$274,800.

00 / yr United States, California, Mountain View Aug 04, 2026\nOverview The Data Management Platform (DMP) in Bing Ads, part of Microsoft AI (MAI) is hiring for aPrincipal Software Engineering ManagerinRedmond, WAorMountain view, CA. The Data Management Platform (DMP) team is at the heart of user understanding for Microsoft Advertising. We build and operate large-scale data pipelines, build services that operate under low latency and high throughput, provide APIs that enable identity resolution, user segmentation, targeting, and personalization. We are in the midst of transforming from on-prem to Azure across several data centers, and modernizing DMP stack. 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. Responsibilities Provide technical leadership on identifying dependencies and incorporating them into design documents, fostering collaboration across teams to align schedules and ensure security, compliance, and performance.\nEstablish best practices for test strategies, including security testing, testable code design, and leveraging AI tools for test automation.\nLead overall system architecture design for complex products, evaluating design options, writing design documents, and integrating new technologies while ensuring security, scalability, and compliance.\nOversee automation in production and deployment, ensuring continuous integration and deployment infrastructure promotes agility.\nDrive collaboration with partner teams to ensure end-to-end testing, scalability, and live-site readiness with clear escalation paths.\nEnforce security best practices, code invariants, security code reviews, deployment gates, and incident response processes including AI safety features.\nEnsure compliance with security, privacy, safety, and accessibility regulations across solutions with visible audit evidence.\nLead development and reuse of software tools to support efficient engineering practices.\nChampion new coding standards, secure design principles, and adoption of AI tooling to improve engineering productivity.\nPromote continuous learning and skill development within teams through knowledge sharing and training.\nManage project and release planning, resource management, and adherence to security and compliance in project execution.\nGuide experimentation using feature flags and telemetry to inform product decisions, collaborating across functions.\nOversee safe and optimized deployment practices, including rollback plans and dependency monitoring.\nDrive people management by modeling leadership principles, coaching, caring, and fostering growth.\nEstablish and oversee telemetry, monitoring, and incident response processes to maintain robust product support and security monitoring.\nLead live-site operations with standardized incident response, playbook development, on-call improvements, and promoting automated mitigation tools.\nProvide technical and people leadership in code reviews to ensure quality, test coverage, and adherence to coding standards.\nOversee teams in producing maintainable, well-tested, secure, performant code, improving code quality and managing development blockers.\nDevelop best practices in debugging, incident retrospectives, and cost-effective problem resolution, ensuring privacy and security.

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\nOR equivalent experience.

Other Requirements:

\nAbility 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:

Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\nOR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\nOR equivalent experience. #MicrosoftAI Software Engineering M5

The typical base pay range for this role across the U.S. is USD $142,800
$274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and 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:\nhttps://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. 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