Principal Technical Program Manager - Microsoft Ads (Data, Platform & Tools) at Microsoft | AdTechTalent
Programmatic3 days agoOn-site
Microsoft
Principal Technical Program Manager - Microsoft Ads (Data, Platform & Tools)
technical program managerTPMMicrosoft AdsAImachine learningad techdistributed systemsexperimentationdata platformGPUCPUprogrammatic
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Mountain View, United States; Redmond, United States
Full job description
Microsoft Ads is hiring a Principal Technical Program Manager to lead complex technical programs in ad delivery systems at global scale. The role focuses on ads serving runtime, compute-intensive systems including GPU/CPU inference, and spans data, platform, and tools across online/offline ads systems, experimentation, metrics, data platforms, capacity, developer tooling, and engineering efficiency. Responsibilities include defining vision and strategy, driving system performance and reliability improvements, analyzing architecture and production data, forming technical viewpoints, owning initiatives end-to-end, defining success metrics, aligning cross-functional teams, resolving dependencies and risks, communicating progress and decisions, identifying systemic opportunities, using AI for technical research and execution, and fostering a culture of rigor and inclusion. Requirements include a Bachelor's degree with 6+ years experience in engineering or technical program management, experience with high-scale ads serving or distributed systems, understanding of ads technology, experience improving compute-intensive systems, hands-on technical investigation skills, versatility across technical domains, and leadership in cross-team programs. Salary ranges from $142,800 to $274,800 annually, with higher ranges for San Francisco Bay Area and New York City. Locations are Redmond, Washington and Mountain View, California.
What you'll do
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
Mountain View, United States; Redmond, United States
Full-time
Define and drive the vision, strategy, and measurable outcomes for complex technical programs across the Data, Platform and Tools space
Drive improvements in performance, reliability, scalability, capacity, cost efficiency, and operational readiness of high-scale production systems
Develop end-to-end understanding across services and online/offline components by reviewing architecture and code paths, analyzing production data and logs, evaluating experiments, and testing hypotheses
Form an evidence-based technical point of view, surface trade-offs, and influence engineering and product direction through depth, data, and sound judgment
Own complex initiatives end to end — from problem framing and solution definition through alignment, execution, rollout, measurement, and course correction — with accountability for outcomes
Define success criteria, metrics, and guardrails; use experimentation, telemetry, and production signals to assess customer, system, and business impact
Align engineering, product, data science, and business stakeholders across organizational boundaries, including senior leaders and globally distributed teams
Identify and resolve technical, organizational, and execution dependencies and risks; navigate ambiguity and obstacles without losing momentum or lowering the quality bar
Communicate program state early and clearly, including progress, risks, misses, trade-offs, and decisions, to both technical and executive audiences
Identify systemic opportunities beyond individual initiatives, connect investments across technical areas, and help shape broader technical and program direction
Use AI effectively for research, analysis, debugging, system understanding, and program execution while applying appropriate technical judgment and validation
Champion a culture of rigor, curiosity, quality, inclusion, and truth-seeking, with decisions grounded in evidence and systems designed for long-term robustness and scale
Requirements
Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Experience building, operating, optimizing, or troubleshooting high-scale ads serving, recommendation, machine learning, data, experimentation, or other distributed systems
Understanding of ads technology and how serving, inference, experimentation, data, identity/privacy, and monetization systems work together
Experience improving the performance, reliability, capacity, or cost efficiency of compute-intensive systems; CPU/GPU inference experience is a plus
Ability to work hands-on with code, queries, logs, dashboards, experiments, and system documentation to investigate complex behavior and develop an independent technical point of view
Demonstrated versatility across technical domains and ability to adapt as business and engineering priorities evolve, including effective use of AI tools for technical research, analysis, debugging, and productivity
Experience driving cross-team change, leading programs with significant customer or business impact, and mentoring TPMs, engineers, or other technical leaders
