Solution Engineering Head

Solutions Engineering Head Job Description

Pre-Sales & Client Engagement

• Serve as the primary technical counterpart to B2B/B2G clients throughout the entire engagement lifecycle from initial discovery through production deployment and beyond.
• Conduct technical discovery and assessment sessions with clients to understand business requirements, data landscape, existing systems, integration constraints, and success criteria.
• Provide technical input for proposals, Statements of Work (SOWs), and RFP responses in collaboration with the business development team.
• Conduct technical feasibility assessments and effort estimation for new client engagements, balancing ambition with pragmatic delivery constraints.
• Translate complex technical concepts into clear, compelling language for non-technical stakeholders, senior management, and C-level executives through presentations, workshops, and status updates.
• Bridge the critical gap between pre-sales vision and engineering reality — ensuring what is delivered matches what was promised to clients.

Solution Architecture & Technical Design

• Own the end-to-end solution architecture for all client projects from initial discovery through production deployment and operational handover.
• Design comprehensive backend and system architectures, including service decomposition, data modeling, API contracts, integration patterns, security architecture, and infrastructure topology.
• Produce architecture diagrams, solution blueprints, technical proposals, and implementation plans that translate client business needs into actionable engineering roadmaps.
• Make pragmatic technology choices based on project requirements, timeline constraints, team capabilities, and client context, balancing innovation with practical delivery considerations.
• Oversee architecture decisions for customized solutions, ensuring they are scalable, maintainable, secure, and aligned with the company's core platform and technology standards.
• Define technical standards, architectural patterns, and quality guardrails for delivery projects to ensure consistency, security, and long-term maintainability.

Engineering Delivery Leadership

• Lead the end-to-end engineering delivery of customized solutions and client-specific products, ensuring projects are completed on time, within scope, to specification, and with the highest quality standards.
• Lead small, focused delivery teams of 3-10 engineers per engagement, often with shared or part-time resources across concurrent projects to deliver integrated, production-ready systems that meet client requirements.
• Define project technical milestones, identify and track delivery risks early, and drive resolution of technical blockers and architectural challenges.
• Establish and enforce code quality standards, testing practices, security requirements, and engineering best practices across all delivery projects.
• Review critical architecture decisions and code changes to maintain solution integrity, security posture, and alignment with client requirements.
• Monitor project health through delivery metrics, velocity tracking, risk assessments, and resource planning proactively identifying and mitigating risks before they impact delivery.
• Be hands-on when needed debug complex production issues, prototype critical features, review challenging code, and unblock the team with direct technical contribution.
• Operate effectively under resource constraints: prioritize ruthlessly, negotiate scope with clients pragmatically, and personally fill capability gaps when the team cannot cover all required skills.
• Coordinate effectively with Product, Data Science, and Platform Engineering teams to leverage existing capabilities, shared components, AI/ML models, and core platform features within customized client solutions.

Team Leadership & Development

• Build, manage, and develop a high-performing team of software engineers, providing technical direction, mentoring, career development support, and performance management.
• Foster a culture of engineering excellence, continuous learning, ownership, and customer focus within the solutions engineering team.
• Ensure high team performance, engagement, and retention by providing clear expectations, growth opportunities, constructive feedback, and recognition.
• Report to the CTO on delivery progress, team capacity, technical risks, resource requirements, and strategic technology needs contributing to broader technology strategy and organizational planning.

Education

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience demonstrating technical depth and leadership capability.

Experience

• 7+ years in software engineering with deep backend and distributed systems expertise, including at least 3 years in a technical leadership, engineering management, or solutions architecture role on client-facing delivery projects.
• Proven track record of designing system architectures and leading cross-functional teams to successfully implement them in production environments under real project constraints.
• Must be able to personally debug production issues, prototype solutions, and write production-quality code when required — this is not a delegation-only role
• Direct experience working with B2B or B2G clients in a consultative capacity: requirements gathering, technical discovery workshops, solution design sessions, technical presentations, stakeholder management, and executive communication.
• Experience leading cross-functional engineering teams (backend, data science, frontend, DevOps) to deliver integrated, production-grade solutions in consulting, professional services, or solutions engineering environments.
• Demonstrated ability to manage multiple concurrent client engagements, balance competing priorities, and deliver quality outcomes within timeline and budget constraints.

Technical Skills

• Strong proficiency in at least two of the following languages: Java/Kotlin, Python, Go, or TypeScript with demonstrated ability to make sound technology choices based on project context.
• Deep understanding of system design principles: service decomposition, distributed systems patterns, data modeling strategies, integration architectures, API design, scalability considerations, fault tolerance, and performance optimization.
• Strong API design expertise across multiple paradigms (RESTful, GraphQL, gRPC) and solid understanding of API governance, versioning, and documentation best practices.
• Hands-on experience with cloud platforms GCP strongly preferred (Compute Engine, Cloud Run, GKE, Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, managed services); AWS or Azure experience acceptable with willingness to learn GCP.
• Experience with both relational and NoSQL databases including Cloud SQL/PostgreSQL, Firestore, Cloud Spanner, BigQuery, and caching solutions like Redis/Memorystore.
• Solid understanding of containerization and orchestration technologies: Docker, Google Kubernetes Engine (GKE), Cloud Run, Kubernetes concepts, and container-based deployment patterns.
• Experience with CI/CD pipelines (GitHub Actions, Cloud Build, Jenkins) and Infrastructure-as-Code approaches using tools like Terraform or Cloud Deployment Manager.
• Strong understanding of security architecture principles: authentication mechanisms (OAuth, JWT, SAML), authorization patterns (RBAC, ABAC), Identity and Access Management (IAM), encryption strategies (at rest and in transit), and compliance considerations (GDPR, SOC 2, ISO 27001).
• Familiarity with AI/ML product delivery, data pipelines, model deployment, and ability to work effectively with data science and machine learning teams.
• Experience working in agile delivery environments with strong understanding of software development lifecycle management, sprint planning, and iterative delivery methodologies.
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor, or similar). Demonstrated ability to use AI tools for code review, prototyping, debugging, and accelerating delivery in lean teams.

Professional Skills

• Fluency in English and Arabic (reading, writing, speaking) essential for client communication, technical documentation, and team collaboration in regional markets.
• Excellent communication and presentation skills able to present confidently to C-level executives, write compelling technical proposals, facilitate solution design workshops, and lead client status meetings.
• Strong leadership and people management skills — able to align, motivate, and develop cross-functional engineering teams while maintaining high standards for delivery quality and engineering excellence.
• Comfortable operating in ambiguity client delivery projects come with shifting requirements, evolving priorities, and unexpected constraints; you must adapt gracefully without compromising quality or team morale.
• Strategic thinking combined with pragmatic execution — you balance long-term architectural quality, technical debt management, and platform consistency with short-term delivery needs and client urgency.
• Excellent project management and delivery skills with demonstrated ability to manage multiple concurrent client engagements, balance competing stakeholder priorities, and deliver on commitments.
• A proactive, ownership-driven mindset with passion for delivering high-quality solutions that create tangible client value and drive measurable business outcomes.
• Willingness to travel to client sites as needed for discovery workshops, architecture reviews, delivery kick-offs, and executive presentations.