort balancing strategic thinking and hands-on execution.
• Willingness to ask hard questions and improve data quality.

Responsibilities

• Own the data product that supports simulation and test issue management.
• Maintain and evolve issue categories for consistent interpretation.
• Identify gaps, refine issue definitions, and standardize taxonomy.
• Create metrics, dashboards, and analyses to surface trends.
• Contribute to adjacent data products and pilot initiatives.
• Drive opportunities to scale simulation/test issue workflows.

Skills

Strong communications

Analytical thinking

Cross‑team collaboration

Strategic mindset

EQ and execution

Education

Bachelor’s degree or equivalent

Tools

SQL

Python

Job description

The Scaled Engineering Operations (SEO) team applies human intelligence to some of the toughest problems facing AV development at General Motors (GM). We work closely with cross-functional teams across Engineering, Product Management, and Business to create and iterate on products that move our business forward. We are integral to the development of GM’s ADAS technology. Our products include annotated dataset for machine learning and pareto development, strategic test creation and management, and structured reviews of critical events & simulations to understand the performance of the vehicleonroadand insimulation.

We are looking for aTechnical Product Operations Managerwho canoversee data products that directlyimpactthe rapid, efficient, and safe operations of autonomy in GM’s vehicles.Specifically, this individual will need to become well-versed in GM's simulation and testing space.

This roleoperatesas ahigh‑impactindividual contributor, owning critical workflowsend‑to‑endwhile influencing how work is done across the team. It requires a blend of operational leadership, analytical rigor, and technical depth, and isexecution‑orientedwith significant scope for impact. The role is expected to set the bar for quality, provide guidance to peers, and mentor other ICs through influence, with opportunities to take onadditionalleadership scope as the organization scales. Depending on background and business needs, the role may emphasize simulation and test quality, issuetaxonomyand analysis, orlarge‑scalelabeling operations, all grounded in strong systems thinking andcross‑functionalleadership.

The role combines operational ownership, program leadership, and technical depth to drive analytical andsystems‑levelproblem‑solvingthat improves quality, scalability, and trust across our core systems. It sits at a critical inflection point between engineering complexity and operational scale, shaping how data, tests, and issues are defined, measured, and acted upon—directlyimpactingthe speed, safety, and reliability of advanced vehicle systems.

What You'll Do

• Own the data product that supports simulation and test issue management, ensuring itremainsaccurate, scalable, and aligned to protocol execution needs.
• Maintain, and evolve issue categories to ensure consistent interpretation andhigh‑qualityprotocol data through close collaboration with simulation partners.
• Identifygaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows.
• Support the creation of metrics, dashboards, and analyses that surface trends and inform prioritization anddecision‑making.
• Contribute to adjacent data products and pilot initiatives, flexing across SEO’s portfolio to enhance operational excellence and data reliability.
• Identifyand drive opportunities for process improvements that make simulation/test issue workflows more scalable, efficient, and resilient as the AV software stack evolves.

Your Skills & Abilities

• 3+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments.
• Bachelor’s degree in a relevant field or equivalent practical experience.
• Experience contributing to strategies and solutions within a complex, rapidly evolving domain, ideally involving data products, operational workflows, orAV‑relatedsystems.
• Strong communicationskills, including the ability to craft clear summaries, present insights, and communicate recommendations to senior stakeholders.
• Demonstrated analytical rigor, with experience posingdata‑drivenquestions, conducting insightful analysis, and developing or improving metrics and KPIs.
• Experience collaborating across teams with differing priorities, helping drive clarity, shared understanding, and forward progress.
• Comfort switching between strategic thinking andhands‑onexecution, adapting to evolving needs with sound judgment and EQ.
• Willingness to askhard questions, challenge assumptions, and surface inconsistencies to improve data quality and operational clarity.
• Familiarity with SQL.

What Will Give You A Competitive Edge

• 5+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments
• Proficiencyin SQL andPython 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, includingday‑to‑dayoperational coordination
• Comfort acting as a product owner for internal tools, including documenting requirements, prioritizing asks, and influencing roadmaps
• Experience designingforward‑lookingstrategies within complex, rapidly evolving technical ecosystems—or a strong passion forself‑drivingtechnology and its transformative potential

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.

• The salary range for this role is $83,800 and $163,400. 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 incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.