Jobs / United States / Brex INC
Staff Product Manager, AI
Brex INC · 🇺🇸 New York, New York, United States
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 23 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 17 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 Brex INC paid sponsored hires in similar roles1 certified filing for “Product Manager” (Information Technology Project Managers) in NY: $127k–$127k, median $127k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Brex INC
The US Department of Labor certified 23 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 17 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 Brex INC →
About the role
Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Product at Brex The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential. Unlocking AI Agents for the Finance Admin Companies buy Brex to run their spend, and the person on the hook for that is the finance admin — a controller, an accounting manager, a finance ops lead. Their job comes down to two things they can never quite get ahead of: making sure money is being spent compliantly and documented in time to close the books, and knowing where the company's money is actually going. Today they do both by hand, at a scale that doesn't work. Roughly 4% of travel and entertainment spend is out of policy — for a company spending $10M a year, that's $400K in violations, duplicates, missing receipts, and overspend. Most companies never find it, because finding it means a human reading transactions one at a time. The ones who do find it either staff a review team or bolt on a separate audit product with its own login. On the other side, the questions that actually matter — where did spend grow this quarter, which team is drifting, what's driving the number — sit behind a queue for an analyst, or a spreadsheet the admin builds themselves at month-end. Nobody is continuously watching. The AI team is working to give every finance admin two people they can't hire today: an auditor and a business analyst. • The auditor. An agent that reads a company's own expense policy and audit rules and reviews every transaction against them — not a 10% sample. It investigates what looks wrong, gathers the missing context by going back to the employee who spent the money, groups what a human should look at, recommends the action, closes what it can safely close, and surfaces the patterns underneath: which policies are constantly broken, which employees are repeat risks, where the real exposure is. Done right, it turns expense compliance from a post-mortem into a first line of defense that runs on every transaction, and shrinks the review pile to the exceptions that genuinely need a person. • The business analyst. An agent that answers the questions an admin would otherwise hand to an analyst — asked in plain language against their real spend data — then learns which numbers they care about, turns those into reports their whole company can use, and eventually watches thos