M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
We are recruiting to fill the position below:
Job Title: AI Operations Lead
Location: Lagos
What You’ll Do
- At M-KOPA, you’ll lead the AI Operations team from day one – owning delivery, growing the function, and proving the value.
- Your team builds automations and agents for internal use and serves as internal consultants, helping Engineering integrate AI into customer-facing products.
- Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.
Responsibilities
Your key responsibilities:
- Lead two AI Ops Engineers — own their delivery, development, and day-to-day work
- Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you’ll help develop and improve
- Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work
- Keep the AI tooling stack healthy as usage scales across 2,500+ employees
- Stay current on emerging AI tools and technologies – know what’s hype and what’s actually useful
- Help refine AI training for the wider organisation, including Engineering teams.
Technical Environment:
- AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)
- Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)
- Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations
- Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production.
Our Approac:
- Build, don’t just advise — this is a hands-on team that ships working automations and agents
- Prove the value, then expand — start with two engineers, demonstrate impact, grow from there
- Product-focused mindset — treat internal teams as customers and build tooling that works
- Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz.
What You Need
- We’re looking for someone with a strong technical background and product-focused.
- You won’t be building models – we have Data Science teams for that.
- You’ll be building agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.
Required Experience:
- Hands-on experience building automations — scripting, workflow tools, or AI-assisted development
- Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar
- Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms
- People leadership experience — you’ve led or mentored engineers and can own a team’s delivery and development.
Why This Role?
- This is a brand new team within the business, reporting to the Director of Security.
- The tech stack is proven – twelve months of Claude, Notion, HiBob, and Entra automations already running.
- The team structure is what’s new.
- That’s yours to shape. You’ll start with two engineers. Prove the value. Expand from there.
- The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can’t scale by hiring forever. Customer-facing staff who need tools that actually work.
- M-KOPA provides affordable financial and digital products to underserved communities across Africa – unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don’t just save time internally – they help that mission reach more people.
Application Closing Date
Not Specified.