Microsoft Member Technical Staff - Data Engineering Manager 

United States, New York, New York 

903785044

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad —to build systems that have true artificial intelligenceacross agents, applications, services, and infrastructure.so that everyone can realize its benefits.

an experiencedData Engineering Managerto help build the next wave of capabilities of our personal AI, Copilot.looking for someone whotechnical prowess, a methodical approach to problem-solving,technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate-class consumer experiences and products in a fast-paced environment. Theis responsible formetrics, measurement, dashboards, and analytical capabilities which influencesthe workin fine-tuning and deploying the core experience of Copilot.

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.

By applying to this U.S. New York, NewView, CA OR Redmond, WAposition, youare required tobe local to the NewSan Francisco OR Seattle area and in office 3 days a week.

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND8+ years technical engineering experience buildingteams andapplications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java

• OR equivalent experience.

• + years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of various datastores like RDBMS, key-value stores, etc.

• + years' experiencein engaging with executive leaders as wellas internalstakeholders like data science engineers, product managers and data engineers buildingdata products.

Preferred Qualifications:

• in building teamsof engineers, analysts, data scientiststo manage large scaleData warehouseand metrics & toolinginfrastructure, includingexperiencein managingstakeholderseffectively handling data driven decisions.

• Ability toidentify, analyze, and resolve complex technicaland data relatedissues, ensuringoptimalperformance, scalability, and user experience.

• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

• clear ownership onmetrics and measuring every product feature gets rolled outto improve the quality of the consumer facing products.

• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year.

Certain roles may be eligible for benefits and other compensation. Findbenefits and pay information here:

Microsoft will accept applications for the role until September 13, 2024.

• Ownership of end-to-end Metrics and Measurement of consumer facing Copilot platform.

• provide metrics and measurement for allAI products and services.

• Build scalable,high-quality, well-tested, secure,Data measurement platform.

• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

• Enjoy working in a fast-paced, design-driven, product development cycle.

• Embody ourand.