Staff Software Engineer, User TargetingPosted today$204K–$348K

The opportunity

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

What you'll do

  • Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes

  • Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it

  • Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness

  • Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations

  • Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives

  • Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate

What they're looking for

  • Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality
  • Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems
  • Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did
  • Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms