Technical Product Manager
AI summary
ALX is hiring a Technical Product Manager in Nairobi to own the experiment loop, build a repeatable beta-learner pipeline, and instrument AI products with the LLMOps Engineer. The role suits a hands-on operator with product experimentation and technical fluency who can run structured tests and coordinate real users.
- Owns the full experiment loop from hypothesis to shipped improvements
- Builds and maintains a repeatable beta-learner pipeline
- Instruments AI products in partnership with the LLMOps Engineer
- Requires product experimentation and technical fluency, not daily coding
- Diploma or Associate's degree accepted
AI job guide
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AI salary guide
Source salary availableThe source lists Confidential. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
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- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in call_center, internship, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
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- Role specificCover letter or short employer message
- OptionalProfessional references
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- Place your strongest Technical Product Manager evidence in the first half of your CV.
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Original source description
- A
- Technical Product Manager
- African Leadership X (ALX)
- Software & Data
- Today
- New
- Nairobi
- Full Time
Education
- Confidential
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- Language Requirement:
- English
- Working Hours:
- Full Time - 8 to 5
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- Diploma, Associate's degree
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Requirements
ABOUT THE COMPANY
The future of Africa will be defined by its leaders and their ability to unleash the incredible potential of the continent. ALX sees unprecedented opportunities for our fellow Africans to innovate, re-imagine and be the catalysts for transformation on the continent. ALX is a Pan-African leadership movement for high potential and high impact leaders that enables them to take on Africa’s greatest challenges and most exciting opportunities. By collaborating, growing and networking together in the ALX community space, members will maximize their impact as they shape the future of the continent. The first ALX Leadership Lab will launch in Nairobi to bring the ALX community to life. We offer unique Leadership Accelerators for Young Leaders and for Young Professionals in leadership roles, as well as high impact workshops and events.
JOB SUMMARY
Specific ResponsibilitiesLearner Supply & InstrumentationBuild a repeatable pipeline of beta learners, engaging the right internal teams to keep them flowing — the constraint that gates everything else, and it rewards hustle over process.Instrument the AI products in partnership with the LLMOps Engineer — you instrument; they build the evals over what is captured.The Experiment LoopOwn the experiment loop — a backlog of the team’s biggest uncertainties, experiments designed against them, cycle time measured and shrinking.Close the loop: data reviewed, UX and learning validation captured, improvements shipped, and the next PoC out the door.Skill
- EssentialProduct experimentation: you have run it end-to-end, hypothesis, instrumentation, decision. A/B testing or structured product testing on a live product.Technical fluency: you can talk concretely about instrumenting a product, read AI-eval results, and hold your own with engineers. You don’t need to code daily.Operator ability: recruiting and coordinating real users, running a beta programme, and wrangling stakeholders.Desirable (not required): hands-on eval or analytics skills; EdTech experience.Essential Traits for SuccessYou have a scientific mindset. You know what an experiment can and can’t conclude, and your favourite experiments include ones that killed an idea you loved.You’d enjoy the question “how would you get 50 beta learners in two weeks with no budget?” enough to start answering it in the interview.
REQUIRED SKILLS
Product development, Product knowledge, Customer service, Performance monitoring and evaluation, Product management, Software architecture
REQUIRED