{"id":105893,"date":"2026-08-05T06:22:38","date_gmt":"2026-08-05T06:22:38","guid":{"rendered":"https:\/\/jobs.dataaxisnode.com\/kenya\/uncategorized\/technical-product-manager\/"},"modified":"2026-08-05T06:22:38","modified_gmt":"2026-08-05T06:22:38","slug":"technical-product-manager","status":"publish","type":"post","link":"https:\/\/jobs.dataaxisnode.com\/kenya\/jobs\/nairobi\/technical-product-manager\/","title":{"rendered":"Technical Product Manager"},"content":{"rendered":"<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\/\", \"@type\": \"JobPosting\", \"title\": \"Technical Product Manager\", \"description\": \"Role Summary\\nProject A is ALX\u2019s AI learning platform: LLM products built on hypotheses about how people learn and how AI can help. Some of those hypotheses are wrong; this role\u2019s job is to find out which ones, fast. It centres on uncertainty reduction rather than product vision. You own the Experimentation-Harness as a function \u2014 instrument the AI products well enough to evaluate them, source learners for betas the binding constraint on the whole programme, run the ongoing beta tests, and close the loop: data reviewed, improvements shipped, next PoC out the door. UX validation is captured alongside learning validation, so we know not just whether it teaches but whether people can use it.\\nSpecific Responsibilities\\nLearner Supply & Instrumentation\\nBuild a repeatable pipeline of beta learners, engaging the right internal teams to keep them flowing \u2014 the constraint that gates everything else, and it rewards hustle over process.\\nInstrument the AI products in partnership with the LLMOps Engineer \u2014 you instrument; they build the evals over what is captured.\\nThe Experiment Loop\\nOwn the experiment loop \u2014 a backlog of the team\u2019s biggest uncertainties, experiments designed against them, cycle time measured and shrinking.\\nClose the loop: data reviewed, UX and learning validation captured, improvements shipped, and the next PoC out the door.\\nSkill Requirements - Essential\\nProduct experimentation: you have run it end-to-end, hypothesis, instrumentation, decision. A\/B testing or structured product testing on a live product.\\nTechnical fluency: you can talk concretely about instrumenting a product, read AI-eval results, and hold your own with engineers. You don\u2019t need to code daily.\\nOperator ability: recruiting and coordinating real users, running a beta programme, and wrangling stakeholders.\\nDesirable not required: hands-on eval or analytics skills; EdTech experience.\\nEssential Traits for Success\\nYou have a scientific mindset. You know what an experiment can and can\u2019t conclude, and your favourite experiments include ones that killed an idea you loved.\\nYou\u2019d enjoy the question \u201chow would you get 50 beta learners in two weeks with no budget?\u201d enough to start answering it in the interview.\", \"datePosted\": \"2026-08-04\", \"hiringOrganization\": {\"@type\": \"Organization\", \"name\": \"ALX\"}, \"jobLocation\": {\"@type\": \"Place\", \"address\": {\"@type\": \"PostalAddress\", \"addressLocality\": \"Nairobi\", \"addressCountry\": \"KE\"}}, \"directApply\": true, \"validThrough\": \"2026-08-18T23:59:59\", \"employmentType\": \"FULL_TIME\"}<\/script><\/p>\n<p><strong>Company:<\/strong> ALX<\/p>\n<p><strong>Location:<\/strong> Nairobi<\/p>\n<p><strong>Job Type:<\/strong> Full Time , Remote<\/p>\n<p><strong>Apply Before:<\/strong> 2026-08-18<\/p>\n<h3>Job Description<\/h3>\n<p>Role Summary<br \/>Project A is ALX\u2019s AI learning platform: LLM products built on hypotheses about how people learn and how AI can help. Some of those hypotheses are wrong; this role\u2019s job is to find out which ones, fast. It centres on uncertainty reduction rather than product vision. You own the Experimentation-Harness as a function \u2014 instrument the AI products well enough to evaluate them, source learners for betas the binding constraint on the whole programme, run the ongoing beta tests, and close the loop: data reviewed, improvements shipped, next PoC out the door. UX validation is captured alongside learning validation, so we know not just whether it teaches but whether people can use it.<br \/>Specific Responsibilities<br \/>Learner Supply &#038; Instrumentation<br \/>Build a repeatable pipeline of beta learners, engaging the right internal teams to keep them flowing \u2014 the constraint that gates everything else, and it rewards hustle over process.<br \/>Instrument the AI products in partnership with the LLMOps Engineer \u2014 you instrument; they build the evals over what is captured.<br \/>The Experiment Loop<br \/>Own the experiment loop \u2014 a backlog of the team\u2019s biggest uncertainties, experiments designed against them, cycle time measured and shrinking.<br \/>Close the loop: data reviewed, UX and learning validation captured, improvements shipped, and the next PoC out the door.<br \/>Skill Requirements &#8211; Essential<br \/>Product experimentation: you have run it end-to-end, hypothesis, instrumentation, decision. A\/B testing or structured product testing on a live product.<br \/>Technical fluency: you can talk concretely about instrumenting a product, read AI-eval results, and hold your own with engineers. You don\u2019t need to code daily.<br \/>Operator ability: recruiting and coordinating real users, running a beta programme, and wrangling stakeholders.<br \/>Desirable not required: hands-on eval or analytics skills; EdTech experience.<br \/>Essential Traits for Success<br \/>You have a scientific mindset. You know what an experiment can and can\u2019t conclude, and your favourite experiments include ones that killed an idea you loved.<br \/>You\u2019d enjoy the question \u201chow would you get 50 beta learners in two weeks with no budget?\u201d enough to start answering it in the interview.<\/p>\n<h3>How to Apply<\/h3>\n<p>Interested and qualified? Go to ALX on job-boards.greenhouse.io to apply<br \/>Build your CV for free. Download in different templates.<\/p>\n<p><a href=\"https:\/\/www.myjobmag.co.ke\/apply-now\/1296508\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:10px 20px;background:#2271b1;color:#fff;text-decoration:none;border-radius:4px;\">Apply Now<\/a><\/p>\n<p><small>Source: MyJobMag<\/small><\/p>\n<p><!-- job-expiry: 2026-08-18 --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Company: ALX Location: Nairobi Job Type: Full Time , Remote Apply Before: 2026-08-18 Job Description Role SummaryProject A is ALX\u2019s AI learning platform: LLM products built on hypotheses about how people learn and how AI can help. Some of those hypotheses are wrong; this role\u2019s job is to find out which ones, fast. It centres [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1408,1409],"tags":[1944,1504,1413,1412],"class_list":["post-105893","post","type-post","status-publish","format-standard","hentry","category-jobs","category-nairobi","tag-alx","tag-full-time-remote","tag-job-listing","tag-myjobmag"],"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts\/105893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/comments?post=105893"}],"version-history":[{"count":0,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts\/105893\/revisions"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=105893"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/categories?post=105893"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/tags?post=105893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}