Microsoft Logo

Microsoft

Senior Technical Program Manager

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
120K-261K Annually
Senior level
Lead cross-functional programs to improve knowledge asset quality, discoverability, governance, and lifecycle. Define requirements and technical specs, analyze data, manage risks and dependencies, drive AI/automation opportunities, and coordinate delivery across engineering, data, and business stakeholders.
The summary above was generated by AI
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 to drive decisions, measure outcomes, and influence business and technical stakeholders.
  • Demonstrated ability to communicate effectively with technical and non-technical audiences, including engineers, architects, business leaders, and support organizations.

Additional or preferred qualifications
  • Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development
    • OR equivalent 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).
  • Experience working with large-scale content, documentation, knowledge management, support engineering, or information systems environments.
  • Experience querying and analyzing data using business intelligence, reporting, or analytics platforms.
  • Experience developing technical specifications, process documentation, and program plans for complex systems or services.
  • Demonstrated ability to manage multiple concurrent initiatives and drive execution across highly matrixed organizations.
  • Proven problem-solving skills and ability to navigate ambiguity while delivering measurable business outcomes.
  • Software engineering or software development background with experience working closely with engineering teams throughout the product lifecycle.
  • Experience with AI, machine learning, Copilot, knowledge retrieval, search, content automation, or related technologies.
  • Experience supporting enterprise-scale documentation, technical publishing, content platforms, or knowledge management systems.
  • Experience using SQL, Kusto (KQL), Power BI, Azure Data Explorer, or similar business intelligence and analytics technologies.
  • Demonstrated track record of innovation and delivering scalable solutions to complex business and technical challenges.
  • Experience working in customer support, technical support, customer experience, or knowledge management organizations.
  • Experience driving AI-first, automation, or digital transformation initiatives that improve business performance, operational efficiency, or customer outcomes.

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.


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.

Microsoft Mountain View, California, USA Office

1065 La Avenida, Mountain View, CA 94043, Mountain View, United States, 94043

Microsoft Palo Alto, California, USA Office

Palo Alto, United States

Microsoft San Francisco, California, USA Office

835 Market Street, Suite 700, San Francisco, CA 94103, San Francisco, United States, 94103

Microsoft San Jose, California, USA Office

San Jose, United States

Microsoft Sunnyvale, California, USA Office

Sunnyvale, United States

Similar Jobs

5 Days Ago
Remote or Hybrid
United States
98K-165K Annually
Senior level
98K-165K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.
Top Skills: Ai And Machine LearningCi/CdCloud-Native SecurityConfluenceDevsecopsIdentity And Access Management (Iam)JIRAScmVulnerability Management
12 Days Ago
Remote
USA
152K-190K Annually
Senior level
152K-190K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.
Top Skills: Aws SagemakerAzure MlBatching StrategiesCudaDistillationDvcFeature StoresGcp Vertex AiHugging FaceKv-Cache OptimizationMlflowPyTorchQuantizationTensorrtTorchserveVector DatabasesVllmWeights & Biases
Yesterday
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Automotive
Lead technical delivery of autonomous vehicle deployments across multiple US logistics sites. Define scope, schedules, budgets, risks, and stakeholder communications while coordinating on-site support. Support deployments with technical troubleshooting, test-case definition, and occasional bug-fix coding to ensure safety, performance, and customer satisfaction.
Top Skills: AgileAtlassianC++DockerGitJIRALinuxPythonRosRos2ScrumZephyr

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account