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.
Currently tracking 15 active AI roles, up 10% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
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).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer I, ML Senior Software Engineer to design, improve, and scale Braze's self-learning (reinforcement learning) AI platform, focusing on production AI pipelines and data architecture. | ServeData | 7 |
| Data Scientist, AI Deployment Data Scientist, AI Deployment at Braze, responsible for designing and building end-to-end ML solutions for customer personalization. This role involves owning the full ML pipeline from data transformation and model training to activation, and extending product capabilities. They will also partner with the Product team to advance reinforcement learning algorithms and shape AI product strategy. | Post-train |
| 7 |
| AI Platform Engineer II The AI Platform Engineer II will build and scale BrazeAI Decisioning Studio, a reinforcement learning platform for personalized customer engagement. This role involves working with cloud-native infrastructure, data-intensive systems, and production machine learning, focusing on building and maintaining critical services, implementing scalable cloud solutions, troubleshooting production issues, and collaborating with data scientists and ML engineers. | Serve | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to implement BrazeAI solutions, focusing on ML model configuration, data integration, and refining reinforcement learning algorithms. This role extends product capabilities by developing reusable data pipelines and components, and contributes to product strategy through customer insights. | Post-trainData | 7 |