Presales Engineer

Role Overview

• Engage with prospective customers to understand their business needs, technical environments, and desired outcomes.
• Qualify early opportunities alongside the Sales team by assessing technical fit, feasibility, and strategic alignment.
• Translate customer requirements into technical and functional specifications aligned with nybl’s product suite.
• Lead product demos, proofs-of-concept, and technical presentations without requiring engineering support during early sales stages.
• Develop high-level solution designs, estimates (resources, effort, timelines), and associated implementation costs.
• Coordinate with Engineering teams to validate technical requirements for RFIs, proposals, and solution designs.
• Take full ownership of responding to PQQs, RFPs, RFIs, and tenders with clear, technically accurate submissions.
• Support Sales in the development of commercial proposals (as per nybl’s sales playbook and approval workflows).
• Create and present tailored solution proposals, ensuring alignment with commercial goals and client KPIs.
• Develop and maintain a repository of reusable pre-sales materials (compliance matrices, architectures, diagrams, FAQs, templates) to improve speed and consistency.
• Coordinate with the PMO to understand delivery resource availability and set realistic timeline expectations with clients.
• Serve as the primary technical contact throughout the pre-sales cycle, ensuring smooth handover to delivery after deal closure.
• Provide product and market feedback to Engineering and Product teams to influence roadmap direction.
• Maintain deep understanding of nybl’s AI/ML, analytics, automation, and industrial solutions and how they integrate into client architectures.
• Conduct competitor and market analysis to position nybl’s offerings effectively.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Science, or similar technical discipline.
• 5+ years’ experience in pre-sales, solution engineering, or technical consulting roles.
• Strong understanding of AI/ML, analytics, or industrial automation (experience in oil & gas, utilities, manufacturing, or enterprise AI is preferred).
• Proven ability to translate complex technical concepts into clear business value.
• Experience in creating solution architectures, technical documentation, and proposals.
• Excellent presentation, communication, and stakeholder management skills.
• Ability to operate independently across multiple opportunities and regions.
• Strong commercial awareness; comfortable discussing ROI, pricing structures, and general commercial models.
• Experience in AI SaaS, deep-tech, or industrial analytics companies.
• Exposure to SCADA, IoT, or predictive analytics systems.
• Arabic language skills are an advantage.
• Understanding of enterprise sales cycles and procurement processes.

Tech Stack

• IoT

Benefits

• Professional development
• Flexible working arrangements