Principal Technical Program Manager

Microsoft•Redmond, WA
•$142,800 - $304,200

About The Position

Microsoft Office Product Group seeks a Principal Technical Program Manager to help grow Copilot usage across Word, Excel, and PowerPoint. The role shapes strategy and coordinates work across organizations, identifying opportunities and patterns that improve user success, adoption, and sustained engagement. It aligns teams around shared goals and connects product plans to create cohesive experiences that help customers discover Copilot’s value and use it in everyday work. The role also involves engaging with a small set of key enterprise customers, particularly about Copilot in Word. The person in this role learns about customer needs, workflows, and expectations; demonstrates Copilot’s value; addresses adoption barriers; and turns customer feedback into product and growth priorities. Using a forward deployed engineering model, they partner with customers to build useful features and convert learnings into scalable resources and programs that build confidence, deepen usage, and accelerate growth. The position collaborates with engineering, data science, product management, and business development. It coordinates cross-app initiatives, tracks risks and dependencies, communicates progress and outcomes to executives, and informs growth investments and strategic trade-offs using customer insights, adoption data, and execution learnings.

Requirements

  • Bachelor’s degree and 6+ years of 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.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

  • Bachelor’s degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • Experience engaging directly with large enterprise customers and building products through a forward deployed engineering model.
  • Deep understanding of product-led growth and experience building products that earn user adoption, engagement, and loyalty.
  • Experience with generative AI, AI agents, and AI-powered developer tools.
  • Understanding of AI evaluation, agent orchestration, human-in-the-loop systems, or autonomous workflows.
  • Experience with experimentation platforms, telemetry systems, and performance measurement frameworks.
  • Data fluency, including the ability to analyze telemetry and evaluation data directly, look beyond dashboards, and distinguish meaningful signals from noise.

Responsibilities

  • Engage directly with customers to understand their needs, workflows, and adoption barriers, and translate feedback into product improvements and Copilot growth opportunities.
  • Coordinate Copilot growth initiatives across Word, Excel, and PowerPoint, aligning teams around problem statements, priorities, success metrics, and execution timelines.
  • Manage risks, dependencies, and communication plans, and provide regular executive updates on progress, risks, and outcomes.
  • Collaborate with engineering, data science, product management, and business development to deliver product improvements that drive Copilot adoption and sustained usage.
  • Synthesize cross-app coordination and direct customer engagement insights to inform Copilot growth strategy and investment priorities.
  • Translate customer adoption barriers, cross-app opportunities, and competitive insights into aligned growth investments that strengthen Copilot’s differentiation and drive adoption and sustained usage.
  • Use shared frameworks, dashboards, and review processes to assess performance against growth targets and connect adoption data with customer feedback and execution learnings.
  • Refine future strategy and investment priorities based on performance assessment and accumulated insights.
  • Partner with enterprise customers using a forward deployed engineering model to build features that help them succeed, then turn insights into scalable resources and programs.
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