תיאור המשרה
Role Overview
Are you a data-driven strategist with a passion for customer journeys? We are looking for a Life Cycle Marketing Manager to own the end-to-end customer lifecycle at Maytronics. In this role, you will be the driving force behind increasing Customer Lifetime Value (LTV), re-engaging dormant users, and maximizing revenue from our existing global community.
You will design, execute, and optimize cross-channel programs that deepen engagement and accelerate repeat purchases, all while leveraging our rich customer data and cutting-edge Salesforce ecosystem.
Key Responsibilities
LTV & Reactivation Strategy: Lead the strategy to boost CLV/LTV. Design and scale win-back campaigns specifically targeting at-risk and dormant users (including those with 2+ years of inactivity).
Customer Journey Mapping: Map and optimize the full journey—from post-purchase and onboarding to replenishment and repurchase. Identify friction points and turn them into engagement opportunities.
Cross-Channel Execution: Coordinate seamless experiences across Email, SMS, App, Marketplaces, and Web. Ensure consistent messaging and timing across all touchpoints.
Data-Driven Optimization: Analyze cohort behavior and retention trends to inform strategy. Partner with Product, CRM, and Data teams to align lifecycle initiatives with business goals.
Platform Leadership: Own the lifecycle strategy and journey design within the Salesforce environment, partnering with IT and Marketing Automation for flawless deployment.
Requirements
Job Requirements (Experience & Skills)
Experience: 3–5 years of hands-on experience in B2C Lifecycle Marketing, with a proven track record of owning revenue-driving customer journeys. Experience in eCommerce is a significant advantage.
Salesforce Expertise: Deep, hands-on expertise in Salesforce Marketing Cloud (SFMC), including Journey Builder, segmentation, and automation.
Technical Ecosystem: Experience working in a Salesforce-first environment, including familiarity with Salesforce CRM and complex customer data models.
Analytical Mindset: Strong ability to analyze data, measure LTV, and translate cohort behavior into actionable marketing insights.
Strategic Execution: Ability to bridge the gap between high-level strategy and technical execution, working cross-functionally with data, product, and operations teams.
Communication: Excellent English (written and verbal) and the ability to maintain a cohesive brand voice across global channels.