Вакансии · Brex

Senior Product Manager, AI

Brex · Сан-Франциско, США · опубликовано 3 сентября
SeniorПродакт
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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.

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. We combine corporate cards, banking, spend management, bill pay, and travel into one AI-native platform — trusted by companies like DoorDash, Coinbase, Anthropic, OpenAI, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex lets you 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 an inclusive culture, and we believe your potential should only be limited by how big you can dream.

Following Capital One's acquisition of Brex, AI is one of our biggest areas of investment — with real backing and stability behind the bet.

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

Together they add up to a single answer for the customer: am I in control of my company's money?

As a PM on Finance Admin AI, you'd take point on one of them with real, end-to-end ownership — which one, and how much of the other you pick up, is something we'll shape around where you're strongest and what the team needs when you start.

Both are early and real — in customers' hands, with the gaps that implies. And no one has a finished playbook for this: what makes an agent's judgment about a policy trustworthy enough to act on, how you evaluate an answer that has no single correct value, how you keep quality moving up as the models shift underneath you. You'll invent much of that, with the ownership and pace of a startup and the backing of an established company behind you.

What you'll do…

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