Senior Technical Program Manager - AI Transformation

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead Microsoft Specialized Clouds’ AI transformation strategy and execution across the software development lifecycle. Drive adoption of agentic engineering, align cross-functional workstreams, establish governance, measure productivity and delivery outcomes, and translate successful experiments into sustainable engineering practices. Partner with engineering, product, data science, finance, security, compliance, and operations teams to deliver trusted AI capabilities with human oversight.
Summary Generated by Built In
Overview

Microsoft Specialized Clouds (MSC) delivers secure, compliant, and highly reliable cloud environments for mission-critical customers. We are seeking a Senior Technical Program Manager to lead AI transformation for MSC engineering, driving the adoption of agentic engineering across the full software development lifecycle, from requirements and design through coding, code review, testing, security, deployment, and operations, and delivering measurable improvements in execution and delivery outcomes. 

 
In this role, you will own the strategy and execution for AI transformation across MSC. You will partner with the AI v-team led by the MSC CTO and leaders across the organization to translate priority engineering scenarios into scalable AI-enabled capabilities. You will establish governance and operating rhythms, drive change across the organization, and use evidence and feedback to improve planning, engineering productivity, decision quality, and delivery performance. 
 
We are looking for an AI-forward technical program leader with hands-on experience building agentic systems and AI-powered automation and a track record of leading organization-wide change. You will work across engineering, product, data science, finance, security, compliance, and operations to build trusted solutions and influence decisions with appropriate human oversight. 


Responsibilities

• Shape MSC’s AI transformation strategy: Partner with the MSC CTO office and AI v-team to set priorities and maintain an outcome-focused roadmap for AI-first engineering. Identify high-impact opportunities to improve engineering workflows, assess emerging AI capabilities and external industry best practices against organizational needs, and turn selected opportunities into actionable transformation initiatives with clear outcomes. 

• Drive alignment across AI transformation workstreams: Partner with engineering teams and v-team workstream leads to ensure that work on AI-enabled workflows, agentic capabilities, and shared engineering practices reflects organizational and team needs and targets clear, high-impact outcomes. Support AI optimization experiments, challenge existing approaches, and help translate successful approaches into sustained improvements in how teams plan, build, review, and operate while maintaining security, quality, and reliability. 

• Measure impact and guide strategic direction: Partner with workstream and analytics leads to define success measures and assess improvements in engineering productivity, quality, and operational outcomes. Use insights and feedback to inform priorities and continuous improvement. 


Qualifications
Required Qualifications:
  • Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 2+ years of experience managing cross-functional and/or cross-team projects.

Other Requirements:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.   
  • Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport.

Preferred Qualifications:

  • 3+ years of experience leading complex, cross-functional technical programs from definition through delivery and adoption.
  • Demonstrated experience building automation, data and analytics to improve processes, product experiences, and evidence-based decision-making. 
  • Experience delivering AI-powered capabilities or solutions from concept through deployment and adoption, and sustaining and iterating on them in production as AI capabilities evolve.
  • Technical and systems-thinking skills, with the ability to manage requirements, dependencies, risks, data, telemetry, security, and measurable outcomes.
  • Written and verbal communication skills, including the ability to influence senior leaders, drive decisions, and align engineering and business teams across organizational boundaries.
  • Experience building AI-powered capabilities such as copilots, agents, recommendation systems, forecasting tools, or workflow automation, from concept through deployment and adoption.
  • Familiarity with product analytics, process mining, causal analysis, experimentation, capacity modeling, operations research, and model evaluation.
  • Experience operationalizing responsible AI practices, including data governance, privacy, security, compliance, and human-in-the-loop review mechanisms.
  • Ability to engage deeply with technical teams on architecture, data models, APIs, telemetry, integration, reliability, and release readiness; coding or prototyping experience is a plus.
  • Experience delivering complex technical programs in cloud infrastructure, specialized or sovereign clouds, government environments, or other regulated industries.  


Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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 and 4+ years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience
  • 2+ years of experience managing cross-functional and/or cross-team projects
  • Pass the Microsoft Cloud background check upon hire or transfer and every two years thereafter
  • U.S. citizenship with verification via a valid passport
  • 3+ years of experience leading complex, cross-functional technical programs from definition through delivery and adoption
  • Experience building automation, data, and analytics to improve processes, product experiences, and evidence-based decision-making
  • Experience delivering AI-powered capabilities or solutions through deployment, adoption, and production iteration
  • Technical and systems-thinking skills covering requirements, dependencies, risks, data, telemetry, security, and measurable outcomes
  • Written and verbal communication skills to influence senior leaders, drive decisions, and align engineering and business teams
  • Experience building copilots, agents, recommendation systems, forecasting tools, or workflow automation
  • Familiarity with product analytics, process mining, causal analysis, experimentation, capacity modeling, operations research, and model evaluation
  • Experience operationalizing responsible AI practices, including data governance, privacy, security, compliance, and human-in-the-loop review
  • Ability to engage with technical teams on architecture, data models, APIs, telemetry, integration, reliability, and release readiness
  • Coding or prototyping experience
  • Experience delivering complex technical programs in cloud infrastructure, specialized or sovereign clouds, government environments, or regulated industries

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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Year Founded: 1975

What We Do

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