Own deal review and pricing decisions across EMEA and APAC, partnering with sellers to structure complex agreements, protect deal economics, and improve pricing guidelines and deal processes.
Pricing Lead
📜 Description
- Define category pricing strategy, including price architecture, promotions, commitment packages, and guardrails.
- Build a prioritised roadmap of pricing tests with clear hypotheses, expected impact, and success measures.
- Use AI to analyse pricing performance, competitor activity, propositions, reviews, and switching behaviour.
- Design and launch experiments with Growth, Marketing, and Finance; assess results rigorously and scale or stop tests.
- Track revenue, margin, and unit economics by category, product, and cohort, supporting planning and forecasting.
- Build financial cases for new propositions, launches, and pricing changes, including payback and ROI.
🛠️ Requirements
- Degree in Data Science, Mathematics, Economics, Finance, or another quantitative or science subject.
- 4+ years in pricing, growth, or commercial analytics, with examples of tests that improved revenue or margin.
- Use AI daily for analysis, research, and modelling, and be able to show its impact on findings or speed.
- Strong experiment design and statistical knowledge.
- Strong financial modelling and fluency in CAC, LTV, contribution margin, and cohort retention.
- Clear, persuasive communication that turns complex analysis into decisions.
✨ Benefits
- Share options.
- 25 days of holiday plus bank holidays, increasing to 30 days with tenure.
- Health insurance with Vitality.
- Electric car salary sacrifice scheme.
- Enhanced maternity and parental leave.
- Birthday day off.
- Generous pension with employee and employer contributions.
- Flexible working options.
Full job description
The Pricing Lead owns how Numan prices. You'll define the pricing strategy for each category, then build and run the roadmap of tests that gets us there, one experiment at a time. You'll sit in the Commercial team, reporting to the VP of Commercial, and your work will shape what patients pay and how profitable Numan is.
This is an AI native role. You'll use AI every day to analyse our own pricing data and the market around us: competitor moves, switching patterns and how patients respond to price. You'll turn what you find into sharp hypotheses, and those hypotheses into tests. The faster that loop runs, the faster we learn.
Ideally you'll come from growth. You'd rather ship a test this week than a perfect model next quarter. You hunt for quick wins without losing sight of the long game, and you know when the data says stop.
You will:
Define the pricing strategy for each category: price architecture, discount and promo rules, commitment packages and the guardrails category leads work within. Keep it current as the market moves.
Turn the strategy into a prioritised roadmap of pricing tests, each with a clear hypothesis, expected impact and success measure. Let each result decide what you test next.
Use AI to analyse internal pricing performance and external signals at speed, including competitor pricing, propositions, reviews and switching behaviour. Turn the patterns into testable hypotheses.
Design and launch tests with Growth, Marketing and Finance. Set guardrails before launch, read results with statistical rigour, and scale or kill fast.
Own the pricing view of revenue, margin and unit economics by category, product and cohort. Support quarterly planning and forecasting with Finance, and flag risks and opportunities before they reach the P&L.
Build the financial case for new propositions, launches and pricing changes, including payback and ROI.
You will have:
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