Director, Portfolio Solution Engineering

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE, the market leader in cloud-based contact center technology, is looking for an experienced Solution Consultant to excite potential customers about its extensive portfolio and aid them in ultimately becoming a NICE customer. A successful Solution Consultant will work consultatively with prospects to identify their goals and business drivers, and creatively design a solution that will meet the ever-growing demands of their contact center needs. This position will provide dedicated sales support to the Enterprise, BPO and SMB sales teams by exceeding the below expectations. Hands on architects, with a flair of presenting, can do a Player / Coach role. How will you make an impact?  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. Have you got what it takes?  12–16 years in Pre-Sales, Solution Consulting, or Sales Engineering — 3+ years leading a team 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 Is conversational and understands Gen AI positioning and has exposure to banking, insurance, retail in similar profiles, What’s in it for you?