Pre-Sales Engineer at EdgeTier leveraging AI technology in customer service to create tailored solutions with exceptional team collaboration. Driving successful client connections and solution demonstrations.
Responsibilities
Lead technical discovery with prospects to uncover pain points, data structures, and operational processes in customer service environments
Design and deliver tailored demonstrations of EdgeTier’s products that address customer-specific needs, using real-world data and relevant use cases
Translate business challenges into technical solutions leveraging EdgeTier’s platform capabilities — including APIs, AI models, dashboards, and analytics workflows
Respond to RFPs and security/compliance questionnaires, working with internal experts to provide architecture diagrams, data flow documentation, and security overviews (EdgeTier is ISO 27001 certified)
Collaborate cross-functionally with Sales, Product, and Engineering teams to ensure solution feasibility and influence product direction based on customer feedback
Act as a technical thought leader, educating customers on AI in customer service, data-driven QA, and operational analytics
Contribute to pre-sales assets such as slide decks, ROI models, demo environments, and competitive positioning guides
Ensure smooth post-sale handover by providing documentation and technical context to Implementation and Customer Success teams
Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline (or equivalent practical experience)
Ideally 4–6 years of experience in a Sales Engineering or Solution Consulting role or Pre-Sales for a SaaS company
Demonstrated success in technical pre-sales, POCs, and data integrations for enterprise clients
Strong understanding of API integrations, SaaS platforms, and customer service technologies (e.g., Zendesk, Salesforce, Intercom, Freshdesk)
(nice to have) Experience working with data analytics tools (e.g., SQL, Python, BI dashboards) and data transformation concepts (ETL, pipelines)
Excellent presentation and storytelling skills — able to communicate complex concepts to both technical and business audiences
Strong Customer experience knowledge
Deep customer empathy and ability to connect technical functionality with business outcomes
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