Principal Engineer Manager at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

274800.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Leadership, Data Analysis, Customer Experience, Product Quality, Copilot Quality, Reliability, Performance Metrics, Strategy Definition, Platform Ownership, Insight Generation, Player-Coach, Technical Judgment, Communication, Causal Modeling, Telemetry Pipelines, Mentoring

Industry

Software Development

Description

Overview Do you thrive at the intersection of engineering leadership, data, and customer experience? Are you excited by the opportunity to shape how product quality is measured and improved across Microsoft? If so, the Insights, Data, Employee Experience, Agents, and Science (IDEAS) team may be a great fit for you. As a Principal Engineer Manager in Product Fabric, you will be responsible for growing a high‑performing engineering team responsible for Copilot quality and health signals, including ASHA, reliability, performance, and experience metrics that inform product planning, experimentation, and business reviews across Microsoft 365 Copilot and Apps. You will define the long-term strategy and lead the systems that power customer experience measurement across Microsoft. This role combines platform ownership with insight generation, ensuring product teams and leaders have trusted data to make informed decisions that improve customer outcomes. You will operate as a player–coach, balancing deep technical engagement with people leadership, while influencing across organizations. This is a highly visible, partner-facing role that requires strong technical judgment, clear communication, and the ability to drive alignment and outcomes at scale. IDEAS is central to Microsoft’s mission to empower every person and organization to achieve more. We champion a data-informed culture, value diverse perspectives, and foster an environment where people can learn, grow, and do their best work. 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 and grow a high‑performing engineering team responsible for Copilot quality and health signals, including ASHA, reliability, performance, and experience metrics that inform product planning, experimentation, and business reviews across Microsoft 365 Copilot surfaces. Own the technical health and evolution of Copilot experience metrics, ensuring they are accurate, resilient, explainable, and trusted at scale across millions of user interactions, and that they meaningfully reflect customer value, engagement, and retention drivers. Partner deeply with product, reliability, performance, experimentation, and data science teams to onboard new Copilot scenarios, refine quality and veto logic, and connect experience metrics with adjacent signals such as latency, failure modes, etc. Lead the design and delivery of Leading Business Indicators (LBIs) that are causally predictive of key business outcomes (e.g., adoption, retention, upsell), enabling faster, data-driven product and experimentation decisions across Copilot experiences. Build and scale reliable metric and analytics systems by operationalizing causal models, automating workflows (generation, drift detection, refresh), and partnering with product, data science, and engineering teams to translate insights into actionable product strategy. Drive engineering excellence through strong design reviews, operational rigor, on‑call health, incident learning, and continuous improvement of metric reliability, data quality, and end‑to‑end observability for customer experiences. Translate ambiguous customer and business problems into clear engineering priorities, balancing speed, quality, and long‑term sustainability while ensuring metrics remain actionable for decision‑making and experimentation. Model Microsoft’s leadership principles by coaching engineers, fostering inclusion and psychological safety, and investing in the technical and career growth of your team. Communicate clearly with senior leaders, using Copilot quality and health insights to explain customer impact, tradeoffs, risks, and progress in a concise, data‑driven manner that supports growth and customer retention goals. Embody our culture and values. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: 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. Preferred Qualifications: 8+ years of software engineering experience in distributed systems, data platforms, or large‑scale telemetry pipelines. 2+ years of people management experience, with a demonstrated ability to lead and grow high-performing engineering teams. Solid software engineering background with experience in distributed systems, data platforms, or large‑scale telemetry pipelines. Experience with full-stack development and cloud-based services. Demonstrated ability to operate and evolve production systems with high reliability, correctness, and operational maturity. Experience collaborating across organizational boundaries and influencing without authority. Experience working on customer experience metrics, reliability/performance systems, or experimentation platforms. Familiarity with data‑driven decision frameworks and translating complex signals into actionable insights for engineering and product teams. Experience operating at Microsoft‑scale or similar environments with high data volume and cross‑team dependencies. Passion for mentoring engineers and building inclusive, high‑trust teams. #IDEAS, #DPG #DPGHiring Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.

Responsibilities

The role involves leading and growing a high-performing engineering team focused on Copilot quality and health signals, including reliability and performance metrics that inform product planning across Microsoft 365 Copilot surfaces. Responsibilities also include owning the technical evolution of these experience metrics, partnering with various teams, and leading the design of Leading Business Indicators predictive of key business outcomes.