Jobs via Dice ยท 2 days ago
Software Engineering Manager
Microsoft is a leading technology company focused on empowering every person and organization to achieve more. As the Engineering Manager for the Eval Tooling team, you will lead the development of evaluation tooling for AI scenarios across OneDrive and SharePoint, enhancing developer productivity and enabling safe and confident AI iterations.
Computer Software
Responsibilities
Lead, mentor, and develop a high-performing engineering team building evaluation tooling for AI scenarios across ODSP Experiences
Define and drive the technical strategy for offline and online evaluation, including scenario-based frameworks, dataset pipelines, LLM auto-raters, metrics, and dashboards
Partner closely with ODSP Core Eval Platform and M365-wide tooling teams to leverage shared infrastructure, influence platform roadmaps, and align on quality bars
Enable model agility and safe shipping through automated quality gates, regression detection, telemetry instrumentation, and reliable online metrics
Collaborate deeply with AI feature teams across ODSP Experiences to embed evaluation into development workflows
Foster a culture of measurement rigor, engineering excellence, and inclusive growth, balancing fast iteration with trust, safety, and customer value
Qualification
Required
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
2+ years of engineering management experience, with a track record of leading and developing high-performing teams
2+ years of experience on engineering tooling or eval development
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
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 + OR 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 + OR equivalent experience
4+ years people management experience
Proven track record of hands-on technical leadership and people management in high-scale, cloud-based environments
Deep understanding of AI/ML concepts and practical experience applying AI to real-world product scenarios highly preferred
Strong architectural skills in building scalable, distributed systems and cloud services
Track record of rapid iteration, experimentation, and continuous learning
Excellent communication, collaboration, and stakeholder management skills
Company
Jobs via Dice
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Funding
Current Stage
Early StageCompany data provided by crunchbase