Customer Support Manager

Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.

Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.

Support is where promises get tested.

Our customers (enterprises, government entities, and large organisations) chose Lucidya because they believed it would make their teams better. When something goes wrong, or when they simply need answers fast, this team is what they experience. That experience either reinforces their decision or erodes it.

We are building a support function that doesn't just respond - it resolves, learns, and improves continuously. You will own that function. You will set the standard for what great support looks like at Lucidya, build the team and systems to deliver it, and use AI and automation to make it scale.

If you do this well, customers stay, trust deepens, and the entire business feels it.

Run the operation

• Lead, coach, and hold accountable a customer support team delivering high-quality service across chat, email, and ticketing.
• Own SLAs end-to-end. You set the targets, you monitor them, and you close the gaps when they slip.
• Take ownership of escalations - not just to resolve them, but to understand why they happened and stop them from recurring.
• Track the metrics that matter: CSAT, FRT, FCR, resolution time, SLA adherence, escalation rate, and backlog. Know your numbers at all times.

Make the system better

• Design and continuously refine support workflows, ticket routing, and escalation paths — then simplify them again.
• Identify inefficiencies before they become patterns. If something is slowing the team down, fix it.
• Build and maintain a knowledge base that is accurate, consistent, and genuinely useful - not just a repository nobody reads.
• Implement a QA process with teeth. Review real interactions, give direct feedback, and raise the floor on response quality across the team.

Put AI to work

• Deploy AI tools and support agents to improve the speed, consistency, and quality of every interaction.
• Identify the tickets that should never reach a human and build the automation to handle them.
• Monitor AI-generated responses for accuracy and reliability. When they fall short, fix the root cause (the content, the flow, or the use case definition).
• Track AI performance through deflection rate, resolution rate, and accuracy. Improve what isn't working.
• Stay ahead of where AI can go next in your workflows. You aren't waiting for someone to suggest it.

Work across the business

• Partner with Product and Engineering to surface bugs, pattern recurring issues, and turn support data into product improvements.
• Stay close to Customer Success on at-risk accounts, open issues, and customers that need elevated attention.
• Translate ticket trends and customer behaviour into clear, actionable recommendations - for your team and for the wider business.