Braze
Enterprise · Marketing automation
Enterprise · Marketing automation
Braze currently has 23 active AI-related roles in our index. The most common open titles are: Engagement Manager II (8), Forward-Deployed Data Scientist II (7), AI Decisioning Technical Lead, Data Scientist, AI Deployment, Forward-Deployed Data Scientist. Most positions are in Engineering and Product.
Braze's active AI hiring is concentrated in: application (52%), post-training (39%), agents (9%). 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 (10 roles), Brazil (4 roles), Canada (3 roles), United Kingdom (2 roles).
Job postings at Braze most frequently reference: fine tuning, model serving, recommender systems, rl post training, agent orchestration.
In the past 30 days, Braze has posted 5 new AI-related roles.
Currently tracking 15 active AI roles, up 24% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
Braze currently has 26 active job listings related to AI. The majority of these roles are focused on the application stage, representing 42% of the openings, followed by post-training roles at 38%. Engineering is the most active function, with 15 listings, and the United States is the primary hiring country with 10 positions. The company is frequently seeking candidates with experience in model serving, fine-tuning, and recommender systems. In the last 30 days, Braze has posted 5 new AI roles, a 150% increase compared to the previous 30-day period.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Forward-Deployed Data Scientist II The Forward-Deployed Data Scientist II at Braze designs and builds end-to-end machine learning solutions for customer personalization. This role involves scoping ML use cases, building and owning the full ML pipeline from data transformation to model training and activation, driving customer success through technical guidance, extending product capabilities, and partnering with the Product team to advance reinforcement learning algorithms and shape AI product strategy. | Post-trainAgent | 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, 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 |
| 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 |
| 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 |
| 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 |
| 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 |