Presales Consulting Manager
Your tasks
Solution strategy & technical leadership • Provide technical oversight and direction for complex and strategic enterprise AI opportunities. • Serve as a senior technical advisor throughout the pre-sales lifecycle, providing guidance to AI solution engineers and intervening in complex cases as needed. • Review and validate end-to-end AI solution architectures that align customer business objectives with Arabic.AI's capabilities. • Review and validate technical approaches that balance innovation, scalability, implementation feasibility, and commercial value.
Technical discovery & solution design • Supervise and provide oversight of technical discovery workshops to understand customer objectives, operational challenges, technical environments, and success criteria. • Review business process analysis and validate identified opportunities where AI technologies can deliver measurable value. • Review and validate solution architectures including AI components, data flows, APIs, integrations, deployment models, and operational considerations, particularly for complex cases.
Executive customer engagement • Provide technical oversight and support for technical presentations, demonstrations, workshops, and proof of concepts (PoCs) for enterprise customers, with direct involvement in complex or strategic opportunities as needed. • Provide guidance on presenting complex AI solutions in a clear, business-focused manner to executive and technical stakeholders. • Provide senior technical guidance on architectural, security, and implementation concerns to build customer confidence.
Solution validation & governance • Review and sign off on solution architectures to ensure technical soundness, scalability, security, compliance, and implementation readiness. • Review and validate technical deliverables including solution designs, architecture diagrams, integration documentation, implementation assumptions, effort estimates, and success criteria. • Ensure proposed solutions align with organizational standards, delivery capabilities, and enterprise architecture principles. • Identify and mitigate technical risks before solution approval and proposal submission.
Cross-functional collaboration • Provide technical alignment with AI, sales, product management, and engineering teams to develop customer-centric solutions. • Work closely with the head of AI to align pre-sales technical strategy, solution approaches, and priorities with the overall AI function strategy and business objectives. • Oversee seamless knowledge transfer from pre-sales to implementation teams. • Provide product teams with market insights and customer feedback to influence product roadmap and future capabilities. • Ensure technical solutions align with delivery methodologies to minimize implementation risks and scope changes.
Innovation & continuous improvement • Oversee the development of reusable reference architectures, proposal templates, demo environments, technical playbooks, and solution assets. • Drive improvements to pre-sales methodologies, documentation standards, and solution engineering processes. • Monitor emerging AI technologies, large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), cloud platforms, and enterprise integration trends. • Recommend new technical capabilities that enhance Arabic.AI's competitive positioning and customer value proposition.
Pre-sales team leadership & people management • Provide technical guidance and coaching to AI solution engineers and junior pre-sales team members. • Serve as the primary technical escalation point for the junior pre-sales team, including AI solution engineers, and independently address technical inquiries without routinely escalating to the broader technical team. • Review and validate solution designs, technical approaches, proposals, demonstrations, and customer-facing deliverables produced by the pre-sales team to ensure technical quality and consistency. • Set clear objectives, provide regular feedback, support capability development, and manage the performance and growth of direct reports. • Build a technically strong and collaborative pre-sales team by identifying capability gaps, facilitating knowledge sharing, and developing technical expertise across the function.
Requirements
• 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. • Demonstrated hands-on technical capability with the ability to understand, assess, and explain AI and enterprise technology architectures, including how AI components, data, APIs, integrations, cloud services, and deployment environments work together. • Strong technical judgment and the ability to provide effective technical guidance on complex inquiries, with the confidence to address technical matters independently and engage broader technical teams when required. • Self-starter and initiator with the ability to proactively identify technical requirements, investigate solutions, and drive technical workstreams forward with limited supervision. • Strong technical depth and credibility to operate effectively as a senior pre-sales professional across both AI solution design and broader enterprise technology architecture. • Proven experience designing enterprise AI solutions for medium to large organizations. • Strong understanding of artificial intelligence, machine learning, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, APIs, cloud services, and enterprise integrations. • Experience with enterprise architecture principles, security frameworks, and solution governance. • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. • Excellent presentation, communication, and stakeholder management skills. • Professional proficiency in English and Arabic, both written and spoken.