Senior Product Manager, AI

Brex • Seattle, WA

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 AI agents for finance administrators. This role involves end-to-end ownership of an AI agent, defining its product direction, capabilities, and behavior. The product manager will work closely with engineering, design, and research to ensure the agents are trustworthy and effective in managing company spend, compliance, and financial data. The position offers the opportunity to shape the future of AI in finance operations, with the backing of an established company and the pace of a startup. The role requires a deep understanding of company workflows, technical depth in probabilistic systems, and comfort with ambiguity. The product manager will be responsible for defining "good judgment" for AI agents, building evaluation methods, and iterating based on customer feedback.

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, 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.
• Technical depth, and experience working on systems without a single correct answer. Having built agentic software is a strong plus. Experience with 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.
• 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 — 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.
• Comfortable with ambiguity and with systems you can't fully predict. Ability to pull signal out of noise, make good intuitive bets, and ship and refine rather than holding out for a perfect answer.
• Strong product taste and judgment about what's worth shipping to customers and what isn't.
• Ability to move fast and go deep — comfortable prototyping, reading data, and getting into the details rather than working through layers.

Nice To Haves

• Hands-on depth in prompting or eval design.
• Familiarity with fintech, expense management, or accounting workflows.

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.

Benefits

• Global corporate cards and banking
• Intuitive spend management
• Bill pay
• Travel software
• AI-native automation
• World-class service
• Tools, resources, and support for career growth
• Equity and other forms of compensation may be provided as part of a total compensation package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed