Senior Sales Engineer

October 28

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Logo of Uniphore

Uniphore

Artificial Intelligence • SaaS • Enterprise

Uniphore is a Business AI company that provides an enterprise-grade, sovereign, composable, and secure AI cloud and suite of pre-built AI agents and applications for customer service, marketing, sales, and recruiting. Its full-stack platform spans data connectors and transformation, knowledge layers (RAG and knowledge graphs), model orchestration and fine-tuning (SLM factory), and multi-agent workflows, enabling Enterprises to deploy, govern, and scale AI across on-prem, cloud, or multi-cloud environments.

📋 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 • Deep knowledge of data ingestion, identity resolution, event tracking, and API-based integrations. • 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

• Equal opportunity employer committed to diversity in the workplace

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