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 Canada, the pay range at the start of employment for this position is expected to be between CA$184,000 - CA$314,000/year, with an expected On Target Earnings (OTE) between CA$204,000 - CA$348,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual 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.