Are you a customer-obsessed, AI-driven program leader who thrives at the intersection of engineering, operations, and applied AI? The Azure Engineering Operations (EngOps) team is on a mission to transform Microsoft Cloud customers into lifelong advocates by delivering intelligent, scalable, and frictionless support experiences. Within EngOps, the ACES organization is leading the shift to AI-first support delivery—leveraging agentic AI, LLM-powered systems, and real-time operational intelligence to reduce customer friction, improve reliability, and drive down support volume at Azure scale. We are seeking a Senior Customer Engineering Program Manager – AI Operations to define and operationalize the next generation of AI-powered support systems for Azure Engineering Direct (AED). In this role, you will combine program leadership, data-driven decision making, and applied AI strategy to build intelligent support experiences that proactively resolve issues, empower engineers, and transform customer outcomes.
In this role, you will transition AED from reactive support to predictive, AI-driven operations by scaling agentic AI systems that autonomously diagnose, recommend, and resolve issues. This transformation will drive measurable improvements in case volume reduction, MTTR, and customer satisfaction, while establishing AI Ops as a core pillar of support delivery excellence.
Responsibilities
Define and execute the AI Operations strategy for AED, aligning to business goals such as case deflection, resolution time reduction, and support scalability
Translate customer pain points and operational gaps into AI-powered solutions including agent workflows, copilots, and automation systems
Partner with engineering teams to bring agentic AI services (LLMs, RAG, multi-agent orchestration) from concept to production
Drive adoption of AI agents and copilots across ACE workflows (triage, diagnostics, mitigation, knowledge retrieval)
Define requirements for multi-agent systems, tool integrations, and workflow orchestration to enable autonomous issue resolution
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Ensure solutions are grounded in real-time Azure signals, telemetry, and knowledge systems
Own the end-to-end lifecycle of AI-powered operational capabilities: design, experimentation, deployment, monitoring, and continuous improvement
Establish evaluation frameworks (success metrics, golden datasets, feedback loops) to measure AI effectiveness, quality, and safety
Embed Responsible AI practices ensuring systems are safe, compliant, and aligned to Microsoft standards
Evolve traditional delivery excellence frameworks into AI-augmented operational models
Standardize and scale AI-enabled support processes, tooling, and playbooks across AED
Continuously improve operational efficiency through automation, intelligence, and insights
Define and track AI Ops KPIs such as Case deflection and avoidance, Mean time to resolution (MTTR) and Customer experience metrics
Partner with data and engineering teams to build observability systems (metrics, logging, tracing) to monitor AI and operational performance
Lead cross-org initiatives spanning engineering, product, support, and field teams
Act as the bridge between AI engineering teams and customer engineering delivery
Drive alignment on roadmaps, priorities, and success criteria across stakeholders
Engage directly with AED customers and ACEs to identify unmet needs and high-friction experiences
Incubate and scale AI-first capabilities that reduce toil and improve customer self-service
Champion a culture of experimentation and rapid iteration
Required qualifications
Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ 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.
Preferred qualifications
Master'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 Bachelor'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 equivalent experience.
6+ years of experience in program management, product management, engineering, or technical operations
Hands-on experience with AI/ML systems, LLMs, or AI-powered products (e.g., copilots, automation tools, RAG systems)
Familiarity with agentic AI concepts such as multi-agent orchestration, prompt design, and AI workflows
Experience driving end-to-end delivery of complex, cross-functional initiatives
Strong understanding of cloud platforms (preferably Azure) and support operations
Experience using data and metrics to drive decisions and measure impact
Experience in support engineering, SRE, or ITSM environments
Knowledge of AI evaluation frameworks, telemetry, and experimentation practices
Experience working with global, distributed engineering and customer-facing teams
Strong executive communication and storytelling skills
EngOps #EngOpsACES
Customer Experience Program Mgmt 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.
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