M-KOPA is seeking a Software Engineering Team Lead to guide the development of critical infrastructure that powers financial inclusion across Africa. In this fully remote role, you'll manage the delivery of our loan origination architecture and ensure exceptional software quality while mentoring a team of engineers. You will work closely with product management, using your expertise in C#/.NET and cloud technologies to set architectural direction and drive project success. Join us in transforming the landscape of financing!
05/06/2026
Full time
M-KOPA is seeking a Software Engineering Team Lead to guide the development of critical infrastructure that powers financial inclusion across Africa. In this fully remote role, you'll manage the delivery of our loan origination architecture and ensure exceptional software quality while mentoring a team of engineers. You will work closely with product management, using your expertise in C#/.NET and cloud technologies to set architectural direction and drive project success. Join us in transforming the landscape of financing!
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 () 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 & 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 Approach 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 mind. 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 Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family-friendly policies and flexible working arrangements Well-being support and career growth opportunities Mission We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities. Impact Connected: 2.5 million first-time smartphone users connected Prosperous: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents Green: 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion? Apply now to contribute to inclusive technology at scale. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect or charge any money as a pre employment or post employment requirement. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre employment background checks as part of its recruitment process, including criminal records, identification verification, academic qualifications, employment dates and employer references. Visit for more information.
02/06/2026
Full time
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 () 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 & 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 Approach 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 mind. 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 Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family-friendly policies and flexible working arrangements Well-being support and career growth opportunities Mission We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities. Impact Connected: 2.5 million first-time smartphone users connected Prosperous: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents Green: 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion? Apply now to contribute to inclusive technology at scale. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect or charge any money as a pre employment or post employment requirement. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre employment background checks as part of its recruitment process, including criminal records, identification verification, academic qualifications, employment dates and employer references. Visit for more information.
A leading financial technology company is seeking a Data Scientist to build and refine predictive models that shape loan eligibility and pricing strategy. You will collaborate with teams across multiple countries and engage in various ML models focusing on credit scoring and risk assessment, aiming to enhance financial access for underserved customers. This role is fully remote, with a strong emphasis on professional development and well-being support.
17/05/2026
Full time
A leading financial technology company is seeking a Data Scientist to build and refine predictive models that shape loan eligibility and pricing strategy. You will collaborate with teams across multiple countries and engage in various ML models focusing on credit scoring and risk assessment, aiming to enhance financial access for underserved customers. This role is fully remote, with a strong emphasis on professional development and well-being support.
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending 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 () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
17/05/2026
Full time
We're looking for a Data Scientist who loves building predictive models and solving ambiguous data problems. You'll own the models that shape loan eligibility and pricing across 5 African markets. This is a small team with big responsibility, where your work directly shapes lending strategy for millions of customers. Impact Your models will directly shape how millions of underserved customers access credit for the first time. We've already helped over 7 million customers access over $2 billion in credit - and we process over 1.5 million payments daily. It's your chance to be part of something that's literally transforming lives across an entire continent Opportunity Mission-driven data science: Build credit scoring and pricing models that expand financial access for customers traditionally excluded from formal lending 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 () Scale challenges: Work with rich repayment datasets across 5 African markets, developing ML models that balance growth with credit risk at scale Environmental impact: We're carbon-negative, having displaced over 2.1 million tonnes of emissions What You'll Do At M KOPA, you'll build and refine the predictive models that power our lending strategy. You'll sit within a small, high performing team with end to end ownership of credit scoring, loan eligibility, and pricing optimisation - working cross functionally with engineers, analysts, growth managers, and commercial stakeholders across multiple countries. Join us in combining cutting edge data science with purpose driven work that makes digital and financial inclusion possible across Africa. Day to day, you'll be: Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact Collaborating cross functionally with engineers, data scientists, and commercial stakeholders to scale models into production Technical Environment Languages & Libraries: Python, SQL, scikit learn, pandas, numpy, and relevant ML libraries Techniques: Predictive modelling, classification/regression, feature engineering, model selection, hyperparameter tuning, A/B testing Domain: Credit scoring, underwriting, loan pricing, risk analytics Our Team Approach Low ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact High degree of ownership over your domain - you're empowered to make data driven decisions and prioritise solutions Cross functional collaboration with engineering, product, and commercial teams across multiple countries Analytical rigour combined with deep market understanding to serve customers excluded from formal financial services What You Need Credit accessibility and affordability are at the core of this role. You'll join a small, high performing team where every day brings new modelling challenges and analyses that shape our lending strategy. If building models that can transform financial access for millions of African customers excites you, we'd love to hear from you. Required Experience Experience building predictive models, particularly credit scoring, risk models, or similar classification/regression problems ML background with hands on experience in model development, validation, deployment, and performance monitoring Proficiency in Python, SQL, and relevant ML libraries (scikit learn, pandas, numpy, etc.) with experience in feature engineering, model selection, and hyperparameter tuning Experience translating complex model outputs into actionable business strategies and stakeholder communications Ability to work cross functionally with product, engineering, and commercial teams Strong data communication skills - written, oral, and visual Highly Desirable Experience in credit, underwriting, lending analytics, or fintech modelling Location & Benefits Fully remote role within UTC -1 to UTC +3 time zones Work with diverse teams across UK, Europe, and Africa Professional development programmes and coaching partnerships Family friendly policies and flexible working arrangements Well being support and career growth opportunities Our Mission We make financing for everyday essentials accessible to everyone. We strive to drive greater inclusion of women, youth, and low income communities. Our Impact Our technology has created measurable change: Connected : 2.5 million first time smartphone users connected Prosperous : 70% of customers use M KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided Ready to build models that create real world financial inclusion while advancing your career in data science? Apply now. Why M KOPA? At M KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on the job training. We support individual journeys with family friendly policies, prioritise well being, and embrace flexibility. Join us in shaping the future of M KOPA as we grow together. Explore more at Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we've served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M KOPA shall ensure that its employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M KOPA does not collect or charge any money as a pre employment or post employment requirement. This means we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M KOPA undertakes pre employment background checks as part of its recruitment process, these include criminal records, identification verification, academic qualifications, employment dates and employer references.
