Pre-Sales Engineer at ChapsVision assisting in AI and data solutions to enhance client experiences. Working closely with sales and technical teams to demonstrate product value and drive adoption.
Responsibilities
Engage with prospects to gather technical and business requirements during discovery sessions.
Configure and customize the product - including AI/NLP models, data connectors, and Generative AI workflows - to align with customer requirements and maximize business value.
Adapt and extend the out-of-the-box user experience (UX/UI) to meet specific project needs.
Configure and present tailored demos and proof-of-concepts that showcase the value of our technology and reflect prospective use cases.
Advise prospects on best practices for enterprise search, AI usage, and data access strategies.
Serve as a subject matter expert on Sinequa’s product, security standards and integration capabilities.
Articulate technical benefits and capabilities of the product in alignment with customer use cases.
Understand and interpret customer data environments (on-prem and cloud) to ensure seamless integration and adequate enrichment of content.
Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders, from engineers to C-level executives.
Lead technical workshops and Q&A sessions to educate clients and deepen their understanding of the product.
Lead technical pre-sales activities such as product demos and proof-of-concept (POC) cycles, tailored to customer industries and use cases.
Act as a trusted advisor throughout the technical evaluation process.
Partner with Sales Managers to support complex, multi-stakeholder deal cycles, including technical discovery, solution design, and executive-level presentations.
Collaborate closely with Customer Success and Operations teams to ensure successful deployments, meet SLAs, and deliver continuous value.
Manage multiple active opportunities at various stages of the sales cycle. Adapting to customer needs and fast-changing technical environments.
Requirements
Bachelor’s or Master’s Degree from an accredited institution in a technical field (CS/IS/IT, Engineering)
5+ years of experience in an engineering / technical role
Experience in a client facing role (internal or external customers) or strong desire to work closely with customers.
Strong collaboration skills, with an understanding of the importance of timely and effective problem-solving.
Excellent oral and written communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
Ability to work in a fast paced, team environment.
Technical curiosity and a hands-on mindset – Excitement for new technologies and understanding how things work under the hood.
Ability to understand and troubleshoot code written in Angular and at least one backend language (e.g., C#, Java, or C++).
Proficiency in SQL/NoSQL Databases.
Comfortable navigating and understanding systems within the Microsoft ecosystem, including Windows and Azure Cloud Services.
Bonus Points
Experience with search engines, relevancy tuning, or large-scale indexing
Familiarity with Generative AI tools, prompt engineering, or RAG (Retrieval-Augmented Generation)
Background in legal, private equity, M&A or consulting is a plus
Experience configuring or demonstrating AI Assistant functionality
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