Staff Product Manager, AI
Brex · New York, New York, United States · Product · listed July 1, 2026
The shape of it
Seniority
Manager
Experience asked
7–12 years
Where
Remote
Stated pay
$240,000 – $300,000
Requirements listed
5
Length
1,329 words
In the posting’s own words
The Brex Assistant is an AI agent that acts as an executive assistant for every employee — handling the expense, spend, and travel busywork they'd otherwise do by hand, and meeting them where they already are, in chat and over SMS. No app to open, no form to fill; the agent understands what you need and takes real actions on your behalf, in a conversation.
What it asks for · 5
- You're an experienced product manager (7-12 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.
What the job covers
- 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.
Tools and skills named
Models & research
- Evaluations3×
- Prompt engineering2×
- LLM
Product & design
- Product management
- Prototyping
- Roadmap
Ways of working
- Cross-functional
Words the posting leans on
- product13×
- agent12×
- real9×
- assistant7×
- spend6×
- design5×
- right5×
- users5×
- end4×
- evals4×
- expense4×
- rather4×
- set4×
- take4×
- card3×
- deep3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Brex
- Account Executive, Small BusinessSalt Lake City, Utah, United States
- Account Executive, Small BusinessNew York, New York, United States
- Account Executive, Small BusinessSan Francisco, California, United States
- Account Executive, YCSan Francisco, California, United States
- Account ManagerSan Francisco, California, United States
- AI Engineer, EcosystemSan Francisco, California, United States