Jobs / United States / General Motors Company

General Motors Company

Technical Product Operations Manager

3 Locations Posted today

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Skills this job asks for

SEOProduct managementMachine learningLeadership

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What General Motors Company paid sponsored hires in similar roles13 certified filings for “Senior Product Manager” (Robotics Engineers) in MI: $142k–$165k, median $155k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What General Motors Company paid sponsored hires in similar roles
13 certified filings for “Senior Product Manager” (Robotics Engineers) in MI: $142k–$165k, median $155k. Most were filed at wage level IV (62%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 vehicle   onroad   and in   simulation.      We are looking for a   Technical Product Operations Manager   who can oversee data products that directly   impact   the 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 role   operates   as a   high ‑ impact   individual contributor, owning critical workflows   end ‑ to ‑ end   while influencing how work is done across the team. It requires a blend of operational leadership, analytical rigor, and technical depth, and is   execution ‑ oriented   with 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 on   additional   leadership scope as the organization scales. Depending on background and business needs, the role may emphasize simulation and test quality, issue   taxonomy   and analysis, or   large ‑ scale   labeling operations, all grounded in strong systems thinking and   cross ‑ functional   leadership.   The role combines operational ownership, program leadership, and technical depth to drive analytical and   systems ‑ level   problem ‑ solving   that 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—directly   impacting   the speed, safety, and reliability of advanced vehicle systems.   What You'll Do • Own the data product that supports simulation and test issue management, ensuring it   remains   accurate , scalable, and aligned to protocol execution needs.    • Maintain, and evolve issue categories to ensure consistent interpretation and   high ‑ quality   protocol data through close collaboration with simulation partners .       • Identify   gaps, 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 and   decision ‑ making .    • Contribute to adjacent data products and pilot initiatives, flexing across SEO’s portfolio to enhance operational excellence and data reliability.    • Identify   and 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 pr oducts, operational workflows, or   AV ‑ related   systems.    • Strong communication   skills, including the ability to craft clear summaries, present insights, and communicate recommendations to senior stakeholders.    • Demonstrated analytical rigor, with experience

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