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Redmond, WA; Atlanta, GA
Source: Microsoft careers · View original posting
From Microsoft's posting. “We” and “our” refer to the employer.
Overview
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps), the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. Our mission is to prevent issues before they happen by turning operational signals into action through AI-powered automation, enabling measurable customer impact at cloud scale.
Our culture of empowerment, inclusion, and growth mindset defines how we work.
Within EngOps ACES, the Agent Fleet Operations (AFO) team is seeking an AI-first Engineering Manager to join Cloud Operational Demand Engineering (CØDE) and help advance our mission of driving operational demand toward zero. We are looking for a technical leader who combines deep engineering expertise with a learn-it-all mindset, is passionate about applying AI to solve real customer problems and is energized by building high-performing teams and systems that scale impact far beyond individual effort.
In this role, you will lead team-building and operating production AI solutions that reduce operational demand and improve customer outcomes. You will be responsible for people leadership, engineering execution, prioritization, and production operations, partnering closely with senior technical leaders to translate strategy into reliable, scalable capabilities.
Success requires fostering an inclusive environment where engineers can move quickly, experiment, learn continuously, and deliver high-quality solutions that transform how the Microsoft Cloud operates.
Lead a hands-on AI engineering squad that builds and operates autonomous resolution agents for Broad Commercial customers. You will own engineering execution, production excellence, and business outcomes, not just delivery plans. This role requires a leader who has personally built and shipped production-scale agentic AI systems and can scale that expertise through a high-performing engineering team.
Team charter
Build, operationalize, and scale AI-native support experiences for Broad Commercial customers by transforming supportability knowledge into reusable, versioned, testable, and measurable assets that power product experiences, support engineers, and autonomous agents. The team reduces support demand, engineering toil, and time-to-resolution through AI-driven resolution capabilities that continuously learn from customer signals, unresolved cases, and operational insights.
Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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.
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.
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
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