AI Lab General Manager

Microsoft • Tulsa, OK

5d

About The Position

Operational Leadership: Manage lab operations, including compute resource allocation, security compliance, and cost efficiency. Implement staffing models and engineering support processes to ensure agility and scalability. Drive programs that support national cyber resilience and global security priorities. Talent Development: Build and manage internship, fellowship, and full-time pipelines with universities and community organizations. Champion diversity and inclusion in technical hiring and workforce development. Partnership & Ecosystem Engagement: Cultivate relationships with startups, academic institutions, and government partners. Organize joint research initiatives, technical workshops, and collaborative projects. Keep the program in good standing with the requirements of federal grant funding. Innovation & Research Enablement: Provide secure environments for AI model testing, threat research, and rapid prototyping. Accelerate production integration for customer-driven projects. Governance & Reporting: Define success metrics, track prototype velocity and integration milestones, and report progress to leadership with transparency and accountability.

Requirements

• Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 1+ years people management experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.
• These requirements include, but are not limited to the following specialized security screenings:
• Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 4+ years people management experience.
• 8+ years of experience managing cross-functional and/or cross-team projects.
• Proven experience managing technical labs or R D environments.
• Demostrated background in cybersecurity and AI/ML technologies.
• Ability to lead cross-functional teams and manage complex stakeholder relationships.
• Familiarity with compliance, privacy, and risk management in high-security contexts.
• Experience with public-private partnerships and ecosystem development.
• Knowledge of GPU infrastructure and AI model lifecycle management.
• Expertise in building talent pipelines and fostering inclusive innovation.

Responsibilities

• Manage lab operations, including compute resource allocation, security compliance, and cost efficiency.
• Implement staffing models and engineering support processes to ensure agility and scalability.
• Drive programs that support national cyber resilience and global security priorities.
• Build and manage internship, fellowship, and full-time pipelines with universities and community organizations.
• Champion diversity and inclusion in technical hiring and workforce development.
• Cultivate relationships with startups, academic institutions, and government partners.
• Organize joint research initiatives, technical workshops, and collaborative projects.
• Keep the program in good standing with the requirements of federal grant funding.
• Provide secure environments for AI model testing, threat research, and rapid prototyping.
• Accelerate production integration for customer-driven projects.
• Define success metrics, track prototype velocity and integration milestones, and report progress to leadership with transparency and accountability.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees