Principal Technical Program Manager, Responsible AI

Microsoft•Redmond, WA
•$142,800 - $304,200

About The Position

The Principal Technical Program Manager, Responsible AI, works on Microsoft’s Sensitive Uses and Emerging Technologies team within the Office of Responsible AI in the Corporate, External, and Legal Affairs division. The role provides internal consulting and assessment for high-impact AI use cases and supports the Sensitive Uses program. It evaluates AI-driven products, assesses risks, defines requirements, develops strategic initiatives, manages sensitive-use programs and processes, supports incident response, and helps socialize policies that enable safe and responsible AI development and deployment. The position partners with engineering, policy, research, sales, and marketing stakeholders to respond to changes in AI technology and policy, and to drive requirements across product teams. It focuses on Microsoft’s most sensitive and cutting-edge AI products, emerging technologies, and initiatives, including generative AI and frontier models. The role also works with internal teams to develop scalable responsible AI policies and practices, support implementation of Microsoft’s Responsible AI Standard, and coordinate governance throughout the development lifecycle.

Requirements

  • Bachelor’s degree and 6+ years of experience in engineering, product or technical program management, data analysis, applied science, technology policy, research, governance, product development, or a related area, or equivalent experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects.
  • Ability to navigate ambiguity and adapt to rapidly changing environments while establishing useful structure and process.
  • Experience working in or with a large, matrixed organization.
  • Ability to collaborate effectively across departments and with executives, promote cooperation, and solve problems creatively and professionally.
  • Ability to engage and influence varied internal and external stakeholders and reason through perspectives of executives, engineers, developers, sellers, researchers, civil society organizations, and regulators.
  • Highly developed written and verbal communication skills, including communication with business leaders and engagement in small and large group settings.
  • Experience in strategic program management, execution, operations, and evaluation; ability to manage multiple priorities, projects, and deadlines and identify and address technical or process blockers.
  • Record of experimentation, openness to feedback, and learning from successes and failures.
  • Commitment to high ethical standards, integrity, and Microsoft’s diversity and inclusion commitments.

Nice To Haves

  • 3+ years of work experience involving artificial intelligence, machine learning, or responsible AI, such as AI/ML engineering, AI-related technical program management, AI product development, AI/ML data science, inclusive design, ethics, safety, fairness, explainability, accessibility, privacy, security, AI governance, or AI policy.
  • Experience with generative AI.
  • Technical experience in responsible AI, AI ethics, AI safety, digital safety, or security.
  • Experience managing cross-functional and/or cross-team projects.

Responsibilities

  • Evaluate and develop internal guidance and programs for high-impact AI models, products, and use cases, including generative AI and frontier-model releases.
  • Assess AI system architectures, identify patterns and risks, and provide actionable risk-mitigation guidance and scalable policies for AI deployments across social contexts.
  • Partner with engineering teams to prioritize and deliver product-roadmap work, evaluate upcoming releases for responsible AI risks and mitigation effectiveness, and connect AI technology and engineering implementations with AI policy.
  • Manage, document, and drive progress on responsible AI requirements across engineering, sales, and research teams implementing AI in products, features, and customer engagements.
  • Manage AI governance programs and processes to ensure performance requirements and standards are met throughout the development lifecycle.
  • Build relationships and coordinate responsible AI development and implementation across feature areas and complex cross-functional projects; align stakeholders on product management and release decisions, tradeoffs, adjustments, and improvements.
  • Embody Microsoft’s culture and core values, including high ethical standards, integrity, and commitment to diversity and inclusion.
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