Soar is building an AI-native home-financing platform for Saudi Arabia, and the AI-driven engineering system that builds it. Our product spans origination, credit decisioning, loan management, collections and investor products, all under SAMA regulation.

About The Role
Soar is building an AI-native home-financing platform for Saudi Arabia, and the AI-driven engineering system that builds it. Our product spans origination, credit decisioning, loan management, collections and investor products, all under SAMA regulation.
If that sounds like where engineering is going, you'll fit here.
Engineers own the spec, the context, the tests and the review. DevOps doesn't hand-manage servers either.
Context engineering is the core skill. Requirements, DevOps, PM and self-testing agents run on our MCP/A2A framework to automate the SDLC end to end.
Full stack by default. AI closes skill gaps, so engineers work across backend, frontend and infrastructure, with cross-domain reviewers.
KSA data residency shapes which models and tools we use and where they run.
What every role here needs: you already use AI coding agents (Claude Code, Cursor, Codex or similar) as your main way of working, not as autocomplete. Role SummaryWe 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; 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.
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.
RequirementsTypically 10+ years in software engineering and 4+ years in engineering leadership, including responsibility for multiple teams or developing engineering managers; 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.

📌 Engineering Manager (España)
🏢 Soar
📍 España