Technical Program Manager (AI)

TL;DR

Technical Program Manager (AI/ML Compute): Driving projects for large-scale compute infrastructure for AI/ML frontier models, with an accent on forecasting, resource allocation, and fleet optimization. Focus on collaborating with researchers and engineers to deliver robust, scalable solutions and communicating strategies to executive leadership.

Location: Redmond, United States. Office presence is required at least four days a week for employees living within 50 miles of a designated Microsoft office.

Salary: Typical base pay range across the U.S. is USD $139,900 – $274,800 per year. For San Francisco Bay Area and New York City metropolitan area, the range is USD $188,000 – $304,200 per year. For IC6, the typical base pay range across the U.S. is USD $163,000 – $296,400 per year, and for San Francisco Bay Area and New York City metropolitan area, it is USD $220,800 – $331,200 per year.

Company

hirify.global is on a mission to train the world’s most capable AI frontier models and empower every person and organization on the planet to achieve more.

What you will do

• Drive projects and programs related to compute infrastructure, including forecasting and allocating resource needs (compute, storage, network).
• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and manage timelines.
• Leverage data and analytics to define metrics, set baselines and targets for fleet efficiency, and optimize.
• Advocate for AI team’s resource needs with executive and working-level partners across Microsoft.
• Own the status of key compute projects, proactively identifying risks and proposing solutions to ensure timely delivery.
• Communicate program strategies, progress, and results to executive leadership and key stakeholders.

Requirements

• Bachelor’s Degree AND 6+ years’ experience in technical program management, infrastructure engineering, AI/ML, or product development OR equivalent experience.
• 6+ years’ experience managing cross-functional and/or cross-team projects.
• Deep understanding of the design, deployment, and optimization of large-scale compute infrastructure for AI/ML workloads.
• Experience collaborating with AI researchers, engineers, and infrastructure teams to deliver robust, scalable solutions.
• Ability to thrive in a scrappy, fast-paced, innovative environment, managing high-stakes, time-sensitive programs.
• Strong technical curiosity and judgment.

Culture & Benefits

• Foster a culture of collaboration, continuous improvement, and growth.
• Embody Microsoft’s values of respect, integrity, and accountability.
• Access to additional benefits and pay information as per Microsoft careers website.
• Hybrid work model with an expectation to work from a designated Microsoft office at least four days a week if residing within 50 miles of the location.