This role is for a Senior Platform Software Engineer at Braze, focusing on designing and building the distributed systems that power their large-scale background processing platform. The role involves owning and evolving the Sidekiq platform, managing incidents, and improving reliability, performance, and developer experience. The tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. While the company mentions AI capabilities (BrazeAI), this specific role is centered on the underlying platform infrastructure rather than direct AI/ML model development.

This role is for a Senior Platform Software Engineer at Braze, focusing on designing and building the distributed systems that power their large-scale background processing platform. The role involves owning and evolving the Sidekiq platform, managing incidents, and improving reliability, performance, and developer experience. The tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. While the company mentions AI capabilities (BrazeAI), this specific role is centered on the underlying platform infrastructure rather than direct AI/ML model development.

This role is for a Senior Platform Software Engineer at Braze, focusing on designing and building the distributed systems that power their large-scale background processing platform. The role involves owning and evolving the Sidekiq platform, managing incidents, and improving reliability, performance, and developer experience. The tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. While the company mentions AI capabilities (BrazeAI), this specific role is centered on the underlying platform infrastructure rather than direct AI/ML model development.

This role is for a Senior Platform Software Engineer at Braze, focusing on designing and building the distributed systems that power their large-scale background processing platform. The role involves owning and evolving the Sidekiq platform, managing incidents, and improving reliability, performance, and developer experience. The tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. While the company mentions AI capabilities (BrazeAI), this specific role is centered on the underlying platform infrastructure rather than direct AI/ML model development.

This role is for a Senior Platform Software Engineer at Braze, focusing on designing and building the distributed systems that power their large-scale background processing platform. The role involves owning and evolving the Sidekiq platform, managing incidents, and improving reliability, performance, and developer experience. The tech stack includes Ruby on Rails, Go, MongoDB, Redis, and Kafka. While the company mentions AI capabilities (BrazeAI), this specific role is centered on the underlying platform infrastructure rather than direct AI/ML model development.

Site Reliability Engineers (SREs) are responsible for keeping all internal-facing services and platforms running smoothly, ensuring site uptime. They blend system administrators and software engineers, applying engineering principles, operational discipline, and automation to infrastructure services. The role involves improving automation, infrastructure reliability, and empowering other engineering teams. Braze operates at a massive scale with a diverse technology stack including Ruby on Rails, MongoDB, Redis, Kafka, and Kubernetes. The Senior SRE will collaborate to improve infrastructure, automation, and tooling.

This role is a Technical Architect at Braze, a customer engagement platform company. The primary focus is on maximizing customer Time to Value (TTV) by supporting product features and customer onboarding from a technical perspective. This involves facilitating technical aspects of customer adoption, handling daily technical inquiries, enabling customer product and engineering teams to work independently with Braze, documenting technical requirements, validating product use cases, and troubleshooting technical issues. The role also involves collaborating with customer marketing, product, and engineering teams to understand their goals and how Braze fits into their tech stack, designing adoption plans, and providing enablement training and workshops. While the company mentions BrazeAI, the role itself is customer-facing and technical support-oriented, not directly involved in building or researching AI models.

This role is for an Account Executive in Japan for Braze, a customer engagement platform. The role focuses on new business development, market penetration, relationship building, cross-functional collaboration, and reporting. While the company mentions AI capabilities within its platform (BrazeAI), the core responsibilities of this Account Executive role are sales-focused and do not involve building or directly working with AI/ML models or systems. Therefore, it is not considered AI-related in terms of the role's craft.

Senior Site Reliability Engineer for Braze's Currents team, responsible for building, maintaining, and evolving a large-scale Kafka-based event pipeline that handles tens of billions of messages daily. Focuses on observability, scalability, and reliability strategy for a critical data streaming system.

Senior Site Reliability Engineer for Braze's Currents team, responsible for building, maintaining, and evolving a large-scale Kafka-based event pipeline that handles tens of billions of messages daily. Focuses on observability, scalability, and reliability strategy for a critical data streaming system.

Senior Site Reliability Engineer for Braze's Currents team, responsible for building, maintaining, and evolving a large-scale Kafka-based event pipeline that handles tens of billions of messages daily. Focuses on observability, scalability, and reliability strategy for a critical data streaming system.

This role is for a Sales Operations Analyst at Braze, a customer engagement platform. The analyst will be responsible for supporting and driving the strategic allocation of sales resources to maximize revenue growth and operational efficiency. This involves leveraging tools like Salesforce and Fullcast to design, optimize, and maintain global sales territories, support capacity planning and quota-setting, and provide data-driven insights. The role requires experience in B2B SaaS sales or operations, proficiency in Salesforce and Excel, and strong analytical and collaboration skills.

Engineering Manager for the Canvas Logic and Execution (CLX) team, responsible for the platform lifecycle of Braze's flagship marketing automation product. The role involves contributing to architecture, development, and optimization of a high-scale, high-performance system that processes billions of asynchronous jobs. The manager will define processes, foster engineer growth, and collaborate with product and design to align team efforts with product objectives.

Engineering Manager for the Canvas Logic and Execution (CLX) team, responsible for the platform lifecycle of Braze's flagship marketing automation product. The role involves contributing to architecture, development, and optimization of a high-scale, high-performance system that processes billions of asynchronous jobs. The manager will define processes, foster engineer growth, and collaborate with product and design to align team efforts with product objectives.

Engineering Manager for the Canvas Logic and Execution (CLX) team, responsible for the platform lifecycle of Braze's flagship marketing automation product. The role involves contributing to architecture, development, and optimization of a high-scale, high-performance system that processes billions of asynchronous jobs. The manager will define processes, foster engineer growth, and collaborate with product and design to align team efforts with product objectives.

Engineering Manager for the Canvas Logic and Execution (CLX) team, responsible for the platform lifecycle of Braze's flagship marketing automation product. The role involves contributing to architecture, development, and optimization of a high-scale, high-performance system that processes billions of asynchronous jobs. The manager will define processes, foster engineer growth, and collaborate with product and design to align team efforts with product objectives.

Full-stack engineer for a customer engagement platform that utilizes AI/ML for personalization and optimization. The role focuses on building and improving product components, collaborating with various teams, and influencing product strategy. While the company uses AI extensively, this specific role is not directly building or researching AI models but rather integrating and enhancing features within a larger product.

Full-stack engineer for a customer engagement platform that utilizes AI/ML for personalization and optimization. The role focuses on building and improving product components, collaborating with various teams, and influencing product strategy. While the company uses AI extensively, this specific role is not directly building or researching AI models but rather integrating and enhancing features within a larger product.

Full-stack engineer for a customer engagement platform that utilizes AI/ML for personalization and optimization. The role focuses on building and improving product components, collaborating with various teams, and influencing product strategy. While the company uses AI extensively, this specific role is not directly building or researching AI models but rather integrating and enhancing features within a larger product.

Full-stack engineer for a customer engagement platform that utilizes AI/ML for personalization and optimization. The role focuses on building and improving product components, collaborating with various teams, and influencing product strategy. While the company uses AI extensively, this specific role is not directly building or researching AI models but rather integrating and enhancing features within a larger product.

Senior Software Engineer for the Cloud Data Ingestion & Transformation (CDIT) team, focusing on systems that enable customers to integrate their data with the Braze platform. The role involves processing trillions of data points annually and integrating with various Braze features, as well as customizing data flow from external sources into Braze.