Presales Consulting Manager

Role overview

Solution strategy and design

• Guide complex and strategic enterprise AI opportunities and advise AI Solution Engineers throughout pre-sales.
• Review end-to-end architectures and technical approaches for customer objectives, scalability, feasibility, and commercial value.
• Oversee discovery workshops, business process analysis, and validation of opportunities for measurable AI value.
• Review architectures covering AI components, data flows, APIs, integrations, deployment models, and operations.

Customer engagement and governance

• Support technical presentations, demonstrations, workshops, and proofs of concept for enterprise customers.
• Guide clear, business-focused communication of complex solutions to executive and technical stakeholders.
• Review and sign off on architectures and deliverables for technical soundness, scalability, security, compliance, and readiness.
• Identify technical risks before solution approval and proposal submission.

Collaboration and improvement

• Align with AI, Sales, Product Management, Engineering, Delivery, and the Head of AI on solutions and priorities.
• Oversee knowledge transfer to implementation teams and provide customer insights to Product teams.
• Develop reusable architectures, proposal templates, demo environments, playbooks, and solution assets; improve pre-sales processes.
• Monitor AI, LLM, Agentic AI, RAG, cloud, and enterprise integration trends; recommend capabilities that improve customer value.

Team leadership

• Coach AI Solution Engineers and junior pre-sales team members, and serve as the primary technical escalation point.
• Review team solution designs, approaches, proposals, demonstrations, and customer-facing deliverables.
• Set objectives, provide feedback, manage direct reports’ performance and growth, and build team capability.

Education and experience

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical discipline.
• Approximately 8 years of experience in Solution Engineering, Solution Architecture, Technical Consulting, AI Engineering, or Enterprise Technology Consulting.
• Proven experience designing enterprise AI solutions for medium to large organizations.

Technical qualifications

• Hands-on ability to assess and explain AI and enterprise architectures, including AI components, data, APIs, integrations, cloud services, and deployment environments.
• Strong understanding of AI, machine learning, generative AI, LLMs, RAG, Agentic AI, APIs, cloud services, and enterprise integrations.
• Experience with enterprise architecture principles, security frameworks, and solution governance.
• Strong technical judgment, analytical and problem-solving skills, and ability to drive technical work independently.

Communication

• Excellent presentation, communication, and stakeholder management skills.
• Professional proficiency in written and spoken English and Arabic.