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Job Details
Posted date: Apr 22, 2026
Category: Software Engineering
Location: Redmond, WA
Estimated salary: $247,100
Range: $163,000 - $331,200
Employment type: Full-Time
Work location type: 3 days / week in-office
Role: People Manager
Description
OverviewMicrosoft FastTrack delivers migration and deployment services to some of the world’s largest organizations adopting Microsoft 365. As AI reshapes how enterprise services are delivered, FastTrack must evolve from a labor‑intensive delivery model to a technology‑augmented service platform that improves migration success, increases practitioner productivity, and scales customer onboarding globally.
This Principal Group Engineering Manager - FastTrack is accountable for leading this transformation.
This role owns the engineering strategy and execution required to modernize FastTrack’s delivery model through platform investments, automation, and applied AI. You will lead the development of intelligent service capabilities that reduce manual effort in migration and deployment workflows, improve onboarding outcomes, and enable FastTrack practitioners to deliver at greater scale, quality, and speed.
Success in this role is measured not only by platform delivery, but by measurable improvements in FastTrack’s global service economics, including migration throughput, deployment success rates, practitioner productivity, onboarding cycle time, and cost‑to‑deliver.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Lead Technology‑Driven Transformation of FastTrack Delivery
Define and execute the engineering roadmap that evolves FastTrack from a people‑centric delivery model to an AI‑augmented service platformDevelop internal platforms, automation systems, and intelligent orchestration capabilities that modernize how migrations and deployments are planned and executedApply AI and data‑driven approaches to: Reduce migration riskImprove deployment predictabilityAutomate onboarding workflowsAugment practitioner decision‑makingImprove migration outcomes and onboarding success by embedding intelligence directly into FastTrack delivery experiences Drive Practitioner Productivity at Global Scale
Build engineering capabilities that enable FastTrack delivery teams to serve more customers with greater consistency and reduced manual effortDevelop copilots, automation frameworks, and decision support systems that accelerate repeatable migration and deployment tasksReduce planning overhead and operational friction in migration workflowsEnable delivery teams to execute complex onboarding engagements with improved quality and speed through technology‑assisted execution Own Service Platform Outcomes
Accountable for engineering investments that improve:
Migration throughputTime to onboard customers to Microsoft 365Deployment success ratesDelivery team productivityReduction in manual intervention during onboardingGlobal FastTrack capacity to support customer growth Translate FastTrack business needs into scalable engineering solutions that improve delivery efficiency and service scalability.
Partner Across Product, Engineering, and Delivery Organizations
Partner with Microsoft 365 Product teams to align FastTrack engineering investments with platform roadmap prioritiesCollaborate with Product and Delivery leadership to identify deployment challenges that can be solved through automation and intelligent toolingWork with engineering teams across Microsoft to integrate shared capabilities into FastTrack delivery platformsAct as a trusted technical partner to senior leaders across Product and Delivery organizations Lead Organizational Change
Lead the transition to new technology‑enabled delivery workflows across FastTrackDrive adoption of automation‑first and AI‑assisted migration practicesBuild and develop a high‑performing engineering organization focused on execution, service impact, and continuous improvementEstablish experimentation frameworks to evaluate emerging technologies and AI approaches in real‑world onboarding scenariosLeadership Expectations
Customer‑obsessed with focus on improving real‑world onboarding outcomesDemonstrated ability to influence across organizational boundariesExperience leading change in large, globally distributed teamsCommitment to responsible AI practices and engineering excellenceAbility to build inclusive, high‑performing teams aligned to business impact
Qualifications
Required Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience. Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.6+ years people management experience.10+ years of experience leading engineering teams delivering large‑scale platforms or servicesIncorporate new/latest AI tech around evals, LLMs, etc).Experience applying automation, AI, or data‑driven systems to improve operational efficiencyProven track record driving organizational or delivery model transformation through technologyExperience partnering across Product, Engineering, and Delivery organizations in complex environmentsExecution mindset with ability to translate long‑term strategy into measurable business impact #DPG #DPGHiring
Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.