AI Ops Lead for Financial Inclusion

AI Ops Lead for Financial Inclusion

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
M Kopa

At a Glance

  • Tasks: Lead the AI Ops team to build impactful automations for 2,500+ employees.
  • Company: Join a mission-driven company recognised globally for its influence and growth.
  • Benefits: Competitive salary, remote work options, and opportunities for professional development.
  • Other info: Be part of a carbon-negative company making a significant environmental impact.
  • Why this job: Make a real difference in financial inclusion while working with cutting-edge AI technology.
  • Qualifications: Experience in AI operations and strong leadership skills.

The predicted salary is between 70000 - 90000 £ per year.

Impact your automations and agents will directly improve how 2,300+ employees work across our global operations. We've already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster.

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 4 consecutive years (2022–2025).
  • 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 are carbon-negative, having displaced over 2 million tonnes of emissions.

What You'll Do

At M-KOPA, you'll lead the AI Ops 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 Software Engineering teams integrate AI into customer-facing products.

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 will 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 Software Engineering teams.

Technical Environment

AI

AI Ops Lead for Financial Inclusion employer: M Kopa

At M-KOPA, we pride ourselves on being a mission-driven employer that empowers our employees to make a tangible impact in the world of financial inclusion. With a dynamic work culture that fosters innovation and collaboration, you'll have the opportunity to lead a talented AI Ops team while contributing to our global recognition as one of Africa's fastest-growing companies. Our commitment to employee growth, coupled with our carbon-negative status, makes M-KOPA not just a workplace, but a community dedicated to meaningful change.

M Kopa

Contact Details:

M Kopa Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Ops Lead for Financial Inclusion

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at M-KOPA. A friendly chat can give you insider info and maybe even a referral.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI tools and automations. This will help you stand out during interviews.

Tip Number 3

Be ready to discuss real-world applications of your work. Think about how your past projects have made an impact, especially in financial inclusion or similar fields.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission.

We think you need these skills to ace AI Ops Lead for Financial Inclusion

Leadership Skills
Automation Development
AI Tools and Technologies
Prioritisation Framework Development
Team Management
Software Engineering Integration
Technical Consulting

Some tips for your application 🫡

Show Your Passion for Impact:When writing your application, let us see your enthusiasm for making a difference. Highlight how your skills can contribute to our mission of financial inclusion and improving the lives of everyday earners in Africa.

Tailor Your Experience:Make sure to customise your application to reflect the key responsibilities mentioned in the job description. Share specific examples of how you've led teams or built automations that align with what we're looking for.

Be Clear and Concise:We appreciate straightforward communication. Keep your application clear and to the point, focusing on your achievements and how they relate to the role. Avoid jargon unless it’s relevant to the position.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at M Kopa

Know Your Impact

Make sure you understand how your role as an AI Ops Lead will directly influence the operations of over 2,300 employees. Be ready to discuss specific examples of how your past work has improved processes or outcomes, especially in a mission-driven context.

Showcase Your Leadership Skills

Since you'll be leading a team of AI Ops Engineers, prepare to share your leadership philosophy. Think about how you've successfully managed teams in the past and be ready to discuss how you prioritise tasks and manage competing requests effectively.

Stay Ahead of AI Trends

Familiarise yourself with the latest AI tools and technologies relevant to financial inclusion. Be prepared to discuss which tools you believe are genuinely useful and how they can be integrated into existing systems to enhance productivity.

Emphasise Collaboration

Highlight your experience working with cross-functional teams, especially in integrating AI into customer-facing products. Discuss how you can act as an internal consultant and support Software Engineering teams in refining their AI training.