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Senior Sales Engineer - AI (WFH/Remote)

Remote · France Full-time

Work Setup: Remote (must be a PH-based Filipino citizen)

Must-have Qualifications:

  • At least 7 years of experience in Contact Centre, pre-sales, solution engineering, or technical consulting (preferably with contact center-related operational and/or technical experience)
  • Prior experience working with or selling to Contact Centre/CCaaS solutions (Genesys, Avaya, Five9, NICE, Amazon Connect, etc.).
  • Experience in the Conversational AI space.
  • Must have project management and/or business consulting experience in the contact center industry.
  • Experience in managing large and strategic accounts.
  • Hands-on understanding of AI concepts: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI Applications, conversational AI platforms.
  • 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.
  • Fluency in English (written and spoken)
  • Ability to travel across India/APAC for client engagements

Responsibilities:

  • Act as the technical lead in the sales cycle, partnering with Account Executives to drive enterprise opportunities.
  • Understand customer pain points in contact centers and map them to AI-powered solutions (conversational AI, Agentic AI, knowledge retrieval, etc.).
  • Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based solutions.
  • Translate business requirements into AI solution architectures, 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 Contact Centre platforms (Genesys, Avaya,
  • Five9, Amazon Connect, etc.), and industry best practices.
  • Stay up to date on AI trends, competitor offerings, and the evolving landscape of agentic applications and enterprise AI adoption.

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