Staff Software Engineer

United States·Austinlead

Software EngineerSoftware Engineering

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Quick Summary

Key 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,

Technical Tools

Software EngineerSoftware Engineering

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.

Responsibilities

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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

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

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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®

Requirements

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Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. A summary of the most recent bias audit results for such tool is available here.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.