Brex
Fintech · Corporate cards
- HQ
- San Francisco, US
- Founded
- 2017
- Website
- brex.com
Brex has 57 active AI-related job listings. The majority of these roles, 72%, are in the agents stage, with application roles making up another 23%. Engineering is the most frequent function for these hires. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on building and managing AI agents.
Currently tracking 29 active AI roles, up 52% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$425k (avg $250k).
Brex currently has 20 active AI-related roles in our index. The most common open titles are: Director of Product, Growth/AI (4), Engineering Manager, GTM Engineering (4), Group Product Manager (4), Staff Product Manager, Growth (4), Senior Software Engineer, Product Data Platform (2). Most positions are in Product and Engineering.
Brex's active AI hiring is concentrated in: agents (55%), application (40%), data (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Brex is hiring AI talent in: United States (20 roles), Canada (7 roles), Brazil (1 role).
Job postings at Brex most frequently mention: Product Management, Product Impact, Technical Leadership, Content Generation, Agentic Systems.
| Title | Stage | AI score |
|---|---|---|
| Data Engineer Brex is seeking a Data Engineer to transform raw data into actionable insights by building and maintaining data models, pipelines, and analytics frameworks. The role involves collaborating with Data Scientists and business units, ensuring data quality, and integrating various data sources. The engineer will also use agentic AI to speed up pipeline and quality work. | Data | 5 |
| Salesforce Administrator II This role is for a Salesforce Administrator II at Brex, focusing on configuring, maintaining, and scaling the Salesforce ecosystem for Sales, Support, and Operations teams. The role involves building scalable solutions, automating complex processes, and ensuring data quality within the Salesforce platform. Responsibilities include managing day-to-day administration, owning configuration tasks end-to-end, building automation logic, participating in the SDLC, and tuning existing configurations. The ideal candidate has 2+ years of experience as a Salesforce Administrator with proficiency in declarative development, security models, and DevOps pipelines. | — |
| 0 |