Jobs / United States / Waymo LLC

Waymo LLC

Senior Product Manager, New Platform Discovery and Validation

Mountain View, CA, USA; San Francisco, CA, USA Posted today

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Skills this job asks for

Product managementBudgetingLeadershipMachine learningTranslation

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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 290 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 Waymo LLC paid sponsored hires in similar roles8 certified filings for “Product Manager” (Information Technology Project Managers) in CA: $207k–$245k, median $230k.
  • 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 290 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 Waymo LLC paid sponsored hires in similar roles
8 certified filings for “Product Manager” (Information Technology Project Managers) in CA: $207k–$245k, median $230k. Most were filed at wage level IV (63%) — 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

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. This role follows a hybrid work schedule and reports to the Product Management Lead of New Platform Introductions (NPI) . You will: • Own New Platform Perception Evaluation strategy and coverage across next-generation vehicle, sensing, and compute platforms • Lead product planning for New Platform Simrack capacity, demand forecasting, and execution efficiency across compute generations, optimizing resource allocation and test coverage to shift-left timing, reliability, and fidelity Discovery and Validation • Define and execute the New Platform Introduction (NPI) Closed-Course Rider-Only (CC-RO) structured testing strategy and roadmap, partnering with Systems Engineering to shake down new vehicle, hardware, and firmware configurations and accelerate RO issue discovery prior to public road deployment • Own RO Deployment ADC (RDA) as a product, defining the vision, requirements, and roadmap for an RO-representative autonomous testing mode that exercises end-to-end depot automation loops (charging, auto PC, map updates), off-hail behaviors, long-duration engagement, fault policies, and fleet response (RAD/RS) before commercial launch • Drive NPI ADC Internal trip delivery, aligning NPI validation trip demand with vehicle supply, fleet allocation, and Commercialization/Operations partners to surface rider UX (doors, windows, cabin controls) and driving quality issues early • Partner cross-functionally with Hardware, Systems Engineering, Firmware, and Diagnostics teams to build a cohesive shift-left discovery and validation funnel (spanning HIL Simrack, Car-on-Bench, Closed-Course, RDA, and Internal trips) that compresses new platform bring-up timelines from prototype to commercial deployment You have: • 7+ years of product management or technical program/systems leadership experience in autonomous vehicles, robotics, complex hardware-software systems, ML/perception evaluation, or large-scale testing and validation infrastructure • Demonstrated track record of owning complex technical products end-to-end—translating ambiguous system-level validation and operational challenges into clear product requirements, metrics, and multi-quarter roadmaps • Strong analytical foundation in capacity and demand planning, resource optimization, and operational efficiency for constrained hardware/compute test assets • Deep systems thinking with the ability to reason across the full autonomous stack—from sensors, compute, firmware, and base vehicle integration to perception/ML models, onboard softw

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