Jobs / United States / Nvidia Corporation
Senior Product Manager, Agent Optimization
Nvidia Corporation · 🇺🇸 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 2,374 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 394 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 Nvidia Corporation paid sponsored hires in similar roles7 certified filings for “Product Manager” (Marketing Managers) in CA: $180k–$217k, median $201k. 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).
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 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 394 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 Nvidia Corporation →
About the role
NVIDIA needs a Senior Product Manager to lead our applied research-to-product pipeline for agent optimization. Our applied AI research engineering team invests in multiple areas related to optimizing agents for improved quality, cost efficiency, and safety. Projects include helping developers find important signals in large-scale trace datasets, crafting trustworthy custom evals for production agents, and continual learning to improve harness and model behavior. Manage fast paced research and early partner collaborations into open source tools that impact how agents are diagnosed, evaluated, and improved across the industry! What you’ll be doing: • Drive the product strategy and relevant roadmaps for specific projects in your portfolio. Set priorities, quality bars, and clear product outcomes together with research & engineering teams. • Work directly with agent builders, observability and eval tool providers, and other partners to secure early-access engagements, make joint research & integrations successful, and turn market feedback into research directions and stronger product capabilities. • Partner with engineering & research to translate new findings and techniques into usable products and features. • Define the developer experience and product interfaces for relevant open source tools in your portfolio. • Partner with engineering and adjacent product teams to improve reliability, usability, documentation, benchmark coverage, and how multiple tools work together. • Build the adoption motion with Product Marketing, Solution Architects, and GTM teams. Identify qualified partners and workloads, guide pilots, and create repeatable adoption playbooks. • Establish the messaging and narrative for how our teams talk about agent optimization and continuous improvement loops. Clarify the distinct value of each product in your portfolio together with Product Marketing. • Define and inspect the evidence for success across research results, product results, partner outcomes, open source adoption, and publications. Own the outcomes and decide what to scale, change, stop, or incubate next. What we need to see: • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field, or equivalent experience. • 12+ years of product management or closely related experience building technically sophisticated, zero-to-one AI or developer products. • A record of turning ambiguous research or emerging technical capabilities into adopted products through a partnership motion, integrations, or open source. • Technical fluency in agent architectures, observability, evaluation design, and automated experimentation techniques. • Ability to engage mature customers and ecosystem partners independently, recruit design partners, uncover real production constraints, and guide GTM teams through emerging zero-to-one projects. • Positive relationship with Engineering and Research teams. Ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation. • An evidence-driven product approach grounded in reproducible benchmarks, explicit success criteria, and clear judgment about which claims the results support. • Excellent written and verbal communication, portfolio-level prioritization, and the ability to align senior technical and business leaders around a clear product narrative. Ways to stand out from the crowd: • Experience building agent infrastructure, AI observability, evaluation, optimization, or developer tooling at a frontier AI lab or high-caliber startup. • Direct experience designing benchmarks, eval systems, experimentation approaches, or contributing to research publications for AI products. • A track record with open-source communities, SDKs, platform integr