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 |
|---|---|---|
| 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, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices. | Post-trainData | 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-trainServe |
| 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 |
| Data Scientist, AI Deployment The Data Scientist, AI Deployment role at Braze focuses on designing and building end-to-end machine learning solutions for customer personalization. This involves managing the full ML pipeline from data transformation and model training to activation, with a strong emphasis on customer success and extending product capabilities. The role also involves shaping the AI product strategy and roadmap, particularly concerning reinforcement learning algorithms. | Post-trainAgent | 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 |
| 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 and internal teams on implementation, pipeline setup, and contributing to product strategy. | Post-trainData | 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 and internal teams on implementation, pipeline setup, and contributing to product strategy. | Post-trainData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions. | Post-trainData | 7 |
| Forward-Deployed Data Scientist Braze is seeking a Forward-Deployed Data Scientist to partner with customers on AI implementations, including ML model configuration and data integration. The role involves extending product capabilities by developing data pipelines and APIs, and working with the RL pipeline development team to refine reinforcement learning algorithms. The position also contributes to BrazeAI product strategy and roadmap through customer insights. | Post-trainData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions. | Post-trainData | 7 |
| Forward-Deployed Data Scientist The Forward-Deployed Data Scientist at Braze partners with customers to ensure success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms. The role also contributes to BrazeAI product strategy and roadmap through customer insights. | Post-trainData | 7 |