Staff Software Engineer

WHAT YOU'LL DO

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.

Your responsibilities will include:

• 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
• Collaborating closely with Product, Design, and ML engineering teams to turn a fast-moving AI product roadmap into intuitive, reliable software
• 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
• Leading efforts in web application architecture to ensure scalability, maintainability, and performance across our platform
• Influencing Braze’s product strategy and roadmap by providing technical insights and driving innovation in user experience
• Mentoring engineers, providing guidance on technical growth, and fostering a high-performance engineering culture
• Supporting teams implementing Braze’s AI solutions to ensure customer success and facilitate effective collaboration

WHO YOU ARE

• Have 7+ years of relevant experience with a strong track record of delivering impact
• 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
• 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
• Have a strong background in designing and maintaining scalable web application architectures
• 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
• 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
• Have a user-centric attitude and are passionate about creating exceptional user experiences
• Take pride in writing elegant, maintainable code and fostering a culture of quality within your team
• Are comfortable navigating a large codebase with multiple stakeholders and driving consensus on technical decisions
• Have experience mentoring engineers and contributing to their technical development

Strongly Preferred:

• Experience developing user experiences for machine learning and data-intensive applications
• Experience building product surfaces on top of LLMs and agentic systems (embeddings, agent orchestration, evaluation)
• Experience with Python and/or Ruby on Rails

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.