The Operations Rotational Program
Throughout this 18–20 month program, you'll rotate through two of our Operations teams, developing expertise in risk management, operations, and data analysis. Building on the program’s success within Operations, some participants may also have the opportunity to rotate through other orgs at Brex, such as Accounting — gaining experience in procurement and operating expenses, cash receipts and disbursements recordkeeping, bank reconciliations, and more. You'll contribute to critical process improvements, implementing scalable solutions and leveraging AI to streamline workflows and enhance decision-making.
Where You'll Work
This role will be based in our São Paulo 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
- Handle day-to-day operational tasks efficiently.
- Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
- Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
- Collaborate with Engineering, Operations, Data, and Product to translate business needs into practical automation solutions.
- Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.
Requirements
- Bachelor’s degree.
- Demonstrated experience using AI tools and applying effective prompting skills.
- Strong problem-solving abilities and comfort working through ambiguity.
- Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
- Proven ability to work both independently and in cross-functional teams.
- Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
- Desire to contribute in a fast-paced environment with a founding team member mindset.
Bonus Points
- Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
- Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
- Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
- Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
- Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
- Familiarity with Retool, Salesforce, Hex, and Looker.
