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.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Brex on July 24, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.