Responsibilities

• Own the direct mail strategy end-to-end and set ambitious, LTV-anchored targets for volume, response and payback
• Scale the channel rapidly but sustainably, expanding sends only as far as the economics justify
• Own the P&L view of the channel: forecasting, budget and CAC/LTV discipline
• Build the response/propensity model that decides who we mail, with what offer, and when
• Source and stand up the data pipeline: first-party and third-party/enrichment data that feeds targeting
• Own segmentation, holdouts and incrementality testing so every send is measured and improving
• Brief and iterate on creative, copy and offer design to lift response and conversion
• Run sends, print production and logistics end-to-end, managing vendors and turnaround
• Optimise the offer strategy against eligibility, risk and lifetime value
• Build the reporting that ties sends to funnel, revenue and LTV and report on channel performance

Requirements

• 7+ years across direct mail, CRM, lifecycle or performance marketing, with at least 2–3 years owning a channel or function end-to-end
• Hands-on with data: you personally build response/propensity models and write the SQL/Python to source, clean and join the data behind them
• Track record scaling a measurable acquisition or retention channel with real commercial impact (CAC, ROI, incremental LTV)
• Fluent in the economics: you size, forecast and defend a channel on unit economics and LTV, not volume
• Comfortable running the operational side: creative briefs, print/mail production, logistics and vendor management
• Strong grasp of targeting and measurement: segmentation, holdouts, incrementality testing, attribution
• A commercial communicator who can earn the trust of finance, data, product and engineering
• Demonstrable use of AI in your workflow (analysis, creative, modelling, automation)

Preferred

• Experience in financial services, regulated or other consumer categories where offers and eligibility matter
• Experience standing up a data pipeline or enrichment stack (first-party + third-party / bureau data
• Experience building a channel or function from scratch
• Familiarity with credit/lending offers, pre-approval and risk-based targeting
• Background hiring and developing an analytics or marketing team
• You’re a good fit if you’re: Operator and analyst in one: you can run the sends and build the model that decides them
• Commercially driven: you measure success in incremental LTV and payback, not pieces mailed
• A first-principles thinker: you argue from data and clean experiments, not received wisdom
• Hands-on early, scaling later: you’re comfortable being the team, and the pipeline, for a while
• Disciplined about growth: you scale fast, but never faster than the LTV data supports

Benefits

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
• Health coverage: support for your physical and mental wellbeing, including private health cover
• Retirement & savings: long-term financial wellbeing through retirement savings plans
• Employee referral programme: earn a competitive bonus when you refer successful new team members
• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
• Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations