Currently tracking 7 active AI roles, down 35% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $219k–$400k (avg $272k).
Postman currently has 10 active job listings related to artificial intelligence. The majority of these roles, 60%, are focused on agents. Engineering is the primary function for these hires, with the United States being the dominant hiring country. Frequent technology tags include agent orchestration, model serving, and tool use. Over the last 30 days, Postman has added 2 new AI roles, representing a 100% increase 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, Insights, Head of AI Platform Engineering, Manager, IT Enterprise Engineering, Member of Technical Staff, AI Platform & Architecture (Infrastructure). Most positions are in Engineering and Research.
Postman's active AI hiring is concentrated in: agents (73%), serving infrastructure (18%), 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 (9 roles), India (2 roles).
Job postings at Postman most frequently reference: agent orchestration, model serving, tool use, llm observability, inference infra.
In the past 30 days, Postman has posted 3 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff, AI Agent Development Lead Lead the design, development, and deployment of AI agents that interact with users and complex environments, driving architecture and implementation of scalable, reliable AI systems with a focus on safety and interpretability. | Agent | 9 |
| Senior Offensive Security Manager Senior Manager, Offensive Security to build and lead Postman's offensive AI security program, focusing on adversarial testing of LLM integrations, agentic workflows, RAG pipelines, and model-serving infrastructure. The role involves setting strategic direction, hands-on technical leadership in AI systems red teaming, architecting autonomous testing, and people leadership. | Agent | 8 |
| Applied AI Scientist, Small Language Model and AI Training Applied AI Scientist role focused on research and development of small, efficient language models, including training methodologies, optimization, compression, fine-tuning, and ensuring AI safety and alignment. Collaborates with research, engineering, and product teams on scalable training pipelines and deployment. | Post-trainData | 8 |
| Manager, IT Enterprise Engineering Manager for IT Enterprise Engineering role focused on leading a team, defining technical roadmaps, and architecting integrations. A key responsibility is evaluating, designing, and implementing AI and AI agent capabilities within IT, building the necessary data, integration, and governance foundations for AI agents to operate safely and effectively. This includes leveraging AI for automation and autonomous workflow execution, with a focus on identity-aware, auditable, and secure systems. | Agent | 7 |
| 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 |
| Head of AI Platform Engineering Head of AI Platform Engineering to lead the development and execution of Postman's AI platform strategy, focusing on API ecosystem growth, platform innovation, and AI-driven agent functionality. This role involves driving the AI roadmap, identifying market opportunities for AI-enhanced API collaboration, and overseeing implementation with core AI platforms. | Agent | 7 |