Jobs at Braze

Build and extend Braze’s core data object systems, including high-scale ingestion pipelines and complex backend services. Optimize system performance and cost while developing new product features. Provide technical leadership, work across the full stack, and use AI-assisted tools to navigate a large Ruby monolith and deliver reliable solutions. Collaborate in an agile team with a focus on scalable software, strong architecture, and customer impact.

Lead technical vision and architecture for Braze’s messaging orchestration platform while delivering hands-on software. Drive large, cross-team projects, build scalable backend systems and web interfaces, improve reliability and observability, evolve shared frameworks, mentor engineers, and support sophisticated real-time and batch messaging workflows.

Lead the Messaging Experience engineering team responsible for Braze’s Canvas and Campaign creation workflows. Own the multi-year roadmap, set engineering direction and processes, develop engineers and technical leads, manage hiring, and partner with Product and Design to deliver polished, scalable customer-facing web applications. Drive front-end quality, iterative product development, usability, architecture, and engineering excellence across multiple workstreams.

Administer and enhance Gainsight as the system of record for Braze’s Customer Experience organization. Configure health models, scorecards, CTAs, playbooks, workflows, dashboards, AI features, integrations, permissions, and data pipelines. Troubleshoot synchronization and data-load issues, support security and compliance, lead QA and UAT, manage releases and documentation, and partner with CX, Salesforce, Data, IT, and Security teams to deliver scalable platform capabilities.

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.

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.

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 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.