Partner Value Solution Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the technical liaison between NiCE and its partners, facilitating their ability to position, sell, and implement NiCE solutions.

• Enhance partner revenue and success rates through sales engineering, technical enablement, account management, and service support.

• Oversee partner readiness across NiCE’s AI offerings, which include conversational AI, virtual agents, agent assist, automation, and AI-enhanced customer experience applications.

• Assist partners in navigating discovery, qualifying use cases, defining success criteria, orchestrating demo flows, executing proof-of-value initiatives, and crafting measurable outcome narratives.

• Offer expertise on AI architecture, integration requirements, data needs, model behavior, governance, and responsible AI practices.

• Lead technical discovery sessions, align requirements with joint solutions and CCaaS/AI capabilities, and support customized demos and proof of concept initiatives.

• Develop and present scalable technical enablement programs, webinars, office hours, partner resources, and readiness strategies.

• Monitor partner feedback and relay information regarding release impacts, integration challenges, model behavior, and roadmap necessities.

• Manage technical relationships with key partners, oversee integration patterns, evaluate release impacts, and assist with technical escalations.

• Collaborate with Product and R&D teams on partner requirements and influence the NiCE product roadmap.

• Assist in scoping services, providing estimates, contributing to statements of work, responsibility matrices, and architectural oversight for complex partner deployments.

• Perform advisory reviews, document lessons learned, and integrate these insights into patterns, templates, and enablement processes.

⛳️ Requirements

• Experience with AI, conversational AI, virtual agents, agent assist, or automation within CX/contact center settings.

• Capability to convert business outcomes into AI use cases and define success criteria.

• Familiarity with LLMs, generative AI, AI orchestration, integrations, and principles of responsible AI.

• Proven experience in supporting AI proof-of-value initiatives, pilot programs, or customer validation efforts.

🏝️ Benefits

• Dynamic, collaborative, and innovative work atmosphere.

• Opportunities for professional development and growth.

• Abundant internal career paths across various roles, disciplines, domains, and locations.