Jobs / United States / General Motors Company
Senior Product Manager - Simulation Evaluation Applications
General Motors Company · 🇺🇸 2 Locations
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. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles13 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).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — General Motors Company
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. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description The Role 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. Autonomous vehicles are central to achieving this vision—where long‑term innovation meets safety, customer trust, and durable competitive advantage. The Autonomous Vehicle (AV) Product Management organization is responsible for defining and delivering GM’s autonomous driving roadmap—from near‑term customer value to long‑term eyes‑off autonomy at scale. Our mission is to deploy autonomy deliberately and profitably across GM’s portfolio, leveraging common platforms, data, and disciplined product strategy to improve safety, unlock new customer value, and create sustainable business outcomes globally. As a S enior Product Manager for Evaluation Applications , you will define and execute the strategy and roadmap for our test and evaluation platform that powers test case and suite management, test triggering and execution, and self-service analysis workflows across GM s ’ next generation autonomy te ams. T hi s role will drive innovation in how we manage and scale evaluation workflows end to end — from onboarding and organizing millions of scenarios to triggering tens of thousands of tests per request and supporting the infrastructure that transforms raw results into meaningful performance insights. You will enable high-fidelity, scalable, and trustworthy testing and analysis of GM’s next-generation autonomy and ADAS features by providing a unified platform . Success requires strong technical judgment, principled decision-making, and the ability to build alignment across engineering, product, infrastructure, and operations teams. You should be comfortable navigating ambiguity, making tough tradeoffs, and thinking both from first principles and at fleet-wide scale What You’ll Do • Own the long-term product vision, setting strategic direction for simulation e valuation applications across multiple autonomy capabilities , vehicle models and simulation modalities aligning with broader company goals. • Drive a unified platform roadmap across test management, triggering/execution, and analysis/evaluation—ensuring cohesive end-to-end workflows for internal customers. • Develop and implement strategies for systems and processes capable of evaluating simulated driving to predict on-road performance as well as evaluate on- road driving. • Lead a cross-functional team of stakeholders encompassing Embodied AI, Software Validation, Safety, Program, and Product Managers to wards highly scalable, reliable and insightful end-to-end evaluation platform . • Act as the voice of the customer s from the multiple internal GM teams across development to validation , ensuring evaluation application s not just meet the needs of the customers but delight them by pushing the envelope on the insights that are possible and their scale. • Help drive a data-driven culture and establish and monitor key metrics to measure the effectiveness of the Simulation Evaluation products Your Skills & Abilities (Required Qualifications) • 5+ years product management experience . • Bachelor's degree in Engineering , Data Science, or related fields . • Solid understanding of the modern data and analytics technology stack, including cloud data and data infrastructure • Ability to navigate ambiguity and drive projects forward, even without a clear path. • Strong sense of accountability and ownership • Proven ability to balance tradeoffs between user needs and expectations, technical requirements and constraints