Direct Marketing Growth Manager

Overview

In this role you own the Direct Mail channel end-to-end within a fast-growing fintech, shaping the strategy and execution to drive sustainable growth. You will bridge creative, ops and data to scale a high-potential offline channel, anchored by LTV-driven economics. You’ll build the response model and data pipeline that enables precise targeting and meaningful payback, while leading a team and collaborating with finance, data, product and engineering. This is a rare hybrid opportunity to lead both the channel and the analytics that power it, with autonomy to build from the data up. You’ll join a mission-driven company backed by strong product depth and market momentum.

Pay / Benefits

• flexible working
• health coverage
• retirement & savings plans
• employee referral programme
• office meals & snacks
• sustainable commuting options

Responsibilities

• Own the direct mail strategy end-to-end, setting ambitious, LTV-anchored targets for volume, response, and payback
• Scale the channel rapidly and sustainably based on economic validation
• Manage P&L for the channel including forecasting, budgeting and CAC/LTV discipline
• Develop the response/propensity model to decide who to mail, with what offer, and when
• Source and stand up the data pipeline (first-party and enrichment data) for targeting
• Own segmentation, holdouts, and incrementality testing to improve each send
• Brief and iterate on creative, copy, and offer design to lift response and conversion
• Run sends, print production, logistics, and vendor management
• Optimize offer strategy considering eligibility, risk, and lifetime value
• Build reporting tying sends to funnel, revenue, and LTV; collaborate with data, product, risk, finance and creative teams
• Hire and develop the analytics/marketing team and leverage AI to scale impact

Key requirements

• 7+ years in direct mail, CRM, lifecycle or performance marketing; 2–3 years owning a channel end-to-end
• Hands-on with data: build response/propensity models; SQL/Python for data sourcing and cleaning
• Proven track record scaling a measurable acquisition or retention channel with CAC/ROI and incremental LTV impact
• Strong understanding of unit economics and ability to forecast and defend channel economics
• Experience managing operations: creative briefs, print/mail production, logistics and vendors
• Strong targeting and measurement skills: segmentation, holdouts, incrementality testing, attribution
• Commercial communicator capable of earning trust across finance, data, product and engineering
• Demonstrated use of AI in workflows (analysis, creative, modelling, automation)

• commercial mindset and cross-functional influencing
• first-principles thinker
• hands-on operator and analytical thinker
• SQL
• Python
• response/propensity modelling

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