Brex

<div><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>Engineering at Brex</strong></p>
<p>Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.</p>
<p><strong>What you'll do</strong><br />Brex's AI strategy has three pillars: Product AI builds AI into the products our customers use, Corporate AI gives every employee AI tools to work faster, and Operational AI builds the AI that runs the company. The Operational AI team owns the AI systems and internal platforms that make Brex's operations AI-native, from onboarding and KYC automation to AI-powered customer support. We're a small team with a large surface area, and our work directly shapes how fast Brex can onboard, serve, and grow its customers.<br />As a Senior Software Engineer on the team, you'll focus on Agents Platform, Brex's internal platform for building, evaluating, and running AI agents in production. It already powers critical automations in customer onboarding and AI tools for our sales and customer success teams. You'll own its technical direction, help it evolve from simple workflows into agents that take action, and make it the default way Brex ships AI into its operations.</p>
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<p><strong>Where you'll work</strong></p>
<p>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 three coordinated days in the office per week: Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work.</p>
<strong>Responsibilities</strong></div>
<ul>
<li>Own the technical direction and roadmap of Agents Platform, partnering with Operational AI leadership and the teams that build on it to decide what the platform should do next.</li>
<li>Design and build new platform capabilities, including tool calling, multi-step agent loops, multi-turn and conversational execution, and secure access to internal Brex data and services.</li>
<li>Evolve the evaluation and quality system, from datasets and labeling to run comparison and regression testing, so teams can measure and improve non-deterministic systems with production-grade rigor.</li>
<li>Strengthen the reliability, security, and observability of systems in business-critical flows like customer onboarding, including durable async and batch execution, authorization, cost attribution, and incident response.</li>
<li>Partner with engineering, operations, and go-to-market teams to launch and scale high-impact agents, translating how they work into clear platform requirements.</li>
<li>Drive adoption by making the platform easy to build on through clear contracts, paved roads, documentation, and AI-native developer workflows.</li>
<li>Mentor engineers on the team and across Brex through design reviews, code reviews, and pairing, and help grow the team's technical bench.</li>
</ul>
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<div><strong>Requirements</strong></div>
<ul>
<li>5+ years of professional software engineering experience, with a track record of designing, building, and operating reliable production backend systems.</li>
<li>Deep, hands-on experience using AI coding tools like Claude Code or Cursor in your daily work, with the judgment to ship faster without lowering the quality bar.</li>
<li>Hands-on experience shipping LLM-powered systems to production, beyond prototypes: orchestrating model calls, enforcing structured outputs, and evaluating quality over time.</li>
<li>Experience with distributed and asynchronous systems and the reliability concerns that come with them, such as retries, idempotency, backpressure, and observability.</li>
<li>A platform mindset: you've built shared infrastructure, developer tooling, or paved roads that other engineers adopt, and you care about developer experience and secure-by-default design.</li>
<li>High ownership and operational excellence, including on-call, incident response, and owning systems end to end.</li>
<li>Strong written and verbal communication, and the judgment to prioritize across many internal customers, including non-engineers. English proficiency is required, as interviews will be conducted in English.</li>
</ul>
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<div><strong>Bonus points</strong></div>
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<ul>
<li>Experience building eval frameworks, LLM gateways, or agent platforms used by other teams.</li>
<li>Experience with Temporal or another durable workflow engine.</li>
<li>Experience with service and agent authorization, such as RBAC, scoped credentials, or agents acting on behalf of users.</li>
<li>Production experience with tool use, MCP, retrieval, or agentic loops.</li>
<li>A background in ML engineering, MLOps, or data infrastructure.</li>
<li>Experience in fintech or another regulated environment, where auditability and model governance matter.</li>
</ul>
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</div><div><p><em>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</em></p></div>

