Head of Product

About

Living Goods seeks a Head of Product to own product strategy and roadmap for its digital products, build the product management function, and lead applied AI capability. The role reports to the Chief Technology and Product Officer and line manages the Product team. It requires 10 or more years in product management, including leadership of product managers, production AI delivery experience, and strong discovery practice in resource-constrained settings. Terms of service: Full Time. Duty station: Nairobi, Kenya. Salary: A competitive salary and benefits package commensurate with experience including health insurance and bonus opportunity.

How to apply

Apply online through the official Living Goods career page. Submit the required resume; a cover letter, LinkedIn Profile URL and desired salary are also requested on the application form.

Responsibilities

• Set and own the product strategy in line with our Program and Innovation strategy: what the products are for, who they serve, what they should do three years from now, and where AI earns its place.
• Own a single roadmap across the active software build lines, with AI features sequenced on it alongside everything else, and decide how it is ordered.
• Define the objectives and key results for the product function and for each product, and review performance against them.
• Lead discovery with community health workers, supervisors, programme staff and government partners, and bring evidence to decisions honestly, including recommendations to stop.
• Design for real constraints and for government ownership: intermittent connectivity, low-end devices, variable literacy, and a recurring cost a ministry can carry.
• Lead the transformation to a truly AI-native engineering organisation, set the strategy and roadmap to move the department up its AI-maturity curve.
• Lead from the front - stay genuinely hands-on.
• Turn functions into leverage — reshape roles like QA and product design away from per-team, per-task work toward “factory” capabilities: building the agents and systems that test and design at scale.
• Manage the human side of the change — take engineers through a fundamental shift in how they work, address the real fears that come with it, and turn the transition into something the team is energised by.
• Deliver — ship against programme and product commitments with a lean, high-leverage team, and keep quality high as more of the work moves through an agentic toolchain.
• Define what good product management looks like at Living Goods and make it visible: problem statements, outcome measures, written decisions and honest post-release review.
• Establish the operating rhythm of the function, covering intake, refinement, release planning and outcome review.
• Shift the default question from what should we build to what problem are we solving and how will we know it worked.
• Accelerate experimentation and hypothesis-based learning: frame work as testable hypotheses, design the cheapest test that could disprove one, and treat a disproved hypothesis as a good outcome.
• Make the case for product management across programmes, engineering and country teams, and make it safe to stop things on evidence.

Qualifications

• 10 or more years in product management, including 3 or more years leading, coaching and developing product managers.
• Experience establishing product management where it did not previously exist, including the work of persuading colleagues to adopt it.
• AI features shipped into production, covering evaluation, quality control and human oversight, not proof of concept work alone.
• Judgement in choosing between models and providers on capability, latency, offline behaviour, data residency, cost and exit options.
• Ownership of several products at different lifecycle stages, with evidence of having stopped or changed direction on the basis of data.
• Strong discovery practice with users in low-connectivity, low-literacy or resource-constrained settings.
• Excellent written communication. The post-holder must make the case for product management in writing to sceptical audiences, so this is near-disqualifying if weak.
• Experience in digital health, community health systems or international development.
• Experience of building for or handing over to government systems.
• Experience of open-source health platforms such as CHT, OpenSRP or CommCare.
• Impact First. Uses digital products to improve health outcomes and system performance, not as an end in themselves.
• Product Judgement. Decides what to build, what to stop and what to leave alone, and can explain the reasoning to engineers, programme staff and donors alike.
• Evidence Over Enthusiasm. Tests claims before making them, and is precise about what has been proven and at what scale.
• AI Fluency. Applies AI to real health system problems with a clear grasp of capability, cost, risk and the limits of current models.
• Builds Capability in Others. Coaches rather than corrects, and leaves colleagues more capable than they were.