Commercial Associate (Customer Success & Analytics) (£55k-£75k + Equity) at Tunic Pay

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Commercial Associate (Customer Success & Analytics)

£55k-£75k + Equity

Tunic Pay is a pre-empted Series A fintech founded by veterans from Nova Credit and Palantir. The company is building the Payment Context Protocol, an intelligence layer for real-time payments that stops APP scams for major UK banks by providing rich, explainable context on every transaction to prevent fraud before it happens.

You will join a high-calibre GTM team to build customer success and analytics from the ground floor. You’ll lead pilots with major UK banks, analyze messy usage data to uncover trends, and translate insights into product roadmaps. This role is a "human accelerant" opportunity sitting at the intersection of customer impact and technical product development.

London, UK

• Join a pre-empted Series A startup led by founders who previously raised $130M+ and built teams of 100+ across three continents at companies like Nova Credit.
• Work directly with the UK's largest banks to solve a £460M annual problem, delivering measurable reductions in fraud losses and operational workload using specialized AI agents.
• Enjoy high ownership in a lean team where your data-driven insights directly shape the product strategy and global expansion plans for the Payment Context Protocol.

• Lead pilot programs with bank stakeholders, managing weekly performance reviews and creating concise reports that move partnerships toward full rollouts.
• Analyze complex usage and performance data to identify friction points, adoption patterns, and clear strategies for customer expansion through structured workshops.
• Act as the "voice of the customer" by surfacing structured feedback to the product team to prioritize features and UI improvements based on real-world impact.

• Has 2-7 years of experience in high-rigor strategy roles such as management consulting, investment banking, or Biz Ops at a high-growth startup environment.
• Possesses exceptional analytical skills with mastery of Excel and data storytelling, capable of extracting actionable signals from incomplete or messy datasets to drive decisions.
• Exhibits "radical ownership" and entrepreneurial energy, thriving in unstructured environments while communicating precisely and compellingly to senior stakeholders across slides and email.