Senior Engineering Manager

Location: Abuja, Nigeria
Job Type: Full-time

Role Summary

• We rely heavily on AI across software design, development, testing, and delivery. We are looking for a Senior Engineering Manager who can lead multiple teams, develop engineering leaders, and turn AI-assisted development into a reliable, scalable engineering capability.
• You will remain technically engaged and accountable for the quality and business impact of what your teams ship.

Key Responsibilities

• Own delivery, technical quality, and operational readiness across multiple engineering teams; translate business priorities into clear plans and measurable outcomes.
• Lead and coach engineering managers and senior engineers. Build a culture of clarity, constructive feedback, collaboration, and sustainable performance.
• Define how teams use AI agents throughout the development lifecycle, including planning, implementation, code review, testing, and documentation.
• Establish reusable agent workflows, shared context, and automated quality gates that improve delivery across teams.
• Guide architecture and cross-team decisions; challenge generated solutions on correctness, security, scalability, maintainability, and cost.
• Partner with Product, QA, Security, and DevOps to resolve dependencies and ensure releases are validated through real user journeys.
• Own hiring, organizational capability, and engineering performance. Measure AI impact through delivery quality, lead time, reliability, and cost.

Requirements

• Typically 10+ years in software engineering and 4+ years in engineering leadership, including responsibility for multiple teams or developing engineering managers; equivalent demonstrated impact is welcome.
• Strong technical judgment across application architecture, APIs, databases, cloud infrastructure, automated testing, and production operations.
• Demonstrated experience embedding AI coding tools and agents into team workflows, with concrete examples of measurable improvements.
• Ability to design review and validation controls for AI-generated changes, including human accountability, data protection, and appropriate agent permissions.
• A record of developing leaders, communicating priorities clearly, listening to teams, and delivering complex initiatives across functions.

Nice to have:

• Experience in fintech or other regulated environments; agent orchestration, evaluation frameworks, shared context systems, or internal developer platforms.

What success looks like:

• Multiple teams deliver predictably with fewer escaped defects; managers and engineers grow in capability; AI workflows demonstrate measurable gains without weakening reliability, security, or ownership.

How to apply: apply