Technical Product Manager
ALX Africa
Education · 51-200 employees
About the role
The role involves managing the experimentation loop for an AI learning platform by instrumenting products, sourcing beta learners, and analyzing data to drive improvements. You will be responsible for reducing uncertainty through rapid testing and ensuring both UX and learning outcomes are validated.
What they look for
Requirements
Candidates must have end-to-end product experimentation experience and technical fluency to collaborate with engineers on AI product instrumentation. Strong operational skills in recruiting users and managing beta programs are essential for success in this role.
Full description
About ALX Africa
ALX Africa, a non-profit organisation under the ALX Foundation, is dedicated to unlocking the potential of Africa's digital future. Formerly part of Sand Tech Holdings, we've embarked on an independent journey to provide world-class tech skills training and career acceleration programmes. Our mission is to bridge the digital divide, upskill and re-skill talent, and create a generation of innovative leaders. By 2030, we aim to empower 2 million Africans to secure sustainable tech careers.
With hubs in 8 cities across Africa and counting, we provide safe access to quality learning and a dedicated network of expert instructors. Our innovative programmes equip learners with the practical skills and knowledge needed to succeed in today's rapidly evolving tech industry. Through a combination of rigorous coursework, industry partnerships, and hands-on projects, we prepare our students for in-demand roles in software engineering, data science, and cybersecurity.
We achieve this by:
- Providing young professionals with access to the most in-demand tech skills that will power the future.
- Empowering the next generation of technology innovators, entrepreneurs, and business leaders through challenging, real-world coursework.
- Building a lifelong, impactful community of tech professionals that support them at all stages of their career journey.
Our impact thus far:
- 347k+ graduates since 2020
- 257k youth in work
- 31k youth starting own ventures
- 60k youth in jobs created by entrepreneurs
Visit our website www.alxafrica.com to learn more about our digital revolution.
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.
Person Specification/Attributes
- Courage: Willingness to speak up, challenge the status quo, and embrace new challenges.
- Humility: Openness to learning, seeking help when needed, and a focus on serving others.
- Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey.
- Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond.
- Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger.
Employment Type
This role is a full-time position.
Preferred Time Zones
The preferred time zones are GMT+2.
Due to the considerable amount of virtual working and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential. As an employee, you will be encouraged to continually develop your capability & attain certifications to reflect your growth as an individual.
