The Microsoft AI for Good Lab leverages the power of data, our cloud technology, data science, and the Microsoft brand to catalyze and inspire others to partner in solving the world’s greatest challenges. We are seeking a strong Product Manager who thinks strategically, operates pragmatically in a dynamic environment, and demonstrates a high level of inclusivity with a deep growth mindset. In this role, you will drive results across several strategic pillars: (1) understanding and protecting institutions from cyber threats and cyber-influence campaigns; (2) enabling inclusive economic growth globally through a commitment to digital equity, literacy, and skills; (3) assisting with research on AI LLM solutions that support low-resource languages; and/or (4) leveraging technology to promote fundamental human rights, with a focus on sustainability, resiliency, and population health. This role is directly responsible for developing and prioritizing projects that demonstrate positive change and impact, ensuring insights are prepared and shared programmatically through data-driven storytelling, and establishing and growing cross-disciplinary partnerships across Microsoft and external experts and organizations to scale the speed and size of succes s. In addition to driving results for our key initiatives, you will directly contribute to creating a global team by modeling Product Management in AI excellence that embodies our values and culture. Work collaboratively with Data Scientists, Architects, and Experts in diverse fields to define and influence strategy to drive impact for one or more key initiative areas. Communicates strategy to internal and external partners to build consensus through multiple methods. Own and/ or partner in driving impact and tracking success criteria and performance metrics (e.g., Objectives and Key Results [OKRs], Key Performance Indicators [KPIs] ). You will d etermine the value of the project, align success criteria, and measure success. Identif y data-informed, short-term and long-term investment opportunities, evaluate tradeoffs, and prioritize investments in consultation with cross-functional partners. Determine the projects and features to prioritize in the roadmap that will support achievement of success criteria and Objectives and Key Results (OKRs). Evangelize the work with internal and external stakeholders and partners through presentations, papers, blog posts, social media, and other forums. Present at small and large events. Act as a primary interface with Public Relations, internal and external partners to develop the messaging framework. Build and manage partnerships with business and engineering stakeholders across multiple internal and external organizations, including international nonprofits, NGOs, and research labs. Collaborate with multidisciplinary teams of AI, policy, and field-specific experts to drive impactful initiatives and foster global collaboration. Champion Agile best practices by actively promoting organization-wide adoption, providing guidance and support to team members, and creatively contributing to the continuous improvement of internal processes within the Lab. Embody our culture and values Required Qualifications Bachelor’s Degree AND demonstrable experience in product/service/project/program management or software development Or equivalent experience Demonstrable experience working with an academic and/or NGO organization Demonstrable technical proficiency for core networking in on premise and cloud computing Service Preferred Qualifications Relevant experience in delivering data science-related products and services with end-to-end ownership. Demonstrable experience in policy development, teaching, training, and/or evangelism. Proficient writing capabilities to deliver functional and technical specs, formal presentations, and external communications. Interpersonal skills to effectively collaborate within the team and across orgs to manage stakeholders, drive alignment, and synergies to deliver impact. Demonstrated ability to communicate ideas effectively with engineers, leadership team as well as non-technical partners and customers. Working knowledge of AI concepts, including language models, machine learning, and ethical AI practices. Demonstrated proficiency in two or more languages, with the ability to communicate effectively across diverse linguistic and cultural contexts. Problem-solving skills with strong technical proficiency and strategic thinking. Experience in analyzing data, deriving actionable insights to drive impactful engineering solutions. Ability to be influential and impactful in cross-group and matrixed team environments. Growth mindset to learn new areas and ability to adopt quickly to dynamic business conditions. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. CELA