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Owns: Technology strategy, data strategy , architecture, engineering execution, delivery predictability, platform reliability, security, developer productivity, tech org health
Reports to: CEO
Part of: Executive/Management Team
Location: Egypt (Alexandria)
Team: ~120 engineers (direct leadership via Engineering Leadership Team), plus IT leadership alignment
Role Purpose
The CTO ensures our clients platform is secure, scalable, reliable, and predictable , enabling product innovation without compromising quality or customer trust.
This role exists to restore execution reliability, reduce complexity, and build an engineering organization that can scale with confidence . The CTO is accountable for turning strategy into consistent delivery while modernizing the platform for long-term growth.
Key Responsibilities
1) Technology Vision & Architecture
· Define and own the long-term technical vision aligned with the product strategy.
· Drive architectural clarity across platform, integrations, data, and cloud foundations.
· Make clear, sequenced tradeoffs on modernization, build vs buy, and standardization.
· Define and execute future-looking innovation and AI
2) Engineering Execution & Predictability
· Establish a delivery system that is transparent, predictable, and accountable.
· Own delivery commitments and execution discipline across teams.
· Improve cycle time, throughput, and planning reliability without sacrificing quality.
· Provide clear executive-level visibility into progress, risks, and tradeoffs.
3) Reliability, Quality & Security
· Own platform availability, performance, and incident management.
· Ensure postmortems lead to systemic improvement, not just fixes.
· Embed security and compliance into the SDLC (security-by-design).
· Raise the quality bar across testing, release readiness, and operational hygiene.
4) Simplification & Complexity Reduction (ESA)
· Aggressively reduce architectural, process, and tooling complexity.
· Drive Eliminate – Standardize – Automate initiatives with measurable impact.
· Own a multi-year tech debt and modernization roadmap with clear ROI.
5) Tech Org Leadership & Talent
· Build and continuously upgrade a strong engineering leadership bench.
· Set a high hiring and promotion bar; address underperformance decisively.
· Develop leaders who own outcomes, not just output.
· Foster a culture of ownership, craftsmanship, transparency, and collaboration.
6) Business & Customer Alignment
· Ensure engineering teams understand customer impact and business priorities.
· Partner with Finance on cloud efficiency, cost of revenue, and margin improvement.
· Use reliability, defects, and incidents as learning inputs tied to customer outcomes.
· Pre-sales involvement with Enterprise clients
7) Product-Technology Partnership
· Own the “how” ; jointly own the “when” with the CPO.
· Participate in shared quarterly planning with explicit capacity allocation:
o Core roadmap
o Platform / tech debt
o Innovation / future bets
· Lead joint postmortems for missed commitments or major incidents.
KPIs (Primary)
Ideal Background
· 10+ years in senior engineering/technology leadership in SaaS environments
· Proven track record restoring delivery reliability and reducing complexity
· Strong architecture, reliability, and scaling experience
· Experience upgrading engineering leadership capability
· Hands-on enough to dive deep; senior enough to delegate effectively
· Calm, decisive operator with a strong GSD mentality
· Experience building and leading 80-200+ person (remote) engineering orgs
· Experience with Azure, Javascript, C#, Typescript preferred
What success looks like in year 1:
· Restore and maintain predictable delivery through disciplined planning, dependency management, and execution rigor. Accountable for delivery commitments and transparency to the executive team.
· Actively reduce architectural and process complexity that slows teams and increases risk.
· Upgrade leadership capability where required to meet scale demands.
· Ensure engineering teams understand customer impact, reliability expectations, and business priorities.”
· Define a clear vision and develop and execute a phased strategy for its implementation.
· Develop and execute a robust migration plan for legacy and customized customers
· Establish cross-team guidelines and best practices
· Integrate AI into core strategy and way of working – establish a dedicated data science team to lead AI initiatives
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