Product Pre-Sales Engineer, AI

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? This is a highly technical pre-sales role responsible for designing, building and demonstrating AI-driven customer engagement solutions. You'll operate at the intersection of AI, digital engagement, and contact center transformation leveraging NiCE’s Agentic AI-first CX platform to define and deliver solutions that drive measurable outcomes. How will you make an impact? - Lead discovery and solutioning. Own discovery calls and technical deep dives to uncover pain points and identify opportunities across NiCE's Agentic AI portfolio — including AI-driven Intelligent Virtual Agents, Knowledge Management, Agent-Assist, and Proactive AI - Tell compelling stories.

Deliver customized, high-impact demos and presentations that don't just show product features, they paint a vision of what exceptional customer experience looks like. - Respond to RFIs and RFPs. Craft differentiated responses that go beyond checkbox compliance and make NiCE stand out. - Design, build, and execute proof-of-value implementations that demonstrate real-world value and accelerate deal velocity. - Stay sharp on the competitive landscape. Continuously track market trends, competitive positioning, and emerging technologies across AI, digital, and cloud platforms. - Upskill others. Provide deep technical expertise and upskill others across adjacent teams, becoming a go-to subject matter expert for Agentic solutions in the NiCE portfolio. Have you got what it takes? Experience - 7+ years in a solutions engineering, pre-sales, or sales architecture role, engaged in planning and executing complex enterprise software sales - 7+ years of consulting or customer engagement experience - 5+ years of contact center experience, with deep familiarity of the CCaaS landscape - Proven track record delivering best-in-class solutions with strong work examples Technical Skills - Hands-on ability to configure and demo AI agent flows including intent design, LLM tuning, RAG-based knowledge retrieval, and agent orchestration in Cognigy or a comparable conversational AI platform - Working knowledge of voice technologies: SIP, WebRTC, IVR and voice gateway design, sufficient to architect and troubleshoot voice-channel POVs - Ability to design and diagram integration architectures spanning CRM, knowledge bases, and business systems via REST APIs and microservices - Familiarity with enterprise authentication protocols (OAuth, SAML, OIDC) and security/compliance frameworks relevant to AI deployments (e. g. , PCI DSS, data governance, vendor security questionnaires) - Understanding of agent observability and evaluation; able to speak to and demonstrate feedback loops, accuracy/reliability metrics, and guardrail testing in customer-facing conversations - Working knowledge of HTML, JavaScript, CSS, DOM, and browser developer tools, plus basic scripting ability (Python/JavaScript) to support AI-assisted prototyping ("vibe coding") beyond no-code tooling - Familiarity with MCP, A2A and multi-agent orchestration concepts, including multi-vendor agent interoperability (e. g.