Staff Engineer, AI-Driven Spend Systems

Neobankbeat; San Francisco (CA); Hybrid; USD 240,000 - 285,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Brex is seeking a Staff Software Engineer for the Travel Expense domain in San Francisco. You will operate across cross-team areas, set technical direction, and mentor engineers to raise the bar on design and execution.

This leadership role emphasizes building scalable backend systems, fostering collaboration with EMs, and applying an AI-forward mindset. The hybrid role requires on-site presence in San Francisco with some remote work availability.

Qualifications

• 8+ years of software engineering experience with a track record of technical leadership across multiple teams or a group.
• Demonstrated ability to identify and drive cross-cutting problems to resolution without a defined charter.
• Deep experience designing and operating large-scale backend systems in production.
• Strong collaboration skills and ability to work with ICs and managers.
• Excellent written and verbal communication.

Responsibilities

• Identify high-impact technical problems across Travel Expense and drive them to resolution.
• Set and raise the technical bar through design reviews and architecture decisions.
• Partner with Staff Engineers and EMs to align on direction and unblock execution.
• Mentor senior engineers and grow the next generation of technical leaders.
• Bring an AI-forward mindset to how the org builds, reviews, and operates.
• Contribute to the group's technical strategy and inform leadership investments.

Skills

Leadership across teams

Backend systems design

Cross-team collaboration

Mentoring engineers

Communication

Job description

Brex is seeking a Staff Software Engineer for the Travel Expense domain in San Francisco. You will operate across cross-team areas, set technical direction, and mentor engineers to raise the bar on design and execution.

This leadership role emphasizes building scalable backend systems, fostering collaboration with EMs, and applying an AI-forward mindset. The hybrid role requires on-site presence in San Francisco with some remote work availability.