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.
Currently tracking 15 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).
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), Forward Deployed Data Scientist, AI Deployment, Data Scientist, AI Deployment, Forward-Deployed Data Scientist. Most positions are in Engineering and Product.
Braze's active AI hiring is concentrated in: application (43%), post-training (39%), agents (13%). 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), Romania (2 roles).
Job postings at Braze most frequently reference: model serving, fine tuning, rl post training, recommender systems, agent orchestration.
In the past 30 days, Braze has posted 3 new AI-related roles. That is a -50% change versus the prior 30 days (6 → 3).
| Title | Stage | AI score |
|---|---|---|
| Workplace Experience Receptionist This role is for a Workplace Experience Receptionist at Braze, responsible for managing daily reception operations in the Singapore office. The individual will be the first point of contact for visitors, maintain the reception area, handle workplace support tickets, assist with badge management, coordinate catering, and support office events. The role requires strong customer service skills, the ability to multitask, and a proactive, self-motivated attitude. It is a customer-facing role within the People Team, reporting to the Regional Manager, Workplace Experience APAC. | — | 0 |
| Team Lead, Solutions Consulting This role is for a Team Lead on the Solutions Consulting team for Braze's Asia-aligned Sales team. The Solutions Consultant acts as a trusted advisor to prospective customers, bringing product expertise and best practices. The Team Lead will be a player-coach, handling primary Solution Consultant duties while also managing and hiring Solutions Consultants in the Asia region. The role involves partnering with sales, marketing, security, and product teams, and requires experience in Pre-sales Engineering, Technical Account Management, or Customer Success. |
| — |
| 0 |
| Payroll Lead This role is for a Payroll Lead at Braze, a customer engagement platform company. The role focuses on managing the end-to-end international payroll function, ensuring data accuracy, compliance, and timely processing for over 300 employees across multiple global offices. Responsibilities include managing foreign payroll operations, leading geographic expansion of payroll processing, supporting system testing and implementations, and handling payroll due diligence for acquisitions. The role also involves developing partnerships with the Global People team for process improvements, maintaining policies and procedures, managing journal entries, resolving tax issues with agencies and providers, and acting as an escalation point for complex payroll queries. The ideal candidate has 5+ years of payroll experience in the APAC region, thorough knowledge of APAC payroll taxes and regulations, experience with Workday and other foreign payroll platforms, and strong technical aptitude with excellent attention to detail. | — | 0 |
| Account Executive, Enterprise Enterprise Account Executive for Braze, a customer engagement platform that uses AI. The role involves owning the full sales cycle, engaging C-suite decision-makers, driving value-based selling, and growing existing accounts. Requires 8+ years of SaaS selling experience and comfort with AI-driven applications. | — | 0 |