AI Infrastructure Manager

<div class="content-intro"><h2><strong>Who Are We?</strong></h2> <p>Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.</p> <p>The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman.</p> <p>P.S: We highly recommend reading <a href="https://api-first-world.com/">The "API-First World" graphic novel</a> to understand the bigger picture and our vision at Postman.</p></div><h2><strong>The Opportunity</strong></h2> <p>As an <strong>Engineering Manager, AI Infrastructure</strong>, you will lead teams building and operating the foundational systems that power AI model post-training, inference, and large-scale data pipelines. You will own the reliability, scalability, and performance of critical AI infrastructure while partnering closely with research, product, and platform leaders to deliver robust, production-grade AI systems.</p> <p>You will balance <strong>technical leadership and people management</strong>, guiding architecture and execution while growing a high-performing team in a fast-moving AI environment.</p> <h2><strong>What You’ll Do</strong></h2> <ul> <li><strong>Lead and grow a team</strong> of engineers responsible for large-scale, distributed AI infrastructure and services</li> <li><strong>Set technical direction and architectural standards</strong> for AI post-training, inference, and data pipelines</li> <li><strong>Drive performance optimization</strong> across GPU/xPU accelerators, networking, storage, and cloud environments</li> <li><strong>Own reliability, scalability, and observability</strong> for AI workloads, including SLAs, incident response, and capacity planning</li> <li><strong>Partner cross-functionally</strong> with research, ML, product, and platform teams to define infrastructure requirements and roadmap</li> <li><strong>Translate business and research needs</strong> into long-term infrastructure strategy and execution plans</li> <li><strong>Review designs and code</strong>, ensuring high engineering quality, security, and system longevity</li> <li><strong>Mentor and develop engineers</strong>, fostering a culture of technical excellence, ownership, and collaboration<br><br></li> </ul> <h2><strong>About You</strong></h2> <ul> <li>Have <strong>experience leading engineering teams</strong> building GenAI infrastructure, distributed systems, or high-performance platforms</li> <li>Strong background in <strong>cloud computing, large-scale distributed systems, and AI/ML infrastructure</strong><strong><br></strong></li> <li>Deep understanding of <strong>scaling challenges for AI workloads</strong>, including accelerators (GPU/xPU), scheduling, and performance tuning</li> <li>Comfortable making <strong>architectural tradeoffs</strong> across cost, performance, reliability, and velocity</li> <li>Proficient in <strong>Python, Go, or similar languages</strong>, with the ability to guide design and review complex systems</li> <li>Thrive in <strong>fast-paced, ambiguous environments</strong> and enjoy collaborating across research and engineering organizations</li> </ul><div class="content-conclusion"><h2 data-renderer-start-pos="4036"><strong data-renderer-mark="true">What Else?</strong></h2> <p data-renderer-start-pos="4048">In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, f ... (truncated, view full listing at source)