Staff Software Engineer

About the role

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.

Responsibilities

• Lead 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
• Collaborate closely with Product, Design, and ML engineering teams to turn a fast-moving AI product roadmap into intuitive, reliable software
• Build the full stack of these experiences, from dashboard UI down to the APIs and services that connect the Braze platform to our ML pipelines
• Lead efforts in web application architecture to ensure scalability, maintainability, and performance across our platform
• Influence Braze’s product strategy and roadmap by providing technical insights and driving innovation in user experience
• Mentor engineers, provide guidance on technical growth, and foster a high-performance engineering culture
• Support 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: design and build data models, APIs, and background jobs behind features, and own a product surface end to end
• Strong frontend development skills (TypeScript, React; Vue experience is a plus) with a high bar for polished, intuitive user experiences, including testing discipline to keep them reliable
• Strong background in designing and maintaining scalable web application architectures
• 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: produce design docs and technical proposals that people read, and explain complex systems to engineers, product partners, and stakeholders
• User-centric attitude and passion for creating exceptional user experiences
• Pride in writing elegant, maintainable code and fostering a culture of quality within your team
• Comfort navigating a large codebase with multiple stakeholders and driving consensus on technical decisions
• Experience mentoring engineers and contributing to their technical development

Qualifications

• 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

Pay

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).

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®

About Braze

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to AI-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.