Note: The job is a remote job and is open to candidates in USA. Microsoft is a technology company developing security, cloud, productivity, and AI solutions for enterprises. The Senior Technical Program Manager will lead cross-company execution of the Getting Customers Ready for AI initiative, driving secure AI readiness across identity, devices, data, applications, infrastructure, governance, and security. The role also involves coordinating technical programs, aligning cross-functional teams, engaging customers, and establishing scalable operational processes and metrics.

Responsibilities

• Drive execution of key workstreams for the Getting Customers Ready for AI initiative across Microsoft Security
• Help define and operationalize customer readiness frameworks, success metrics, and scalable processes that improve AI adoption readiness
• Partner with product leaders to translate strategic priorities into execution plans, milestones, operational cadences, and measurable outcomes
• Coordinate cross-functional deliverables across engineering, product management, design, research, customer success, marketing, and field organizations
• Identify dependencies, risks, gaps, and opportunities across multiple teams and proactively drive resolution
• Lead end-to-end program execution across complex technical initiatives involving security, AI systems, identity, devices, governance, and cloud services
• Partner with engineering teams to drive architecture alignment, technical reviews, release readiness, quality tracking, and operational excellence
• Establish scalable mechanisms for program planning, feature tracking, dependency management, issue escalation, and executive reporting
• Drive alignment across multiple product teams to ensure cohesive customer experiences and integrated platform capabilities
• Help define telemetry, instrumentation, reporting, and operational insights needed to measure customer adoption and readiness outcomes
• Partner with customer-facing teams and co-creation programs to understand customer challenges, blockers, adoption patterns, and implementation needs
• Synthesize customer feedback into actionable recommendations for engineering and product teams, and work with product engineering to define and deliver product solutions to customers
• Support customer readiness engagements, onboarding strategies, pilot programs, and scalable adoption motions
• Drive clarity around customer scenarios, deployment guidance, operational best practices, and measurable value
• Build scalable operating rhythms, communication frameworks, and review processes for the initiative
• Create executive-ready communications, status updates, roadmap summaries, and decision frameworks
• Drive program health reviews, KPI tracking, risk management, and organizational alignment
• Improve cross-team execution efficiency through process simplification, tooling, and program governance

Skills

• * 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
• * Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development
• + OR equivelent experience
• * 6+ years of experience managing cross-functional and/or cross-team projects
• * 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)
• * Proven experience leading complex, cross-functional technical programs across multiple engineering and product teams, including managing dependencies and driving execution in high-matrixed, ambiguous environments
• * Stakeholder management and communication skills, with demonstrated ability to influence senior leadership and drive alignment across highly matrixed organizations
• * Experience delivering customer-facing enterprise, cloud, security, or large-scale distributed systems, with an understanding of platform-level architecture and operations
• * Ability to translate technical and operational signals into clear executive insights, including defining frameworks, governance models, and scalable processes
• * Hands-on experience leveraging AI/NPF in core workflows, including synthesizing data at scale, generating structured artifacts, and improving execution through reusable AI-assisted approaches (e.g., prompts, templates, playbooks)
• * Demonstrated leadership in AI adoption and/or security domains, including scaling best practices, coaching others, and driving initiatives across organizational boundaries

Company Overview

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