Staff Product Manager (Artificial Intelligence)

Join Brex, a company dedicated to empowering employees to make better financial decisions. As a Staff Product Manager, you will be at the forefront of our mission, working on our core AI team to build agents for finance administration. You will set the product direction, translate complex finance workflows into agent behavior, and work directly with finance admins to drive product iterations. This role requires a strong background in product management, technical depth, and a genuine interest in finance and data reporting.

• Identifying and scoping out impactful opportunities for Brex to tackle, particularly in the area of AI for finance administration.
• Setting product direction, deciding on capabilities to build, and working closely with finance teams to understand their needs and trust in AI agents.
• Translating complex finance workflows into agent behavior, defining what "good judgment" means for an agent operating on someone else's money, and iterating toward effective solutions.

• Depth in company workflows or in data and reporting, and genuine interest in the other — the queues, approvals, and exceptions an admin works through, or how people get answers out of their own data and what it takes to model it so those answers are right
• You're an experienced product manager. You have a track record of owning complex, user-facing products end to end — setting direction and shipping to real users — with the scope and judgment this senior role calls for
• 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
• You move fast and go deep — comfortable prototyping, reading data, and getting into the details rather than working through layers
• Strong product taste and judgment about what's worth shipping to customers and what isn't
• You've built for company admins, and you've built it for customers. You've shipped software to the personas who keep a company running — finance, accounting, HR, payroll, IT, compliance, data — and you know how much this can vary from one company to the next. It matters that this was product you sold to other companies, not an internal system inside your own
• 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
• Hands-on depth in prompting or eval design; familiarity with fintech, expense management, or accounting workflows