Director, Portfolio Solution Engineering

About this role

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Skills you'll use

What you'll do

• Own Presales end-to-end: pipeline, solution strategy, POC governance, and win/loss review
• Lead on complex enterprise AI deals from first discovery through technical sign-off
• Design and oversee POCs — including data requirements, model evaluation, integration architecture, and results framing
• Coach Solutions Consultants on AI solutioning, technical storytelling, and commercial positioning
• Build repeatable playbooks, demo frameworks, and discovery guides specific to AI/ML products
• Feed structured field intelligence back into Product and GTM strategy
• Represent the company at industry events and in customer advisory conversations.
• 12–16 years in Pre-Sales, Solution Consulting, or Sales Engineering — 3+ years leading a team

Who can apply

• Last 2+ years hands-on in AI product Pre-Sales — not adjacent to it, in it
• Working knowledge of the AI stack: LLMs, embedding models, vector databases, inference costs, token economics, prompt engineering, RAG pipelines, and API-based AI services
• Able to scope and run technically rigorous POCs without needing an engineer to translate
• Commercial fluency around AI pricing models — tokens, compute, licensing, and total cost of ownership conversations with procurement and finance
• Deep experience with complex, multi-stakeholder enterprise sales cycles
• A coach who leads by doing — you get in the deal, run the discovery, fix the demo, then debrief the team on why
• Ideal experience around 15-18 Years
• Has been in an Architect/ Gen AI front ending Technology role in the past 2-3 years

About NICE

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