Director, Portfolio Solution Engineering, ANZ

NiCE; Sydney; Hybrid; AUD 180,000 - 260,000; Full time

Job summary

NiCE, the market leader in cloud-based contact center technology, is seeking an experienced Solution Engineering Director to lead an international team and drive our CXone and Digital solutions into markets.

This role guides end-to-end presales, shapes AI-enabled deals, mentors consultants, and collaborates with product and GTM to accelerate growth—based in a hybrid model with global opportunities.

Qualifications

• 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

Responsibilities

• 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

Skills

Pre-Sales leadership

AI Pre-Sales

Enterprise sales

POC governance

Technical coaching

Commercial pricing

Tools

LLMs

Embedding models

Vector databases

Prompt engineering

RAG pipelines

API-based AI services

Job description

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 Engineering Director to lead an international team of and drive our CXone and Digital solutions into markets. The Director leads a team which works 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 and Digital needs. This position would also support deep technical expertise associated with our CXone solutions, as well as lead and drive partners enablement.

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

What's in it for you?

Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NICE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

About NiCE

NICELtd. (NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.