Uniphore

Compensation

Full Description

Job Description: • Act as the technical lead in the sales cycle, partnering with Account Executives to drive enterprise opportunities from qualification to close • Have a perspective on how AI can drive value in Enterprises and understand the power of language models and agents to impact business value across verticals and business functions • Understand customer pain points in driving and implementing AI solutions • Deliver compelling technical presentations, demos showcasing GenAI, Agentic AI, RAG, and LLM-based solutions • Build and deliver custom demos and POCs to validate business value and technical feasibility • Conduct discovery sessions with key business and technical stakeholders to uncover needs, pain points, and desired outcomes • Translate business requirements into AI solution architectures that leverage Uniphore’s capabilities, collaborating with product and engineering teams • Respond to RFPs/RFIs with detailed technical responses and solution designs • Advise clients on AI adoption strategies, integration with multi-modal data platforms, and industry best practices • Contribute to a culture of technical excellence, customer obsession, and innovation • Build and maintain deep domain expertise in AI trends, competitor offerings, and the evolving landscape of agentic applications and enterprise AI adoption Requirements: • 6+ years of experience in pre-sales, solution engineering, or technical consulting – preferably within enterprise SaaS, AI, or automation platforms • Hands-on understanding of AI concepts: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, Agentic AI architectures, AI security and governance, and ethical AI • Experience designing or selling AI platforms, data orchestration, or enterprise automation solutions • Expertise in major Cloud Platforms: Demonstrated understanding of cloud computing principles and architecture, particularly as they relate to deploying and scaling enterprise AI/SaaS solutions (e.g., AWS, Azure, or GCP) • Solid Understanding of API Integration and Security: Practical experience with designing, integrating, and securing API connections between AI platforms and underlying business applications (e.g., CRM, ERP, data warehouses) • Knowledge of protocols (e.g., REST, GraphQL) and authentication mechanisms (e.g., OAuth 2.0, API keys) is essential • Data and Network Architecture Acumen: Ability to discuss and propose solutions regarding data governance, network segmentation, and enterprise security requirements when deploying cloud-native or hybrid AI solutions • Strong ability to explain technical concepts to both technical and non-technical stakeholders • Proven track record supporting enterprise sales cycles and closing large deals • Excellent communication, presentation, and stakeholder management skills with the ability to engage with all levels within large enterprises, from C-suite to technician • Strong problem-solving and storytelling skills—able to connect AI capabilities to strategic business outcomes • Ability to travel as needed for client engagements Benefits: • medical, dental, vision • 401(k) with a match • generous paid time off • paid holidays • paid day off for your birthday • other paid leave policies to support employees through all phases of life