Note: The job is a remote job and is open to candidates in USA. Microsoft's Azure Supercomputing and AI Infrastructure Products organization delivers the infrastructure foundation powering next-generation artificial intelligence. The Principal Technical Program Manager will drive technical execution and engineering excellence across AI infrastructure, including provider buildout, engineering readiness, validation, Dock-to-Live activities, automation, and customer-ready Azure capacity delivery. The role will also apply data, AI, telemetry, and agentic workflows to improve predictability, reduce operational effort, and accelerate infrastructure delivery.
Responsibilities
- Drive technical execution across the infrastructure delivery lifecycle, including engineering readiness, validation, Dock-to-Live (D2L), and customer onboarding readiness. Drive data-driven decision making through the development of telemetry, metrics, scorecards, operational intelligence systems, and engineering dashboards
- Partner closely with engineering teams to improve the predictability, quality, and scalability of Azure infrastructure deployment processes. Partner with provider program managers and engineering stakeholders to identify technical bottlenecks, drive issue resolution, and accelerate customer-ready capacity delivery. Partner with engineering teams to define and deliver intelligent systems that automate repetitive work, improve decision making, reduce operational toil, and increase execution velocity
- Develop deep expertise in Microsoft's AI infrastructure delivery systems and identify opportunities to improve engineering execution across providers, regions, and deployment programs
- Design and implement technical mechanisms, operational tooling, and automation solutions that improve delivery visibility, execution quality, and engineering productivity
- Identify opportunities to apply AI, automation, and agentic workflows to infrastructure delivery processes
- Develop scalable approaches to D2L planning, engineering readiness reviews, risk identification, and execution governance
- Challenge existing assumptions and workflows, using data and engineering insights to improve how infrastructure is planned, built, validated, and delivered
- Lead technical investigations into recurring execution challenges and develop durable solutions that improve future deployments
- Communicate complex technical issues, risks, and recommendations clearly to engineering leaders and executive stakeholders
- Act as a technical force multiplier by identifying opportunities others miss and driving repeatable solutions that improve outcomes across the broader organization
Skills
- * Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development + OR equivalent experience
- * 3+ years of experience managing cross-functional and/or cross-team projects
- * Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development + OR equivalent experience
- * 8+ years of experience managing cross-functional and/or cross-team projects
- * 1+ years of experience reading and/or writing code (e.g., sample documentation, product demos)
- * 1+ years of experience building or supporting large-scale cloud, AI, GPU, HPC, networking, datacenter, or distributed systems infrastructure
- * 1+ years of experience driving engineering readiness, validation, operational excellence, deployment automation, or production-scale infrastructure programs
- * 1+ years of experience designing or implementing AI-powered systems, automation frameworks, agentic workflows, operational intelligence platforms, or engineering productivity solutions
- * 1+ years of experience applying telemetry, data analytics, and operational metrics to improve technical execution quality and delivery predictability
- * 1+ years of experience reducing operational toil, improving cycle time, and increasing engineering productivity through automation and technical innovation. driving technical strategy and implementation across ambiguous problem spaces with incomplete information
Benefits
- Certain roles may be eligible for benefits and other compensation.
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