Pricing & Revenue Lead

Requirements

• Autonomous problem solver: you work independently, make complex decisions confidently, and bring structure to ambiguous challenges without needing a playbook
• Commercial and marketplace instinct: you understand how pricing, retention, and member value interact — and you use that to spot opportunities others miss
• Strong analytical foundation: fluent in SQL and advanced spreadsheets, you turn messy datasets into clear recommendations that drive decisions, not just decks
• Persuasive communicator: you lead cross-functional conversations with confidence and know how to build the case that gets stakeholders bought in and moving
• Relevant experience: you’ve worked in strategy, operations, or growth roles — ideally within a consulting firm or a fast-paced consumer, marketplace, or digital platform business
• If this sounds like the place where you can do your best work, we’d love to hear from you, even if you don’t tick every box

What the job involves

• As Pricing & Revenue Lead, you’ll have genuine ownership over some of the most commercially significant work in the business
• You’ll shape how we price, how we grow our member base, and how we use data, experimentation, and AI to build a smarter, more scalable commercial operation. It’s a broad remit with real autonomy – the kind of role where the quality of your thinking directly determines the outcome
• Lead commercial programmes end-to-end: identify the opportunity, build the business case, define the strategy, and drive cross-functional teams to deliver — from first principles to impact
• Own our member engagement and growth strategy: identify where we can deepen value for our existing trade members, develop the commercial rationale, and lead initiatives across Product, CRM, and Sales to bring those programmes to life
• Drive subscription performance: analyse the health of our member lifecycle, identify where value is being lost, and lead the programmes that improve efficiency — from churn reduction to smarter commercial interventions
• Shape our pricing strategy: build the tracking, benchmarking, and alerting systems that keep our pricing sharp, and lead the strategic thinking behind how we evolve our model over time
• Build the case for intelligent operations: identify where AI and automation can give us commercial leverage, lead the business case, and drive delivery of the tools and systems that make this team faster and smarter

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