M-KOPA Is Hiring an AI Operations Lead: Remote, Africa

M-KOPA is standing up its first dedicated AI operations team and needs someone to run it. The AI Operations Lead will manage two engineers, own the delivery of internal automations and AI agents, and shape what this function becomes as M-KOPA scales across Africa.

The stack is already live. Twelve months of Claude, Notion, HiBob, and Entra automations are running in production. The infrastructure exists; this hire’s job is to take what’s working and push it further.

What the Role Involves

The team operates on two tracks. One: build and ship automations and agents that change how internal staff work across M-KOPA’s global operations. Two: Serve as internal consultants helping engineering integrate AI into customer-facing products.

Day-to-day responsibilities include:

• Managing two AI Ops engineers: owning their delivery, output, and development.
• Building a prioritisation framework to handle competing requests from multiple internal teams.
• Shipping automations and agents that produce measurable improvements for staff and customer-facing teams.
• Maintaining the AI tooling stack as usage scales across thousands of employees.
• Evaluating new AI tools on practical merit, identifying what solves real problems, and discarding what does not.
• Supporting AI training programmes for the wider organisation, including engineering teams.

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Technical Environment

The team works across the following:

• AI and agentic frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK
• Automation and prototyping: Scripting, workflow tools, AI-assisted development, Vercel, Railway
• Enterprise tooling: Microsoft Entra (identity automation), Notion, HiBob

Hands-on familiarity with at least one agentic framework is required. Breadth across the enterprise tooling stack is a genuine advantage.

What They Want

This team builds and ships; it does not advise. Model-building sits with separate data science teams. M-KOPA wants someone who writes working automations and leads engineers doing the same.

Must Have:

• Hands-on automation experience, scripting, workflow tools, or AI-assisted development in production
• Practical experience with agentic frameworks, such as LangChain, MCP, Google ADK, or equivalent
• Background with enterprise tooling, Entra, rapid prototyping platforms, or comparable internal systems
• People leadership: you have led or mentored engineers and can own a team’s delivery.

Nice to Have:

• Fintech or high-growth operations context
• Familiarity with Notion and HiBob integrations specifically
• Experience building tooling for non-technical internal users

Salary and Benefits

No salary figure appears anywhere in the official listing.

Benefits listed include professional development programmes, coaching partnerships, family-friendly policies, flexible working arrangements, and well-being support. No figures or specifics are provided.

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Is This Open to Nigerians?

Yes, explicitly. Lagos is one of seven named cities in the job listing. Nigeria operates on WAT (UTC+1), which sits inside the stated UTC -1 to UTC +3 timezone band. This is a remote role with no relocation required.

Nigerian applicants should verify payment method availability with M-KOPA at the offer stage, as the listing does not specify how international payroll is handled.

How to Apply

1. Visit the official M-KOPA application page on Ashby.
2. Prepare a resume that highlights hands-on automation and agentic framework experience, not theoretical or advisory work.
3. Be specific about tools: name the frameworks you have shipped production automations with
4. Applications are reviewed on a rolling basis; there is no batch intake. Apply as soon as you are ready.
5. Shortlisting and interviews run concurrently with the open window; you may be contacted while the role is still listed.
6. A successful offer triggers a pre-employment background check covering criminal records, ID verification, academic qualifications, employment history, and references.
7. M-KOPA charges no fees at any stage. No recruitment fee, processing fee, or interview fee is ever requested.

About M-KOPA

M-KOPA provides affordable financial and digital products to underserved communities across Africa, including smartphones, credit, and insurance for people who have historically had no access to conventional banking.

The Financial Times has named M-KOPA one of Africa’s fastest-growing companies in each of the four years from 2022 to 2025. TIME named it one of the world’s 100 most influential companies in both 2023 and 2024.

Operations span Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. The total staff sits at 2,300 to 2,500 employees in different sections.

GizPulse Verdict

Most “AI Lead” roles at this level are strategy positions: decks, frameworks, and recommendations are handed to engineers who do the actual building. This one is structured differently. You manage two engineers, you own delivery, and your output is measured in working automations, not advisory documents.

That structure cuts both ways. You have real authority over a small, focused team. You also carry full accountability for what ships. Proving value quickly matters; the role is explicitly framed as “prove the value, then expand.” Early wins will determine whether this team grows.

The reporting line is worth asking about directly. An AI operations lead reporting to the director of security is an unusual configuration. It signals that M-KOPA currently frames AI ops primarily through an internal systems lens rather than a product lens. That may shift — or it may not. Either way, understand it before you accept.

The mission is genuine. M-KOPA’s financial inclusion work has observable scale across East and West Africa. For a Nigerian or African applicant who wants to build AI systems with direct continental impact, not adapted from a Western product, this is a rare match.

Who this is perfect for: A technical lead with two-plus years of hands-on automation and agentic framework experience who wants to build a function from the ground up inside a mission-driven African fintech.

Who should think carefully: Candidates who want a larger team immediately, a published salary before applying, or a product-side reporting line.

One tip to stand out: Name your production automations precisely in your application, the framework, the use case, the outcome, and the scale. “Built LangChain agents” tells the hiring team nothing. “Built a LangChain agent that automated onboarding document processing for 200 employees, cutting processing time by 60%” tells them everything.

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