About the Role Lead AI Automation Engineer - lead the AI Ops team from day one, owning delivery, growing the function and proving its value. You will build and ship automations and AI agents for internal use and serve as internal consultants to software engineering teams. Impact Your automations and agents will improve the work of 2,300+ employees across global operations and help M KOPA serve over 7 million customers who have accessed more than $2 billion in credit. The tools you build will accelerate the mission of financial inclusion across Africa. Key Responsibilities Lead two AI Ops Engineers - own their delivery, development, and day to day work. Prioritise efficiently - manage competing requests from multiple teams with a clear prioritisation framework. Build and ship automations and agents that measurably improve internal and customer facing workflows. Maintain a healthy AI tooling stack as usage scales across 2,500+ employees. Stay current on emerging AI tools and technologies, distinguishing hype from practical value. Improve AI training for the wider organisation, including software engineering teams. Technical Environment AI & Agentic Frameworks - Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK. Automation & Prototyping - scripting, workflow tools, AI assisted development, rapid prototyping on Vercel/Railway. Enterprise Tooling - identity automation (Entra), internal platforms, Notion, HiBob integrations. Existing Foundation - 12 months of Claude, Notion, HiBob, and Entra automations already running in production. Approach Build, don't just advise - ship working automations and agents. Prove the value, then expand - begin with two engineers and demonstrate impact before scaling. Product focused mindset - treat internal teams as customers and build tooling that works. Cut through the hype - evaluate tools on practical value, not marketing buzz. What You Need We're looking for an individual with a strong technical background and product focus. You will ship automations, lead a small team, and help M KOPA's internal operations become 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 - have led or mentored engineers and can own a team's delivery and development. Location & Benefits Fully remote within UTC -1 to UTC +3 time zones. Work with diverse teams across UK, Europe, and Africa. Professional development programmes and coaching partnerships. Family friendly policies and flexible working arrangements. Well being support and career growth opportunities. Mission We create financial inclusion for the traditionally excluded through a fair, flexible, customer centric financing model, striving to drive greater inclusion of women, youth, and low income communities. Impact Connected - 2.5 million first time smartphone users connected. Prosperous - 70% of customers use M KOPA products for income generation, with 35,000+ livelihoods created for agents. Green - 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided. Equal Opportunity Employment M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily. M KOPA does not collect or charge any money as a pre employment or post employment requirement.
17/05/2026
Full time
About the Role Lead AI Automation Engineer - lead the AI Ops team from day one, owning delivery, growing the function and proving its value. You will build and ship automations and AI agents for internal use and serve as internal consultants to software engineering teams. Impact Your automations and agents will improve the work of 2,300+ employees across global operations and help M KOPA serve over 7 million customers who have accessed more than $2 billion in credit. The tools you build will accelerate the mission of financial inclusion across Africa. Key Responsibilities Lead two AI Ops Engineers - own their delivery, development, and day to day work. Prioritise efficiently - manage competing requests from multiple teams with a clear prioritisation framework. Build and ship automations and agents that measurably improve internal and customer facing workflows. Maintain a healthy AI tooling stack as usage scales across 2,500+ employees. Stay current on emerging AI tools and technologies, distinguishing hype from practical value. Improve AI training for the wider organisation, including software engineering teams. Technical Environment AI & Agentic Frameworks - Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK. Automation & Prototyping - scripting, workflow tools, AI assisted development, rapid prototyping on Vercel/Railway. Enterprise Tooling - identity automation (Entra), internal platforms, Notion, HiBob integrations. Existing Foundation - 12 months of Claude, Notion, HiBob, and Entra automations already running in production. Approach Build, don't just advise - ship working automations and agents. Prove the value, then expand - begin with two engineers and demonstrate impact before scaling. Product focused mindset - treat internal teams as customers and build tooling that works. Cut through the hype - evaluate tools on practical value, not marketing buzz. What You Need We're looking for an individual with a strong technical background and product focus. You will ship automations, lead a small team, and help M KOPA's internal operations become 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 - have led or mentored engineers and can own a team's delivery and development. Location & Benefits Fully remote within UTC -1 to UTC +3 time zones. Work with diverse teams across UK, Europe, and Africa. Professional development programmes and coaching partnerships. Family friendly policies and flexible working arrangements. Well being support and career growth opportunities. Mission We create financial inclusion for the traditionally excluded through a fair, flexible, customer centric financing model, striving to drive greater inclusion of women, youth, and low income communities. Impact Connected - 2.5 million first time smartphone users connected. Prosperous - 70% of customers use M KOPA products for income generation, with 35,000+ livelihoods created for agents. Green - 2.1 million tonnes of CO avoided through clean energy products, with over 127,700 circular economy products provided. Equal Opportunity Employment M KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M KOPA explicitly prohibits the use of forced or child labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily. M KOPA does not collect or charge any money as a pre employment or post employment requirement.