# Technical Product Manager Job ALX Nairobi, Kenya

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Company: ALX Nairobi, Kenya

Category: Sales

Location: Kenya

Work type: Full-time

Work arrangement: On-site

Published: 2026-08-04

Expires: 2026-09-18

## Job Description

Role Summary

- Project A is ALX’s 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’s 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 — 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.

### Specific Responsibilities

Learner Supply & Instrumentation

- Build 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 Loop

- Own 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 Requirements – Essential

- Product 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 Success

- You 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.

### How to Apply

Click Here to Apply

## Apply

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