Staff Software Engineer

Title: Staff Software Engineer

Location: San Francisco

Job Description:

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

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.

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.

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.

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.

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.

WHAT WE OFFER

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.

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:

• 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 Al-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.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.