Staff Software Engineer

About this role

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.</p> <p>If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>As a Staff Engineer on Braze’s AI Decisioning Experience team, you will play a pivotal role in shaping the future of our AI decisioning (reinforcement learning-based personalization) solutions. You will lead high-impact initiatives, mentor other engineers, and collaborate with cross-functional teams to drive innovation and excellence in our product offerings.</p> <p>Your responsibilities will include:</p> <ul> <li>Leading high-impact initiatives across Decisioning Studio, Braze's AI Decisioning product line, on both the self-serve DS Go and managed DS Pro tiers: agent setup, creative, and launch workflows, the reporting that helps marketers understand and trust the results, and the services that connect the UX to our ML pipelines</li> <li>Collaborating closely with Product, Design, and ML engineering teams to turn a fast-moving AI product roadmap into intuitive, reliable software</li> <li>Building the full stack of these experiences, from dashboard UI down to the APIs and services that connect the Braze platform to our ML pipelines</li> <li>Leading efforts in web application architecture to ensure scalability, maintainability, and performance across our platform</li> <li>Influencing Braze’s product strategy and roadmap by providing technical insights and driving innovation in user experience</li> <li>Mentoring engineers, providing guidance on technical growth, and fostering a high-performance engineering culture</li> <li>Supporting teams implementing Braze’s AI solutions to ensure customer success and facilitate effective collaboration</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li>Have 7+ years of relevant experience with a strong track record of delivering impact</li> <li>Work comfortably across the full stack: you can design and build the data models, APIs, and background jobs behind your features, and own a product surface end to end</li> <li>Are a strong frontend developer (TypeScript, React; Vue experience is a plus) with a high bar for polished, intuitive user experiences, including the testing discipline to keep them reliable</li> <li>Have a strong background in designing and maintaining scalable web application architectures</li> <li>Are an expert practitioner of agentic development: AI coding agents are your default workflow, you build reusable skills and automation that raise the whole team's velocity, and you have a track record of dramatically above-baseline throughput without sacrificing quality</li> <li>Communicate with clarity in writing and in person: you produce design docs and technical proposals that people actually read, and you can explain complex systems to engineers, product partners, and stakeholders alike</li> <li>Have a user-centric attitude and are passionate about creating exceptional user experiences</li> <li>Take pride in writing elegant, maintainable code and fostering a culture of quality within your team</li> <li>Are comfortable navigating a large codebase with multiple stakeholders and driving consensus on technical decisions</li> <li>Have experience mentoring engineers and contributing to their technical development</li> </ul> <p>Strongly Preferred:</p> <ul> <li>Experience developing user experiences for machine learning and data-intensive applications</li> <li>Experience building product surfaces on top of LLMs and agentic systems (embeddings, agent orchestration, evaluation)</li> <li>Experience with Python and/or Ruby on Rails</li> </ul> <p>For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $299,812/year with an expected On Target Earnings (OTE) between $204,000 and $332,400/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.</p><div class="content-conclusion"><div class="p-rich_text_section"> <p><strong>WHAT WE OFFER<br></strong></p> <p><em>Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country </em><a href="https://www.braze.com/company/careers/how-we-hire#benefit-section"><em>here</em></a><em>. More details on benefits plans will be provided if you receive an offer of employment.</em></p> <p>From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:</p> <ul> <li>Competitive compensation that may include equity</li> <li>Retirement and Employee Stock Purchase Plans</li> <li>Flexible paid time off</li> <li>Comprehensive