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Principal Product Manager, AI for Global Challenges

Microsoft
United States, Washington, Redmond
Jul 03, 2025
OverviewMicrosoft's AI for Good Lab is seeking a mission-driven Principal Product Manager, AI for Global Challenges to lead the development of AI- and data science-powered solutions that address pressing global challenges. This onsite role at Microsoft's Redmond campus is ideal for a technically fluent product leader who can bridge AI research, product strategy, and social impact. As the Principal Product Manager, AI for Global Challenges, you will shape the roadmap for AI tools that support governments, NGOs, and communities in tackling complex societal and environmental issues. Example focus areas may include resilience, climate adaptation, and food security. You'll collaborate closely with data scientists, engineers, interns, and policy experts to ensure solutions are technically robust, user-centric, and ethically grounded. 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.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positivelyimpactour culture every day.
ResponsibilitiesKey Responsibilities:Define and document product roadmaps for AI solutions aligned with Microsoft's AI for Good strategy and stakeholder needs.Translate real-world challenges into actionable product requirements and technical specifications.Collaborate with AI engineers, data scientists, and UX teams to design and deliver machine learning-driven features using foundational models (e.g., GPT, BERT, geospatial transformers).Lead iterative development cycles using Agile methodologies, emphasizing rapid prototyping, user validation, and impact measurement.Foster an inclusive, learning-oriented team culture by mentoring interns and early-career contributors in AI development, ethics, and product thinking.Coordinate across internal teams, vendor partners, researchers, and mission-aligned stakeholders in a managed service environment.Ensure Responsible AI principles-fairness, transparency, privacy, and security-are embedded throughout the product lifecycle.Communicate technical progress and outcomes clearly to both technical and non-technical audiences.Track product success using metrics related to user outcomes, model performance, adoption, and social impact.Embody our Cultureand Values. Responsible AI, Security, and Governance:Partner with Responsible AI and compliance teams to ensure ethical reviews, threat modeling, and regulatory assessments are conducted.Promote transparency and trust in AI solutions through interpretability, human-in-the-loop safeguards, and robust documentation.Apply governance best practices to AI development and deployment in sensitive domains.What Success Looks Like:Delivery of impactful, Responsible AI solutions that address urgent global needs and are validated by real-world users.Clear product direction, collaborative execution, and rapid iteration cycles guided by ethical and scientific rigor.Interns and early-career team members feel supported, empowered, and able to meaningfully contribute to socially beneficial AI outcomes.Solutions that are transparent, scalable, and grounded in Microsoft's Responsible AI principles and mission-driven commitments.
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