Product Management Intern (AI for Good Research Lab) Full-time

Job Location: Nairobi, Kenya

Duration: 12 months

The Microsoft AI for Good Research Lab leverages the power of data, our cloud technology, data science talent, and the Microsoft brand to catalyze and inspire others to partner in solving the world’s greatest challenges. Over the past four years, AI for Good Lab has become a data and AI driven solution creator, storyteller, and trusted advisor working closely with leaders across Microsoft, academia, NGOs, and all levels of government. Our mission is to be one of the top applied research and data visualization labs driving positive change in the world, inspiring and serving as a blueprint for others.

We are seeking a strong Product Manager who thinks strategically, works pragmatically in a dynamic environment, and is highly inclusive with a deep growth mindset. In this position you will drive results in one or more of our strategic pillars: Sustainability, Population Health, Disaster Response and Resiliency, Trust, Fundamental Human Rights, and the AI for Good Lab Azure Grant program.

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 success. 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.

Responsibilities:

• Work collaboratively with Research Scientists, Data Scientists, Architects, and Experts in diverse fields to define and influence strategy to drive impact for one or more key initiative areas. Communicate 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 determine the value of the project, align success criteria, and measure success.

• Identify 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.

Qualifications:

Required/Minimum Qualifications

• Recent Graduate Student or Graduate Student in an engineering, data science, or social science university program with quantitative analysis ( e.g. Economics, Sociology, Public Policy).

Additional or Preferred Qualifications

• Experience working within an academic and/or NGO organization OR an history of volunteering.

• Experience in analyzing or delivering science-related published research.

• Experience in software or data product management, leading teams to create or develop code-based solutions for internal or external opportunities.

• Experience in policy development, teaching, training, and/or evangelism.

• Excellent writing capabilities to deliver functional and technical specs, formal presentations, and external communications.

• Stellar 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.

• Great 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.