Product Manager, AI Transformation

Product Manager, AI Transformation

Location: Nairobi, Kenya; Delhi, India; Dakar, Senegal

Grow as a Product Manager While Doing Meaningful Work

We are a growing and entrepreneurial team trying to accelerate the impact of the world’s most impactful organizations. Our AI Transformation work combines product development, internal innovation, and external consulting—we design and build contextually relevant AI tools for IDinsight and our partners.

This role offers end-to-end involvement: from problem scoping and tool design, to deployment, and providing hands-on support to internal teams and our partners. You will get to work closely with our partners, as well as with multidisciplinary team- economists, social sector experts, and functional leadership (finance, operations, legal, etc.) to create practical, impactful tools that accelerate social sector impact.

This role sits within the Impact & Transformation team. You will collaborate closely with IDinsight’s Data Science team while being primarily oriented toward the AI Transformation team’s internal and external mandates.

About the Role

The Product Manager will own IDinsight’s internal roadmap for accelerating and disrupting our work by leveraging AI, while contributing to external advisory engagements that help our partners do the same. The Product Manager will scope, build, and deploy AI-powered products that change how IDinsight and our partners deliver our core services. The role blends product management, user research, and technical coordination to ensure we're building the right things, shipping them fast, and generating real impact.

As a Product Manager on the AI Transformation team, the day-to-day work may include:

• Conducting user research with internal and external teams to understand workflows and pain points, and prioritizing where AI can deliver step-change improvements.
• Defining problem statements and translating user needs into actionable product specifications.
• Working with data scientists and engineers to scope, build, and deploy bespoke tools, applying agile principles to ship fast and kill what doesn't work.
• Scoping the product and technical components of external AI advisory engagements, including contributing to proposals and coordinating delivery.
• Tracking efficiency gains from deployed tools with hard metrics like hours saved, tasks automated, cycle time reductions and iterating based on usage data and feedback.

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• Creating playbooks and documentation that other teams can replicate.
• Synthesising, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations and reports.

Required Technical Qualifications

• Minimum 5 years of relevant professional experience, including at least 3 years in a Product Manager, Technical PM, or product-oriented consulting role focused on digital products or AI/data solutions.
• Strong working knowledge of advanced data science and AI concepts relevant to DSEM products (e.g., LLMs, GenAI applications, ML algorithms), and the ability to translate technical capabilities to non-technical stakeholders.
• Expert command of product analytics, growth experimentation (A/B testing), and proficiency in leveraging data platforms and pipeline concepts (e.g., SQL, Python) to define and track complex growth metrics.
• Experience conducting user research, translating fuzzy problems into clear solutions, defining problem statements, and validating assumptions through interviews and data.
• Proficiency in applying agile principles to manage product development like sprint planning, backlog prioritization, retrospectives, and stakeholder communication.
• Well-versed with technical architecture, such as cloud platforms (AWS/GCP), data integration workflows, or deployment constraints, in order to credibly engage partners and funders.
• A bachelor’s degree in a quantitative or technical field such as Engineering, Computer Science, Applied Math, or Data Science.

Other Required Qualifications

• Proven ability to work independently on ambiguous, multi-layered problems that involve both people and technology.

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• Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
• Strong values aligned with IDinsight’s stated values.
• Deeply passionate about evidence-informed policy, global development and improving lives in disadvantaged populations.
• Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
• Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.

Preferred Qualifications

The most competitive applicants will also have experience in one or more of the following:

• Experience living and working in developing country settings.
• Experience working within social sector organizations, especially nonprofits, research organizations, consulting organizations, or foundations.
• Experience applying advanced data science methods, such as optimization, unsupervised learning, or working with specialized data types (e.g., GIS software like QGIS, satellite imagery).
• Experience building or deploying AI agents, custom GPTs/Projects/Gems, or workflow automations (Zapier, Make, n8n).
• Familiarity with cloud platforms (AWS/GCP), data integration workflows, or deployment pipelines.

Nuts & Bolts

Location

This position is located in one of IDinsight’s existing offices, with the possibility of extensive travel dependent on project needs. While we have some teammates working remotely, the most likely offices for this position are New Delhi (India), Dakar (Senegal) and Nairobi (Kenya). Preference will be given to those with pre-existing work authorization in these countries; however, IDinsight will seek work permits where possible for exceptional candidates.

Compensation

Compensation is commensurate with relevant experience and background and is competitive within the social sector. We are especially proud of the people-focused benefits we offer, including comprehensive international health insurance, including mental health coverage; paid vacation, sick, and parental leave; relocation benefits; a travel stipend; technology and work-from-home stipends; a professional development budget; and more. Please note, as a non-profit, we are unable to provide compensation similar to leading technology firms.

Start Date

The start date of this position is flexible, although there is the potential to start almost immediately. We expect a minimum one-year commitment, with regular professional development conversations and potential for a long-term career at IDinsight.

References

Applications should include three references, including email, phone, and title. Briefly state in what capacity you worked with each reference.

How to Apply

Please click the “Apply for this job online” button at the top right. Applications will be reviewed on a rolling basis. The application asks various questions for us to get to know you and requires a CV and cover letter.

Please ensure that your CV includes relevant professional and personal experience and details on academic qualifications. CVs can range from one to two pages. Please note that headshot photographs, parental information, birth dates, marital status, and other personal information not relevant to the application do not need to be included in your CV. Additionally, we strongly encourage you to use your cover letter to highlight why you want to work for IDinsight specifically and what has prepared you to succeed in the role you’re applying for. A customized cover letter is an important part of IDinsight’s recruiting process as it allows us to understand your motivations for the position, relevant skills, and clarity of writing.

More information, including details on IDinsight’s hiring process and

frequently asked questions, can be found online at IDinsight Careers.