Braze
Enterprise · Marketing automation
Enterprise · Marketing automation
Braze currently has 24 active AI-related job listings. The majority of these roles, 71%, are focused on agents, with application roles making up another 17%. Engineering is the most frequent function for these positions, followed by Product. Hiring is primarily concentrated in the United States, with additional roles in Brazil and the United Kingdom. Frequent tech tags include agent_orchestration, tool_use, and rag, suggesting a focus on developing and deploying AI agents that can interact with external tools and information.
Braze currently has 33 active AI-related roles in our index. The most common open titles are: Director, CX Business Systems (5), Applied AI Architect (4), Senior Lead Systems Engineer, AI & Automation (4), Senior Technical Product Manager, Content Platforms (Localization) (4), Forward Deployed AI Accelerator (3). Most positions are in Engineering and Product.
Braze's active AI hiring is concentrated in: agents (76%), application (18%), post-training (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Braze is hiring AI talent in: United States (24 roles), Brazil (4 roles), Japan (2 roles), Canada (2 roles).
Job postings at Braze most frequently mention: Reinforcement Learning (RL), Technical Leadership, System Design, Streaming Data, Robotics.
In the past 30 days, Braze has posted 17 new AI-related roles. That is a +31% change versus the prior 30 days (13 → 17).
Currently tracking 15 active AI roles, up 10% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
| Title | Stage | AI score |
|---|---|---|
| Applied AI Architect Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor. | Agent | 8 |
| Applied AI Architect Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor. | Agent | 8 |
| Applied AI Architect Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor. | Agent | 8 |
| Applied AI Architect Braze is building an Applied AI function for its GTM organization to pioneer AI-enabled GTM execution at a scaled global SaaS company. The team encodes practitioner judgment into systems, creates feedback loops, and builds AI-powered systems to make GTM teams more effective. This role involves conducting stakeholder research, building and refining AI agents, staying embedded in operating rhythms, owning system reliability and quality, contributing to a shared knowledge hub, scaling successful systems, and partnering with various teams. The ideal candidate is a builder with GTM judgment, experienced in creating AI agents and tools that impact real work, and comfortable operating autonomously as a senior individual contributor. | Agent | 8 |
| Senior Technical Product Manager, Content Platforms (Localization) Seeking a Senior Technical Product Manager to own the development of an AI-powered translation infrastructure and internal AI translation platform. This role involves designing systems, building prototypes, driving adoption of AI tooling, and managing vendor relationships to improve localization processes. | Agent | 7 |
| Senior Technical Product Manager, Content Platforms (Localization) Seeking a Senior Technical Product Manager to own the development of an AI-powered translation infrastructure and internal AI translation platform. This role involves designing systems, building prototypes, driving adoption of AI tooling, and managing vendor relationships to improve localization processes. | Agent | 7 |
| Senior Technical Product Manager, Content Platforms (Localization) Seeking a Senior Technical Product Manager to own the development of an AI-powered translation infrastructure and internal AI translation platform. This role involves designing systems, building prototypes, driving adoption of AI tooling, and managing vendor relationships to improve localization processes. | Agent | 7 |
| Forward Deployed AI Accelerator This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact. | Agent | 7 |
| Forward Deployed AI Accelerator This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact. | Agent | 7 |
| Forward Deployed AI Accelerator This role focuses on embedding within different business units (Marketing, Finance, People, Legal, Operations) to identify high-value workflows, rebuild them using AI (specifically agents and automations), and coach teams to become self-sufficient in using and building AI tools. The goal is to accelerate AI adoption and impact across the company's non-revenue functions, with a focus on building working solutions on shared infrastructure and ensuring durable business impact. | Agent | 7 |
| Senior Technical Product Manager This role owns the AI content operations product roadmap, identifying opportunities for automation in the content workflow, building AI-powered tools, and driving their adoption within marketing and learning teams. The role involves embedding with content creators, building functional prototypes, and making build-vs-buy decisions, with an initial focus on AI content operations that may expand to adjacent areas. | Agent | 7 |
| Senior Technical Product Manager, Content Platforms (Localization) Seeking a Senior Technical Product Manager to own the development of an AI-powered translation infrastructure and internal AI translation platform. This role involves designing systems, building prototypes, driving adoption of AI tooling, and managing vendor relationships to improve localization processes within the company. The focus is on building and shipping AI-driven solutions for localization, with an emphasis on system design and product ownership. | Agent | 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze will design and build end-to-end machine learning solutions for customer personalization, owning the full ML pipeline from data transformation to model activation. This role involves driving customer success, extending product capabilities, and contributing to the strategy and roadmap of Braze's AI products, particularly its reinforcement learning algorithms. | ShipPost-train | 7 |
| Forward-Deployed Data Scientist This role focuses on designing and building end-to-end machine learning solutions for 1-to-1 personalization, with a strong emphasis on Reinforcement Learning (RL) use cases. The Data Scientist will own the full ML pipeline from raw data transformation and model training to activation, drive customer success through technical guidance, and contribute to extending product capabilities and shaping the AI product strategy. The role involves partnering with the product team to advance the platform's self-learning capabilities. | AgentData | 7 |
| Senior Software Engineer II, BrazeAI Operator Senior Software Engineer II role focused on building and operating an agentic AI chat assistant (BrazeAI Operator) embedded in a customer engagement platform. Responsibilities include developing the agentic runtime, tool orchestration, prompt engineering, integrations with LLM providers and product features, and ensuring reliability, observability, and safety of LLM-backed systems. | Agent | 7 |
| Senior Data Scientist (AI Deployment) Senior Data Scientist role focused on deploying and refining AI models, particularly reinforcement learning algorithms, for customer engagement within the Braze platform. This involves collaborating with customers, improving ML pipelines, and contributing to product strategy. | Post-trainData | 7 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, extending product capabilities by improving architecture and developing data pipelines, refining reinforcement learning algorithms, contributing to product strategy, and providing technical expertise for customer adoption and success. The role requires strong Python, ML libraries, SQL, and ML pipeline/deployment experience, with a preference for customer-facing roles and experience with RL algorithms. | Post-trainData | 7 |