Staff Software Engineer
About The Position
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
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
