Senior Sales Engineer - AI (WFH/Remote)
- Location
- Philippines
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.