We're looking for an experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product.

We're looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate.

The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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 mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.

• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.

• Prototype and productionize ML models for anomaly detection and predictive insights.

• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.

• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.

• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability, scalability, and cost efficiency.

• Have solid experience in ML systems, anomaly detection, and large-scale data processing.

• Generalize machine learning (ML) solutions into repeatable frameworks.

• Independently write efficient, readable, extensible code and model pipelines.

• Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

• Be hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

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.

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

• Experience writing production-quality Python or Java code.

• Demonstrated interest in Responsible AI.

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We're looking for an experienced Engineering Manager with solid hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product.

We're looking for someone with experience leading product development leveraging data pipelines, data science, and machine learning, as well as a solid communicator and great teammate.

The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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 mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.

• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.

• Prototype and productionize ML models for anomaly detection and predictive insights.

• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.

• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.

• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability, scalability, and cost efficiency.

• Have solid experience in ML systems, anomaly detection, and large-scale data processing.

• Generalize machine learning (ML) solutions into repeatable frameworks.

• Independently write efficient, readable, extensible code and model pipelines.

• Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

• Be hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

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.

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

• Experience writing production-quality Python or Java code.

• Demonstrated interest in Responsible AI.

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