Jobs 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.

Write, edit, and maintain API references, integration guides, and conceptual documentation in a docs-as-code environment. Define metadata, taxonomy, and contextual guidelines for AI-assisted drafting; verify generated prose and code for accuracy, edge cases, and voice. Collaborate with Product, Engineering, Support, Customer Success, Marketing, and Implementation teams to document platform behavior, improve information architecture, maintain the documentation repository, and enhance the customer education experience.

Build and scale backend-focused software for Braze’s petabyte-scale Data Lakehouse. Develop data pipelines, asynchronous processing, ETL applications, and end-to-end features across platforms such as Snowflake, ClickHouse, and Databricks. Drive architectural decisions, contribute to technical strategy, and deliver scalable web applications handling high volumes of data and traffic in an agile environment.

Build and maintain backend-focused, end-to-end software for Braze’s petabyte-scale Data Lakehouse platform. Develop infrastructure and tools supporting Snowflake, ClickHouse, and Databricks, manage high-volume event data, and deliver front-end experiences when needed. Collaborate across teams, apply strong software design and algorithms knowledge, and help scale systems handling billions of daily rows and significant customer and internal workloads.

Build and scale Braze’s WhatsApp messaging platform, including sending, analytics, subscription management, customer dashboards, and event processing. Develop features, improve system performance and resilience, contribute to architectural decisions, and collaborate with teammates on distributed systems operating at scale. The role also involves providing engineering guidance and participating in an agile team environment.

Build, maintain, and evolve Braze’s Kafka-based Currents data export system, which processes tens of billions of messages daily. Lead projects from concept through production, improve high-scale distributed systems, collaborate with engineers, mentor teammates, and address challenges involving data streaming, microservices, and foundational software infrastructure.

Build and maintain high-scale email delivery infrastructure, including personalized email systems, subscription REST APIs, preference-management pages, reporting data processing, and customer-domain dashboards. Develop features, improve performance, guide architectural decisions, and optimize systems for resilience and scalability. The role requires full-stack development experience, technical leadership, strong fundamentals in algorithms and data structures, and effective teamwork and communication.

Design complex data and workflow experiences for Braze’s enterprise customer engagement platform. Conduct user research, create high-fidelity prototypes, refine the design system, and collaborate with product, engineering, research, and analytics teams. Influence product roadmaps and deliver intuitive tools for data modeling, ingestion, integrations, and campaign execution. The role requires systems thinking, strong interaction and visual design, technical collaboration, and evidence-based decision-making.

Lead the product roadmap and commercial outcomes for Braze Content Cards and Banners. Drive adoption, faster content creation, AI-assisted authoring, API programmability, enterprise access controls, reliability, performance, and observability. Partner with engineering, design, SDK, sales, support, and enterprise customers to prioritize investments, establish measurement standards, and deliver scalable in-product messaging capabilities.

Own the technical roadmap and architecture for enterprise IAM centered on Okta. Design identity lifecycle, governance, authentication, provisioning, and access-control solutions; build integrations and automation using APIs, scripting, Terraform, and Okta Workflows. Improve onboarding, role changes, offboarding, audit controls, and operational resilience while supporting SOX compliance. Lead complex cross-functional initiatives, resolve escalated identity issues, establish engineering standards, and mentor engineers.

Build and scale Braze’s SMS and RCS channels, including message composition, delivery, responses, analytics, click tracking, and link shortening. Ship full-stack features, own technical areas, solve open-ended distributed-systems problems, and improve platform reliability as traffic grows. Collaborate across teams, communicate clearly, and drive initiatives from concept through delivery.

Leads the Landing Pages engineering team and product, overseeing architecture, development, platform scalability, APIs, integrations, hosting, reporting, and customer adoption. Partners with product and design to prioritize initiatives using usage data, while recruiting, coaching, and retaining engineers. Owns the team’s vision, goals, processes, and technical execution, contributing directly to code and key architectural decisions when needed.

Lead reliability engineering for Braze’s NGINX ingress fleets, Kubernetes infrastructure, Ruby on Rails monolith, and Go API services. Design scalable, highly available systems; develop automated scaling routines; define SLIs, SLOs, and error budgets; conduct capacity planning; and participate in PagerDuty on-call rotations. Drive incident response, root-cause analysis, blameless retrospectives, runbook improvements, and resilient architecture decisions with product engineering teams.

Lead cloud security direction across AWS, GCP, and self-managed Kubernetes. Define standards, reference architectures, IAM controls, threat-modeling practices, detections, incident-response playbooks, vulnerability-management workflows, and secure infrastructure-as-code and CI/CD practices. Serve as a senior incident responder and cloud-forensics lead, secure distributed systems and data stores, drive cross-functional initiatives, and mentor security and platform engineers as a senior individual contributor.

Protect enterprise users, assets, and locations by investigating threats and malware, implementing DLP and SIEM detections, securing SaaS and endpoints, hardening configurations, driving vulnerability remediation, automating alerts and reporting, participating in on-call incident response, and mentoring junior engineers.

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 and grow a BSA and TPM team to define and execute the CX technology strategy and roadmap for post-sales functions. Own vendor selection, platform implementations, lifecycle governance, AI adoption, integrations, data alignment, and cross-functional stakeholder engagement to drive operational efficiency and CX outcomes.