Technical Program Manager- Advertising Measurement

MicrosoftRedmond, WA
1dHybrid

About The Position

Microsoft Advertising is a rapidly growing business powering global advertisers across search, audience, and emerging AI-driven channels. The Measurement team builds foundational measurement solutions that enable advertisers to understand performance, optimize outcomes, and trust Microsoft Advertising as a results-driven platform. Measurement spans conversion tracking, attribution, cross-channel reporting, viewability, experimentation, and third-party measurement integrations. We are seeking a Principal Technical Program Manager (TPM) to lead execution across Advertising Measurement initiatives. This role focuses on delivering reliable, privacy-aware, and scalable measurement primitives that directly impact advertiser decision-making. You will work closely with Product Managers, Engineering Managers, and Software Engineers to translate product requirements into shipped outcomes across complex, data-intensive systems. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects.

Nice To Haves

  • Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 8+ 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).
  • Demonstrated ability to translate PRDs into shipped outcomes across multiple engineering teams and systems.
  • Solid expertise in dependency management, risk mitigation, planning, and release execution.
  • Excellent communication and stakeholder management skills, including executive-level updates.
  • Experience working closely with Engineering Managers and Software Engineers in highly technical environments.
  • Solid technical fluency with event pipelines, telemetry systems, data quality validation, and large-scale data processing.
  • Experience with advertising measurement, conversion tracking, attribution, experimentation, or analytics platforms.

Responsibilities

  • Drive execution for Measurement programs: Translate PRDs into actionable execution plans across conversion tracking, attribution, cross-channel measurement, viewability, and third-party measurement integrations.
  • Coordinate cross-functional teams: Partner with Product, Engineering, Data Science, and Privacy stakeholders to ensure alignment, unblock issues, and deliver on commitments.
  • Lead program execution and delivery: Run core program routines including planning, dependency management, risk tracking, status reviews, and executive communications.
  • Shepherd releases end-to-end: Oversee development, quality validation, launch readiness, and post-launch monitoring for measurement features and platforms.
  • Define and drive success metrics: Partner with Product and Engineering to identify meaningful success metrics for measurement solutions, and ensure telemetry and reporting are in place to track progress and outcomes.
  • Ensure data quality and reliability: Drive solid practices around event pipelines, telemetry, data validation, and system observability to ensure accurate and trusted measurement.
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