Technical Enablement Manager

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?

As a Technical Enablement Manager, you’ll help ensure Cognigy’s partners are technically capable of building, demoing, and delivering high-quality AI Agents on the Cognigy platform.

This role is focused on hands-on technical enablement.

You’ll work closely with partner engineers, sales engineers, and internal teams to turn product knowledge into real-world solutions.

You’ll be a go-to technical resource for partners, helping them move from basic understanding to confident execution across sales cycles and customer implementations.

How will you make an impact?

• Enabling partners to design, build, and deliver AI Agents using the Cognigy platform
• Supporting partner onboarding and ongoing technical readiness through structured enablement and certification paths
• Delivering technical enablement sessions, workshops, and hands-on labs
• Assisting partners with JavaScript development, debugging, and flow-based logic
• Supporting API usage and integrations as part of AI Agent implementations
• Helping partners work effectively with context variables and conversation logic in Cognigy
• Advising on webchat embedding and xApps using HTML, CSS, and JavaScript
• Supporting partners during demos, proofs of concept, and key partner-led opportunities
• Collaborating with Sales Engineering, Product, and Professional Services to align on technical standards and best practices
• Translating product updates and new features into clear, partner-ready technical guidance

Have you got what it takes?

• Strong JavaScript coding and debugging skills, with the ability to support and unblock others
• Experience working with APIs and integrations in real-world implementations
• Practical experience using context variables and conversation logic within Cognigy