Senior Product Manager, AI

Brex•San Francisco, CA

3d•$184,000 - $230,000•Hybrid

About The Position

Brex is seeking a Senior Product Manager to join their core AI team, focusing on building agents for finance administrators. This role involves end-to-end ownership of an AI agent, defining its product direction, and collaborating with cross-functional teams to deliver innovative solutions. The company is investing heavily in AI, especially after its acquisition by Capital One, and this position offers the opportunity to shape the future of AI in finance operations. The Product team at Brex is responsible for identifying impactful opportunities, aligning teams, and driving products from inception to launch. The specific focus will be on developing AI agents that act as an auditor and a business analyst for finance administrators, automating tasks related to expense compliance, documentation, and financial analysis. This is an opportunity to work in a fast-paced, startup-like environment with the backing of an established company, inventing new playbooks for AI agent evaluation and trustworthiness.

Requirements

Experienced product manager with 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.
Experience building for company admins, specifically for personas who keep a company running — finance, accounting, HR, payroll, IT, compliance, data — and understanding how this varies from company to company. This should be product sold to other companies, not an internal system.
Depth in company workflows or in data and reporting, with a genuine interest in the other.
Technical depth, with experience working on systems without a single correct answer (e.g., AI/ML, search and ranking, marketplace matching, risk and fraud detection, game engines).
Comfortable when the spec is an outcome and a set of signals rather than a decision tree.
Experience shipping an agent that real users depended on, including designing evals, iterating prompts, and working out operational logic.
Comfortable with ambiguity and with systems that cannot be fully predicted.
Ability to pull signal out of noise, make good intuitive bets, and ship and refine rather than waiting for a perfect answer.
Strong product taste and judgment about what's worth shipping to customers.
Ability to move fast and go deep — comfortable prototyping, reading data, and getting into the details.

Nice To Haves

Hands-on depth in prompting or eval design.
Familiarity with fintech, expense management, or accounting workflows.
Experience building agentic software.

Responsibilities

Own product direction for your area of the Finance Admin AI surface — the strategy, the roadmap, and the day-to-day calls on what ships.
Translate messy, company-specific finance workflows — expense policies, review and approval chains, month-end close, the way each customer actually enforces its rules — into agent behavior that holds up in production.
Define what "good judgment" means for an agent operating on someone else's money, and build the evals, prompting approaches, and feedback loops that get it there — then re-invent them as the underlying models and tooling shift.
Get hands-on. Prototype, measure, read transcripts and traces, and iterate toward what actually works rather than what looks good in a demo.
Earn autonomy incrementally: figure out where the agent should recommend, where it should act, and how a customer builds enough trust to let it move from one to the other.
Work directly with finance admins at real companies, and let their usage — not assumptions — drive the next iteration.
Set and defend a high quality bar for agents operating in a trust-critical, financial context.