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Salary: USD 184,000 - 299,812 / annual
Braze is seeking a Staff Software Engineer to join the AI Decisioning Experience team and lead the evolution of its reinforcement learning-based personalization platform. In this role, you will own high-impact initiatives across Decisioning Studio, Braze's AI decisioning product line, spanning both self-serve (DS Go) and managed (DS Pro) tiers. Your work will encompass agent setup workflows, creative management, launch processes, reporting systems that build marketer trust, and backend services connecting the user experience to ML pipelines.
You will build full-stack solutions—from dashboard UI and frontend architecture down to APIs and services—while collaborating closely with Product, Design, and ML engineering teams to translate a fast-moving AI roadmap into intuitive, reliable software. A key part of your impact will be driving web application architecture decisions that ensure scalability, maintainability, and performance across the platform. You will also influence Braze's product strategy by providing technical insights and championing innovation in user experience.
Beyond individual contribution, you will mentor engineers, guide their technical growth, and foster a high-performance engineering culture. You will support teams implementing Braze's AI solutions to ensure customer success and facilitate effective cross-functional collaboration.
You bring 7+ years of relevant software engineering experience with a proven track record of delivering impact. You are a full-stack engineer comfortable designing data models, APIs, and background jobs while owning product surfaces end-to-end. You are a strong frontend developer with expertise in TypeScript and React (Vue experience is a plus) and maintain a high bar for polished, intuitive user experiences backed by rigorous testing. You have deep experience designing and maintaining scalable web application architectures and are an expert practitioner of agentic development—AI coding agents are your default workflow, you build reusable skills and automation that elevate team velocity, and you have a track record of dramatically above-baseline throughput without sacrificing quality.
You communicate with clarity in writing and conversation, producing design docs and technical proposals that stakeholders actually read. You explain complex systems effectively to engineers, product partners, and leadership. You are user-centric, passionate about exceptional user experiences, and take pride in elegant, maintainable code. You navigate large codebases with multiple stakeholders, drive consensus on technical decisions, and have experience mentoring engineers.
Strongly preferred: experience developing UX for machine learning and data-intensive applications, building product surfaces on top of LLMs and agentic systems (embeddings, agent orchestration, evaluation), and proficiency in Python and/or Ruby on Rails.
