Senior Product Manager, AI

The posting, as Brex wrote it

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

[…]
nswers out of their own data and what it takes to model it so those answers are right.

• You have technical depth, and you've worked on systems without a single correct answer . Having built agentic software is a strong plus. Probabilistic, optimization-driven systems where "done" doesn't exist and the work is making it steadily better: AI/ML, search and ranking, marketplace matching, risk and fraud detection, game engines. You're comfortable when the spec is an outcome and a set of signals rather than a decision tree. Also, if you've shipped an agent that real users depended on — designed the evals, iterated the prompts, worked out where it should act on its own versus stop and ask, and lived through the failure modes — say so and tell us what you learned.
• You're comfortable with ambiguity and with systems you can't fully predict . You pull signal out of noise, make good intuitive bets, and ship and refine rather than holding out for a perfect answer. Perfect is the enemy of good here.
• Strong product taste and judgment about what's worth shipping to customers and what isn't.
• You move fast and go deep — comfortable prototyping, reading data, and getting into the details rather than working through layers.

Nice to have : hands-on depth in prompting or eval design; familiarity with fintech, expense management, or accounting workflows.

Compensation

The expected salary range for this role is $184,000 - $230,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.