Teams at Braze

Lead the design, development, and operation of Decisioning Studio integrations and distributed data pipelines. Build high-volume ingestion and event-driven activation systems across warehouses, APIs, file drops, and streaming sources. Ensure reliability, idempotency, multi-region compliance, data residency, and PII protection. Own production systems, including monitoring and on-call support, while collaborating with data science and product teams and mentoring engineers.

Build and own features for Braze’s high-scale user segmentation system across Ruby on Rails and React. Responsibilities include designing features, managing medium-sized projects, tuning MongoDB and ClickHouse queries, collaborating with product and design teams, writing automated tests, reviewing code, and participating in on-call support. The role requires strong software engineering fundamentals, database experience, ownership, communication, and the ability to deliver reliable web applications with limited oversight.

Lead the design and development of Braze’s high-scale user segmentation and targeting systems. Build real-time data pipelines, APIs, and customer-facing dashboard capabilities; own system architecture, performance, reliability, and cost. Partner with product teams, mentor engineers, drive technical initiatives, and improve operational processes. The role requires extensive experience building customer-facing, data-intensive systems and influencing architecture at scale.