招聘

Engineering Manager, AI — Brex Assistant
Seattle, Washington, United States
·
On-site
·
Full-time
·
1mo ago
薪酬
$240,000 - $300,000
福利待遇
•Equity
•Flexible Hours
必备技能
Engineering leadership
Product Management
System design
Team mentoring
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including Door Dash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
AI at Brex
AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works.
What you’ll do
As an Engineering Manager for the Brex Assistant, you’ll lead a team building a consumer-facing conversational AI product that helps customers move faster and with more confidence in moments that matter: approving spend, understanding policy, resolving issues, and making financial decisions without friction. You’ll be accountable for both people leadership and product outcomes, guiding how agentic systems are designed, shipped, and operated in production.
This is a deeply product-driven role. Success is measured by real customer impact — better expense documentation, stronger policy compliance, and less time spent navigating Brex — not by novelty or research output.
Where you’ll work
- This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office
- Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
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Lead and grow a team of engineers building the end-to-end conversational experience for the Brex Assistant, including outbound system-initiated interactions and inbound chat.
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Operate at all levels, guiding your team through complex technical challenges while being hands on with code and contributing to design.
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Own delivery and outcomes for the Assistant roadmap, making and executing hard sequencing decisions for agent capabilities (e.g., memory, preferences, merchant data).
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Set and uphold a high bar for reliability, correctness, and UX in non-deterministic, agentic systems operating in real-world financial workflows.
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Partner closely with Product, Design, and adjacent engineering teams (Spend, Expense, Platform) to shape direction and integrate deeply with core Brex workflows.
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Establish strong team norms and execution standards, balancing velocity with validation, quality control, and operational excellence.
Requirements
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Proven experience leading engineering teams building user-facing products in complex, real-world domains.
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Strong product judgment, with a track record of making hard tradeoffs and delivering outcomes under real constraints.
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Experience building and operating systems that must remain reliable despite messy inputs, ambiguity, or non-deterministic behavior.
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Ability to translate high-level product goals into clear technical direction and execution plans, while mentoring engineers through strong technical and product guidance.
Bonus points
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Development experience with Typescript while leading consumer-facing AI products, especially in regulated or high-stakes domains (finance, healthcare, travel).
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Direct experience with conversational UX, agents, or other non-deterministic systems in production.
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Prior experience as a tech lead for agentic systems, particularly in spend or financial workflows.
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Personal empathy for spend-heavy workflows (frequent travel, recruiting, managing expenses on behalf of a company).
Compensation
The expected salary range for this role is $240,000 - $300,000. 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.
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关于Brex

Brex
AcquiredBrex Inc. is an American financial service and technology company that offers business credit cards and cash management accounts to technology companies.
1,001-5,000
员工数
San Francisco
总部位置
$12.3B
企业估值
评价
3.9
10条评价
工作生活平衡
2.8
薪酬
4.2
企业文化
3.4
职业发展
4.0
管理层
2.5
65%
推荐给朋友
优点
Great learning opportunities and challenging work
Excellent compensation and benefits
Supportive and collaborative team environment
缺点
Fast-paced and overwhelming environment
Poor work-life balance and long hours
Management disorganization and lack of direction
薪资范围
40个数据点
Junior/L3
L2
L3
L4
L5
L6
Senior/L5
Intern
Junior/L3 · Operations Analyst
1份报告
$54,538
年薪总额
基本工资
$47,424
股票
-
奖金
-
$54,538
$54,538
面试经验
4次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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