Head of Direct Marketing

Overview

In this role you lead the Direct Mail, CRM and lifecycle marketing efforts at Lendable, building a scalable growth engine anchored in LTV. You’ll own end-to-end channel delivery—from creative briefs to logistics and offers—while driving the analytics that tie sends to revenue. You’ll build and operationalize a data pipeline and propensity models to target the right customers at the right moment. This is a rare hybrid role combining hands-on execution with strategic, data-driven leadership.

Pay / Benefits

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

Responsibilities

• Own direct mail strategy end-to-end and set LTV-anchored targets for volume, response, and payback
• Scale the channel rapidly and sustainably by ensuring economics justify expansion
• Manage P&L for the channel including forecasting, budgeting, and CAC/LTV discipline
• Build response/propensity models and the data pipeline (first-party and enrichment data)
• Own segmentation, holdouts, and incrementality testing to improve every send
• Brief and iterate on creative, copy, and offers to lift response and conversion
• Run sends, print production, logistics, and vendor management
• Report channel performance and tie sends to funnel, revenue, and LTV
• Collaborate with data, product, risk, finance, and creative teams; hire and develop the team

Key requirements

• 7+ years in direct mail, CRM, lifecycle or performance marketing with 2–3 years owning a channel end-to-end
• Hands-on data experience: build propensity models and write SQL/Python to source and clean data
• Proven ability to scale a measurable acquisition or retention channel with impact on CAC and incremental LTV
• Strong economics mindset: forecast and defend a channel on unit economics and LTV
• Comfort with operational responsibilities: briefs, print/mail production, logistics and vendor mgmt
• Strong targeting and measurement skills: segmentation, holdouts, incrementality, attribution
• Commercial communicator who can earn trust across finance, data, product, and engineering
• Demonstrated use of AI in workflow (analysis, creative, modeling, automation)

• commercially driven
• first-principles thinker
• hands-on early, scaling later
• SQL
• Python
• propensity/modeling

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