As a Product Manager for our AI and data product suite, you will play a pivotal role in bridging the gap between our clients and our technical teams. You will engage closely with clients to understand their challenges, needs, and objectives, and translate these into actionable product requirements. Your ability to build strong client relationships and communicate effectively will be essential in delivering solutions that truly make an impact.
You will lead cross-functional teams by coordinating with data scientists, engineers, and project managers to ensure the products we develop align with the client needs and are delivered on time. Your primary focus will be managing the product lifecycle—from ideation to deployment—while keeping client satisfaction and stakeholder alignment at the forefront.
Working in an agile and collaborative environment, you will facilitate continuous feedback between clients and internal teams, ensuring that our products evolve to meet market needs. Ultimately, you will play a key role in expanding the reach of AI-driven data solutions in Low- and Middle-Income Countries, enhancing our clients' ability to make data-informed decisions for greater impact.
Essential qualifications and skills
Anyone fulfilling the essential qualifications is encouraged to apply.
Client Engagement & Relationship Management: Strong experience in managing client relationships, setting clear expectations, and communicating progress and challenges effectively.
Developing Product Requirement Documentation (PRDs): Proven ability to understand client challenges and translate them into detailed PRDs and actionable requirements for technical team.
Stakeholder Management: Ability to navigate and coordinate between multiple stakeholders, balancing business needs with technical feasibility.
Project Management: Experience in managing project timelines, resource allocation, and prioritization of tasks in collaboration with cross-functional teams.
Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex ideas in a clear and accessible manner.
Agile Methodology: Experience with Agile/Scrum frameworks to ensure iterative delivery and alignment with client feedback.
Problem Solving: Proactive approach to identifying potential bottlenecks and addressing challenges in product development and delivery.
Leadership: Demonstrated ability to lead teams, inspire collaboration, and drive projects to successful completion.
Desirable qualifications and skills
We do not expect candidates to meet all desired qualifications.
Experience in Development Contexts: Previous experience working in or with development organizations or LMICs.
Technical Knowledge: Familiarity with data science tools, techniques, and data infrastructure to facilitate effective communication with technical teams.
Understanding of Data Products: Deep understanding of the data product lifecycle, including data collection, processing, analytics, and deployment of data-driven solutions.
AI & Machine Learning: Familiarity with GenAI, machine learning algorithms, and their applications in data products.
UX/UI Experience: Understanding of UX/UI design principles to ensure user-friendly product development.
Data Engineering Knowledge: Exposure to data engineering practices for data collection, processing, and storage.
Familiarity with AI Ethics: Understanding of Responsible AI practices and their application in the development of AI products.