Teams at Braze

Lead design and delivery of enterprise automation, integrations, and AI-driven workflows. Architect scalable integrations across SaaS platforms, build conversational self-service and agentic experiences, enable AI/LLM-based automation, and partner with security, infrastructure, and product teams to ensure resilient, maintainable enterprise platform solutions.

Lead architecture and implementation of high-scale backend and full-stack systems powering core data objects. Improve performance, cost, reliability, mentor engineers, collaborate cross-functionally, innovate with new technologies (including AI-assisted tooling), and maintain operational practices such as alerts and on-call playbooks.

Lead full-stack engineering initiatives for Braze’s AI Decisioning products, building polished interfaces, data models, APIs, background jobs, and services connected to machine-learning pipelines. Shape web application architecture, influence product strategy, mentor engineers, drive technical consensus, and support teams delivering AI solutions. The role emphasizes scalable, maintainable software, excellent user experiences, testing discipline, and agentic AI-assisted development.