AIOps Lead at M-KOPA

About the job

• We're hiring our first AIOps Lead to lead a team that designs, ships, and scales automations and AI agents across M-KOPA.
• This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes.

The Impact

• Your production-grade automations and agents will directly improve how 2,300+ employees work across our global operations.
• We've already helped over 10 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster. It's your chance to be part of something that's literally transforming lives across an entire continent.

The Opportunity

• Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa's Every Day Earners
• Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 5 consecutive years (2022–2026)
• Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can't scale by hiring forever need intelligent tooling that actually works
• Environmental impact: We're carbon-negative, having displaced over 2 million tonnes of emissions.

Your key responsibilities

• Lead three 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
• Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work
• Build RAG pipelines for internal knowledge retrieval that ground agents in real organisational context
• 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 Software Engineering teams.

Technical Environment:

• AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, 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, Claude Code, Notion, HiBob, and Entra automations already running in production — you're building on proven foundations, not starting from zero.