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 |
|---|---|---|
| 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 |
| 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 |