Senior Technical Program Manager
Microsoft (Eightfold Apply)
- Location
- United States, Multiple Locations, Multiple Locations; United States, Washington, Redmond
- Work model
- On-Site
- Level
- Senior
- Posted
- 3h ago
About this role
Overview
With more than 45,000 employees and partners worldwide, MCAPS Core is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. MCAPS Core is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join MCAPS Core and help us accelerate AI transformation for our customers and the world. The Office of the CTO (OCTO) Knowledge Architecture (KA) team advances Microsoft’s AI-first future by building and governing the knowledge platforms, automation, and lifecycle capabilities that turn information into trusted action. Through a Growth Mindset and a One Microsoft culture, we partner across teams to deliver AI-ready knowledge experiences that accelerate customer success, improve operational efficiency, and scale expertise across Microsoft. The Senior Technical Program Manager will lead complex, cross-functional programs that support Microsoft's global knowledge ecosystem, including public and internal knowledge assets used by customers, partners, support engineers, and AI-powered experiences. This role drives the planning, execution, and continuous improvement of knowledge management and content platform initiatives that improve content quality, discoverability, governance, compliance, operational efficiency, and customer outcomes. The successful candidate will partner across engineering, data, business, and support organizations to define requirements, develop technical specifications, analyze large-scale data sets, manage dependencies, and deliver scalable solutions that advance Microsoft's AI-first knowledge strategy. The role requires strong technical acumen, analytical problem-solving skills, program leadership, and the ability to influence diverse stakeholders while driving clarity, execution, innovation, and measurable business impact. 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
Lead complex, cross-functional programs that improve the quality, discoverability, governance, and lifecycle management of Microsoft's public and internal knowledge assets. Partner with engineering, business, support, and content stakeholders to define requirements, prioritize investments, manage dependencies, and drive successful program execution. Develop product requirements, technical specifications, business processes, and operational plans that enable scalable and sustainable solutions. Analyze data and business metrics to identify insights, measure outcomes, and inform strategic and operational decisions. Drive cross-team alignment, risk management, readiness planning, stakeholder communications, and delivery accountability across multiple concurrent initiatives. Identify opportunities to apply automation and AI technologies to improve knowledge management processes, operational efficiency, and customer outcomes.
Qualifications
Required/minimum 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. Experience gathering business requirements and translating them into technical specifications, functional requirements, and actionable delivery plans. Experience using data