Pre-Sales Engineer – Solutions & Strategy / Functional Analyst

Role Overview

Serves as the primary link between customers and technical solutions, translating client business needs into functional and technical requirements. Ensures system solutions are aligned with organizational goals, supports solution design, testing, and implementation, and collaborates with internal and external stakeholders to optimize processes and enhance operational efficiency. Key Responsibilities

Engage with customers to analyze and document business needs, translating requirements into system and functional specifications aligned with AI and digital solution strategy. Support system design, technical feasibility studies, and PoC development, ensuring solutions are scalable, robust, and fit to customer needs. Deliver technical presentations and demonstrations to stakeholders, clearly communicating the value proposition and solution architecture. Collaborate with sales, product development, and engineering teams to tailor innovative solutions and proposals for complex business challenges. Lead the preparation of technical documentation, proposals, and cost estimates for RFP / RFI responses, ensuring compliance with organizational objectives. Act as a subject matter expert throughout the sales cycle, answering technical questions and addressing concerns or objections during the engagement phase. Support testing and implementation phases, providing input and feedback to optimize system integration and ensure operational efficiency. Build and maintain strong relationships with customers, acting as their trusted advisor for technology adoption and digital transformation. Contribute feedback to product management teams for ongoing development of AI-powered digital solutions. Required Skills & Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems or related technical field. Proven experience as a Presales Engineer, Functional Analyst, or Solutions Engineer within technology, SaaS, or AI companies. Strong analytical, communication, and presentation skills with the ability to simplify and articulate complex technical concepts to diverse audiences. Knowledge of AI / ML concepts, cloud platforms, digital transformation, and enterprise architectures. Experience in requirements analysis, solution design, testing, and implementation for enterprise clients. Collaborative, customer-centric, and results-driven mindset.

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