Senior Product Manager, AI

What you'll do You'll own the Brex Assistant end to end — a product that can touch every Brex cardholder, yours to shape top to bottom. You'll set the product direction and strategy, decide which capabilities to build and how they should behave, and talk to users constantly to figure out what will actually help them. From there you go as deep as it takes to make it real — shaping the agent's behavior, writing and iterating prompts, designing the evals that prove it works, and digging into traces when it breaks. You'll partner closely with engineering, design, and research, and you'll set the quality bar for an agent that real people trust with real money. Where you'll work This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday, and Thursday. Remote work is allowed up to 4 weeks per year, in increments of at least one week. Responsibilities Own product direction for the Brex Assistant — the strategy, the roadmap, and the day-to-day calls on what ships. Define agent capabilities that take real actions for users, and translate messy real-world expense and spend workflows into reliable agent behaviors. Invent the "how": design the evals, prompting approaches, and feedback loops that make the agent dependable — and re-invent them as the underlying models and tooling shift. Get hands-on. Prototype, measure, read transcripts, and iterate quickly toward what actually works rather than what looks good in a demo. Talk to users constantly, and let real usage — not assumptions — drive the next iteration. Set and defend a high quality bar for an agent operating in a trust-critical, financial context. Requirements You're an experienced product manager (5-7 years of relevant experience). 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've built AI products for other people. You've shipped LLM/agent features to real users and have genuine, hands-on depth in prompting, eval design, and iterating against measurement — not just using AI tools in your own day-to-day. You thrive in ambiguity. You do your best work when the goal is clear but the path isn't — you find the approach, ship, measure, and refine. You've owned something early-stage or taken a problem area and run with it on your own initiative (as a founder, an early operator, or an early or only PM on a surface), working closely with engineering and design rather than in isolation. 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: experience building conversational, chat-native, or SMS-based products; familiarity with fintech, expense management, or spend 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. 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.