Head of Customer Success

New
A
AveniFintech AI
Remote-first working across the UK.Full-TimeManager
Salary not disclosed
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Job Details

Required Skills
LeadershipData AnalysisSaaSCRM

Requirements

  • Significant leadership experience within Customer Success, Strategic Account Management or Client Services.
  • Proven track record of improving customer retention, renewals, expansion and customer satisfaction.
  • Experience building, scaling or transforming Customer Success functions within a SaaS, AI or technology business.
  • Experience leading enterprise customer relationships and supporting executive-level engagement.
  • Strong leadership, coaching and stakeholder management skills.
  • Commercial acumen with experience managing forecasting, customer health and revenue retention.
  • Data-driven approach to decision making with experience using CRM and Customer Success platforms.
  • Proactive, customer-centric mindset.
  • Experience within AI, compliance or regulated technology (nice to have).
  • Experience working with Financial Services organisations (nice to have).
  • Experience implementing Customer Success tooling or health frameworks (nice to have).

Responsibilities

  • Lead and develop a high-performing Customer Success team through coaching and continuous improvement.
  • Own the Customer Success operating model, engagement framework, and customer lifecycle strategy.
  • Ensure customers achieve measurable business outcomes and maximize value from the Aveni AI platform.
  • Lead an internal customer insight strategy to inform product development and business improvements.
  • Act as an Executive Sponsor for key customer relationships and support complex escalations.
  • Own key performance metrics including Gross Revenue Retention (GRR), Net Revenue Retention (NRR), and health scores.
  • Partner with Sales to support renewals and strategic account planning.
  • Collaborate with Product and Support to deliver a seamless end-to-end customer experience.
  • Build scalable processes using AI-enabled intelligence and data-driven prioritization.
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