Principal Program Manager - Agentic AI

Reposted 2 Days Ago
Be an Early Applicant
Redmond, WA, USA
In-Office
143K-304K Annually
Expert/Leader
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Leads the agentic AI roadmap for Azure Supportability, aligning engineering, product, and support teams on goals, requirements, milestones, and stakeholder communications. Conducts customer and competitive research, measures AI adoption and impact, identifies technical challenges, and iterates solutions using data-driven insights. The role requires significant experience in technical program management, AI or ML solution development, and cloud platforms.
Summary Generated by Built In
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. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact at scale. Our culture of empowerment, inclusion, and growth mindset defines how we work.
 
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
• Roadmap Development: Define and drive the agentic AI roadmap for Azure Supportability to meet customer experience and efficiency objectives.
• Drive Clarity: Create, review, and gain alignment on requirements, specs, and other documents to drive clarity with engineering and business teams.
• Cross-Team Leadership: Partner with engineering, product, and support teams to align goals, OKRs, and delivery milestones for agentic AI initiatives.
• Stakeholder Communication: Own all stakeholder management including clearly communicating benefits, providing routine updates, and creating
  feedback loops so that we can iterate effectively.
• Derive Actionable Insights: Conduct research, interviews, and competitive analysis to stay ahead of the rapidly evolving AI landscape and identify
  customer needs, pain points, and opportunities.
• Quantify Impact: Measure and evaluate the performance, adoption, and feedback for AI efforts, and continually iterate based on data and insights.
• Technical Curiosity & Depth: Anticipate and deeply understand technical challenges, constraints and blockers faced and provide recommendations for 
  solving these challenges in a methodical manner.

Qualifications

Required qualifications

  • Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR 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.
Additional or preferred qualifications
 
  • Master's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 12+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 3+ years of experience in developing ML and/or AI based solutions
  • Experience with building and owining agentic AI roadmap.
  • Experience with with Azure, AWS, or Google Cloud.
 
 
#EngOps #EngOpsACES

Customer Experience Program Mgmt IC5 - 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.



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.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Business, or a related field, plus 6 or more years of experience in engineering, product or technical program management, data analysis, or product development; equivalent experience accepted.
  • Ability to meet Microsoft, customer, and/or government security screening requirements.
  • Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
  • Master's degree in a relevant field plus 8 or more years of applicable experience.
  • Bachelor's degree in a relevant field plus 12 or more years of applicable experience.
  • 3 or more years of experience developing machine learning and/or artificial intelligence solutions.
  • Experience building and owning an agentic AI roadmap.
  • Experience with Azure, AWS, or Google Cloud.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
  • Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
  • Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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