Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. 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. Sales at Brex The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team. What you’ll do Brex is looking for an individual to join the Revenue Operations team supporting our Post-Sales organization (Client Sales, Account Management, and Customer Success). This team is responsible for driving Net Revenue Retention (NRR), expansion, and long-term customer value. In this role, you will primarily work within Revenue Operations to support Post-Sales through reporting, data analysis, process improvements, and systems updates, improving visibility and execution across key motions such as renewals, upsell and cross-sell, churn prevention, and account health management. You will contribute to core operational initiatives including performance tracking, forecasting support, incentive and quota analysis, and coverage model execution, while maintaining and improving the data models and dashboards that power the Post-Sales organization. This role works closely with cross-functional partners such as Finance, Systems, and Data, while focusing on driving execution and analytical rigor within Revenue Operations. Where you’ll work This role will be based in our SLC 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 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 Create and maintain dashboards that provide Post-Sales leaders and operations partners with clear visibility into business performance Proactively identify opportunities to improve reporting and deliver deeper analytical insights on retention, expansion, and account health Conduct deep-dive analyses to surface trends, risks, and growth opportunities across the Post-Sales business Support the design and implementation of operational improvements in partnership with Revenue Operations team members and cross-functional stakeholders Evaluate tool usage and effectiveness to optimize our Post-Sales tech stack Build and maintain capacity and funnel models to support planning and scenario analysis Support ad hoc data requests, including account deep dives and compensation tracking Requirements 2+ years of experience in revenue operations, sales operations, business operations, sales finance, or similar; preferably at a Fintech or SaaS company Strong problem solving skills and collaborative approach to solutioning Excellent written and verbal communication, especially with complex concepts Analytical mindset with a high bar for data precision and accuracy Self-motivated and able to run with projects autonomously with minimal oversight Advanced spreadsheet and modeling skills Moderate SQL skills with experience in data visualization tools (Looker or Hex experience a plus) High familiarity with CRM data models (Salesforce preferred) Experience leveraging AI tools to improve analysis, reporting, or operational efficiency Strong attention to detail including in documentation Bonus Points Experience with sales compensation design and tracking Knowledge of revenue recognition principles and finance systems Familiarity with Net Revenue Retention (NRR), churn analysis, and expansion metrics Experience working with product or usage data (e.g., product analytics or customer health scoring) Compensation The expected salary range for this role is $101,600 to $127,000. Starting base pay will depend on factors including location, skills, experience, market demand, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be included as part of the total compensation package. Please be aware, job-seekers may be at risk of targeting by malic