AI Lab General Manager

MicrosoftTulsa, OK
1d

About The Position

Security represents one of the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We aim to reshape security and empower every user, customer, and developer with a security cloud that protects them through end-to-end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry are securing digital technology platforms, devices, and clouds in heterogeneous environments, as well as safeguarding our own internal estate. Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best every day. In doing so, we create life-changing innovations that impact billions of lives around the world. Artificial Intelligence (AI) is transforming the security landscape, and Microsoft is committed to advancing AI responsibly and ethically. We are looking for an AI Lab General Manager to help launch the Greenwood Cyber + AI Lab, a strategic hub designed to accelerate secure AI research, foster innovation, and build partnerships across academia, startups, and government. This lab will serve as a center of excellence for developing technologies that strengthen cyber resilience and deliver trustworthy AI solutions. As an AI Lab General Manager, you will lead the operational and strategic direction of this new facility. You will oversee day-to-day operations, ensure compliance with security and privacy standards, and create an environment that enables groundbreaking research in cybersecurity and AI. You will partner closely with engineering teams, research scientists, and external collaborators to deliver technical breakthroughs that align with Microsoft Security’s priorities. 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.

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.
  • Candidates must be able 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.

Nice To Haves

  • 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

  • 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.
  • Strategic Alignment: Integrate lab initiatives with Microsoft’s security product roadmap and AI safety objectives. 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.
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