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Customer Support Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Samaipata
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    HelpDesk/Support, Technical Support, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 40000 - 60000 GBP Yearly GBP 40000.00 60000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Customer Support Lead

Location:

London, Hybrid

What You’ll Do
  • Deliver frontline volume. In the queues across live chat, phone and email, resolving within SLAs
  • SLA delivery. Design & run the operation that delivers a minutes first response, hours time-to-close, and market-leading CSAT.
  • AI delivery. Own containment, deflection and AI resolution rates.
  • Own the knowledge base. Keep the help centre accurate and current against every product release, with a defined refresh cadence for new features, so it both reduces inbound volume and improves AI resolution.
  • Lead escalations with composure. When a top-tier customer is blocked and the query has been escalated, you’ll be the deescalation point to handle the problem.
  • Close the product feedback loop. Surface recurring themes and insights to the product team so we reduce tickets per workflow over time, not simply resolve them faster.
This Role Is a Great Fit If…
  • You’ve led a support function before and turned ad-hoc firefighting into clear processes, ownership and routing.
  • You’re genuinely metrics-driven - you can look at a declining CSAT line, diagnose why, and credibly commit to SLAs.
  • You’re a player-coach who's happy in the inbox today and helping other members of the team You think deliberately about the human/AI mix and where AI should be deployed and not deployed
  • You’re unflappable under pressure and instinctively protect the experience for accounts when something breaks.
This Role Is Not a Great Fit If…
  • You want to only respond to tickets and aren’t interested in owning processes, routing or the underlying numbers.
  • You see AI as something for “later” or as a threat, rather than a core lever you’d actively own.
  • You need a large, settled team and mature tooling to be effective - this starts lean and scrappy, with plenty still to build.
  • You freeze when a top customer escalates loudly instead of stepping toward the problem.
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