Full job description
The MAI Monetization organization at Microsoft seeks a Senior Technical Program Manager to lead execution of Ads monetization programs. This role involves hands-on product development and delivery leadership from product intent through launch and post-launch measurement. Responsibilities include managing delivery plans, driving execution against revenue goals, bridging product and engineering teams, coordinating cross-functional dependencies, running A/B tests with Product and Data Science, ensuring operational excellence, managing communication and stakeholder alignment, and using AI tools to prototype technical solutions. Required qualifications include a Bachelor's degree with 4+ years in engineering, product/technical program management, data analysis, or product development, plus 2+ years managing cross-team projects. Preferred qualifications include 8+ years experience, advertising or ad-tech experience, experimentation expertise, finance partnership, ad-tech system knowledge, AI/ML system experience, large-scale distributed system delivery, and coding experience. The role is full-time, on-site in Redmond, Washington, with salary ranges from $119,800 to $234,700 annually depending on location.
What you'll do
- Own end-to-end delivery of Ads monetization programs from product intent through flighting, launch, and post-launch measurement with accountability for timelines, quality, and business outcomes
- Build and maintain delivery plans, schedules, and operating rhythms to keep teams aligned and predictable
- Drive execution against revenue goals and release commitments; proactively surface and close gaps
- Bridge product intent and engineering execution; translate PRDs into execution plans and engineering requirements
- Provide context for architecture and technical trade-off decisions across ad delivery, targeting/bidding, ranking, ad serving, and monetization surfaces
- Identify and manage dependencies across Engineering, Product, UX, Data Science, MSA, PMM, Compliance, and Operations
- Resolve trade-offs, drive conflict resolution, and manage information flow to unblock execution
- Partner with Product and Data Science to run A/B tests, validate monetization hypotheses, measure revenue and user-experience impact, and drive prioritization
- Define success indicators; track program health and launch/post-launch metrics; maintain dashboards and reporting
- Drive delivery discipline through documentation rigor, readiness reviews, and consistent execution frameworks
- Coordinate privacy, security, and compliance readiness for monetization launches; support budget/financial reporting
- Communicate proactively and escalate risk early; facilitate alignment discussions and keep stakeholders updated
- Build alignment among engineering and product leaders across Ads, Search, and partner teams
- Use AI/coding tools to build lightweight prototypes and technical artifacts to validate assumptions and accelerate solution exploration
Requirements
- 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
- Preferred: Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
- Preferred: 4+ years experience managing cross-functional and/or cross-team projects
- Preferred: 2+ years experience in advertising, monetization, search, commerce, or marketplace/ad-tech systems
- Demonstrated experimentation background — designing and interpreting A/B tests and using data to drive product decisions
- Experience partnering with Finance/Business on revenue modeling and business-impact measurement
- Working knowledge of ad-tech systems: real-time/programmatic auctions, bidding, ranking algorithms, click-through prediction, ad serving, and campaign platforms
- Experience with AI/ML-powered systems (personalization, recommendation, or AI-driven monetization)
- Experience delivering on large-scale distributed, real-time, or high-volume data systems
- 1+ year experience reading and/or writing code
Tech stack
AImachine learningA/B testingad-tech systemsreal-time auctionsprogrammatic auctionsbidding algorithmsranking algorithmsclick-through predictionad servingcampaign platformscoding
Benefits
Certain roles may be eligible for benefits and other compensation (details at https://careers.microsoft.com/us/en/us-corporate-pay)