Brex Internship Program

<div class="content-intro"><p><strong>Why join us</strong></p> <p>Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p> <p>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.</p></div><p><strong>The Brex Internship Program</strong></p> <p>Throughout this 1–2 year program, you'll be placed within one of our G&amp;A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.</p> <p>You'll challenge the status quo and improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During this program, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.</p> <p>The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.</p> <p><strong>Where You'll Work</strong></p> <p>This role will be fully remote and based in São Paulo. While this role will not have required in-office days, you are welcome to work from our São Paulo office.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Handle day-to-day tasks efficiently.</li> <li>Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.</li> <li>Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.</li> <li>Collaborate with EPD, G&amp;A, GTM, and Legal to translate business needs into practical automation solutions.</li> <li>Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Currently pursuing a bachelor’s degree with graduation between July 2027 - July 2028.</li> <li>Demonstrated experience using AI tools and applying effective prompting skills.</li> <li>Strong problem-solving abilities and comfort working through ambiguity.</li> <li>Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.</li> <li>Proven ability to work both independently and in cross-functional teams.</li> <li>Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.</li> <li>Desire to contribute in a fast-paced environment with a founding team member mindset.</li> </ul> <p><strong>Bonus Points&nbsp;</strong></p> <ul> <li>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.</li> <li>Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.</li> <li>Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.</li> <li>Leadership roles in university clubs or organizations related to data scie