Senior Software Engineer, Operational AI

<div><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><strong>Data at Brex</strong></strong></p>
<p>The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.</p>
<p><strong>What You’ll Do</strong></p>
<p>Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Drive Data &amp; AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.</li>
<li>Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring.</li>
<li>Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field</li>
<li>Demonstrated ability to own end-to-end model development, including productionization</li>
<li>Expertise in Python programming, SQL queries, and ML-related frameworks</li>
<li>Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset</li>
<li>Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services</li>
<li>Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Experience working with real-time models</li>
<li>Advanced degree (MSc/PhD) or published research in Machine Learning or a related field</li>
<li>Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)</li>
<li>Experience in the fintech industry</li>
</ul>
<p><strong>Compensation</strong></p>
<p>The expected salary range for this role is $152,000 - $190,000 + equity. 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. </p>
<p>Brex LLC is a wholly owned subsidiary of Capital One, N.A.</p><div><p><em>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</em></p></div>

Data Scientist II, Applied ML

<div><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><strong>Data at Brex</strong></strong></p>
<p>The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.</p>
<p><strong>What You’ll Do</strong></p>
<p>Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Drive Data &amp; AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.</li>
<li>Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring.</li>
<li>Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field</li>
<li>Demonstrated ability to own end-to-end model development, including productionization</li>
<li>Expertise in Python programming, SQL queries, and ML-related frameworks</li>
<li>Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset</li>
<li>Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services</li>
<li>Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Experience working with real-time models</li>
<li>Advanced degree (MSc/PhD) or published research in Machine Learning or a related field</li>
<li>Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)</li>
<li>Experience in the fintech industry</li>
</ul><div><p><em>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</em></p></div>

<div><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>Data at Brex</strong></p>
<p>Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.</p>
<p><strong>What you'll do<br /><br /></strong>As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. </p>
<p><strong>Where you’ll work</strong></p>
<p>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 three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li>
<li>Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li>
<li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li>
<li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li>
<li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li>
<li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li>
<li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li>
<li>Use agentic AI where it speeds up pipeline and quality work, without skipping validation.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li>
<li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li>
<li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li>
<li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li>
<li>Experience working with a data warehouse such as Snowflake.</li>
<li>Experience with a data workflow orchestrator tool such as Airflow.</li>
<li>Experience with a programming language such as Python. </li>
<li>Experience with agentic AI. </li>
<li>Exceptional quantitative and analytical skills.</li>
<li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Familiarity with BI tools such as Looker, Tableau, or similar platforms. </li>
<li>Solid dbt in production: models, tests, docs, and collaboration in a shared repo. </li>
<li>AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. </li>
<li>Experience with Salesforce data integration. </li>
</ul>
<p>Brex LLC is a wholly owned subsidiary of Capital One, N.A.</p><div><p><em>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</em></p></div>

Data Engineer

<div><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>Data at Brex</strong></p>
<p>Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.</p>
<p><strong>What you'll do<br /><br /></strong>As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. </p>
<p><strong>Where you’ll work</strong></p>
<p>This role will be based in our San Francisco 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 three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li>
<li>Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li>
<li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li>
<li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li>
<li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li>
<li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li>
<li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li>
<li>Use agentic AI where it speeds up pipeline and quality work, without skipping validation.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li>
<li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li>
<li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li>
<li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li>
<li>Experience working with a data warehouse such as Snowflake.</li>
<li>Experience with a data workflow orchestrator tool such as Airflow.</li>
<li>Experience with a programming language such as Python. </li>
<li>Experience with agentic AI. </li>
<li>Exceptional quantitative and analytical skills.</li>
<li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Familiarity with BI tools such as Looker, Tableau, or similar platforms. </li>
<li>Solid dbt in production: models, tests, docs, and collaboration in a shared repo. </li>
<li>AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. </li>
<li>Experience with Salesforce data integration. </li>
</ul>
<p><strong>Compensation</strong></p>
<p>The expected salary range for this role is $120,800 - $151,000. 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.</p>
<p>Brex LLC is a wholly owned subsidiary of Capital One, N.A.</p><div><p><em>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 <a href="http://brex.com/" target="_blank" rel="noopener noreferrer ugc">brex.com</a> domain. Any outreach claiming to be from Brex via other sources should be ignored.</em></p></div>

Brex

Open jobs at Brex

Senior Software Engineer, Operational AI

Data Scientist II, Applied ML

Data Scientist II, Applied ML

Data Engineer

Data Engineer

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