Currently tracking 8 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $219k–$400k (avg $272k).
Postman currently has 13 active job listings related to AI. The majority of these roles, 62%, are focused on agents, with serving infrastructure also representing a significant portion at 31%. The dominant function for these positions is Engineering, with hiring concentrated in the United States. Key technical areas include agent orchestration, model serving, and tool use. Over the last 30 days, Postman has posted 2 new AI roles, a 75% decrease compared to the previous 30-day period.
Postman currently has 11 active AI-related roles in our index. The most common open titles are: Applied AI Scientist, Small Language Model and AI Training, Engineering Manager, Postman AI , Head of AI Platform Engineering, Member of Technical Staff, AI Platform & Architecture (Infrastructure), Member of Technical Staff, AI Agent Development Lead. Most positions are in Engineering and Research.
Postman's active AI hiring is concentrated in: agents (64%), serving infrastructure (27%), post-training (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Postman is hiring AI talent in: United States (10 roles), India (1 role).
Job postings at Postman most frequently mention: API Design & Development, Agentic Systems, Production ML Systems, AI Safety, System Design.
In the past 30 days, Postman has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff, AI Platform & Architecture (Infrastructure) The Member of Technical Staff, AI Platform & Architecture (Infrastructure) role at Postman focuses on building and maintaining the foundational systems and distributed infrastructure for AI model post-training, inference, and data pipelines. This involves optimizing performance for accelerators, building observability tools, and partnering with teams on AI infrastructure requirements and roadmap. The role requires experience with GenAI infrastructure, distributed systems, cloud computing, and scaling AI workloads. | ServePost-train | 7 |
| Member of Technical Staff, AI Reliability & Monitoring Engineering Lead This role focuses on ensuring the reliability, scalability, and performance of Postman's AI-powered API and agentic systems in production. It involves developing and managing reliability metrics (SLOs), implementing observability and monitoring, designing automated failover and recovery strategies, optimizing resource utilization (especially GPU/accelerator efficiency), and leading efforts to build internal tooling for AI system stability. The role requires experience in AI reliability engineering, SRE, or DevOps for distributed systems, with a strong understanding of AI system challenges and integration of AI-specific metrics into reliability frameworks. |
| ServeAgent |
| 7 |