Director of CRM at https://www.almedia.co

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

160000.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

CRM Strategy, Lifecycle Architecture, Data Analysis, A/B Testing, Braze, SQL, Omnichannel Orchestration, Predictive Modeling, API Integration, User Retention, Customer Segmentation, Data Schema Design, B2C Marketing, Liquid Logic, Webhooks, Performance Measurement

Industry

Advertising Services

Description

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. At Almedia, you’ll: Own way more, way earlier — you’ll be trusted with responsibility fast. Push harder, get further — this isn’t a 9–5. We highly reward intensity. Join a rare environment — you will work with ambitious high-speed, high-ownership people. Fully present — we’re 5 days a week in the office to build the energising momentum we need. Salary Range: €120K – €160K • Offers Equity • Offers Bonus We're looking for a highly analytical, data-driven Director of CRM who will architect a sophisticated, machine-learning-adjacent customer lifecycle engine designed to maximize long-term retention and engagement across our global user base. Your mission is to bring structure, rigorous experimentation, and algorithmic scalability to a CRM system that is complex by nature — with many entry points, diverse user flows, and a high bar for automation. You will sit at the intersection of marketing, product, and data science, moving comfortably from high-level retention strategy to hands-on pipeline and campaign execution. What You'll Do 🎯 Own Lifecycle Architecture & First-Day Experience: Own the full CRM strategy, with a heavy emphasis on mapping day-0 (d0) user behavior to optimize early-stage retention and long-term user monetization. Build Algorithmic Personalization: Move beyond static batch-and-blast and basic segmentation. You will collaborate with Data Science to deploy predictive logic, user-level personalization models, and behavioral triggers across Email, Push, SMS, and In-App. Drive Rigorous Experimentation: Establish a world-class testing culture. You will design, execute, and analyze systematic experiments that look past surface-level metrics to measure true incrementality and downstream KPI impact (e.g., Day-30, Day-90 retention). Partner on Data Schema: Work directly with Data and Engineering to design, audit, and optimize the CRM data schema, ensuring real-time event tracking is clean, correctly mapped, and actionable. Execute & Scale: While you own the strategy, you are also the primary operator in the early stages. You will build, troubleshoot, and optimize complex logic loops and API-triggered campaigns yourself. What You'll Bring 💡 Data Fluency & Measurement Rigor: You speak the same language as data scientists. You have a deep understanding of statistical significance, multi-variant testing, and how to isolate incremental lift. Hands-on Platform Mastery: Mastery of omnichannel orchestration platforms (e.g., Braze). You have a proven track record of personally building complex liquid logic, API-triggered webhooks, and multi-step Canvas flows without needing an intermediary team to execute for you. Complex Data Architecture Instincts: You know how to structure customer data so it scales. You can pinpoint exactly when a downstream personalization failure is an execution problem versus an underlying data pipeline or schema issue. High-Volume B2C Experience: Experience managing high-volume engagement at companies with large, active user bases where lifecycle complexity is real and data clean-room hygiene is paramount. Bonus: Experience overhauling a fragmented, "spaghetti-logic" CRM setup into a clean, scalable lifecycle engine, or experience writing basic SQL to query your own engagement data. What Makes You a Great Fit 🌟 Full Stack & Hands-on Ownership: You take complete accountability for the post-install world. If a flow breaks or a tracking event drops off, you are eager to jump into the data logs, diagnose the issue, and fix it yourself. Product-Led Retention Mindset: You look at CRM through a product lens. You understand that great retention starts at onboarding (d0) and that communication instruments are an extension of the product experience. Thrive in Building Phases: You are comfortable working in a high-growth environment where data frameworks are still evolving. You can hold a vision for predictive, automated systems while building tight, pragmatic short-term workflows that don't add technical debt. Why Almedia? 🎁 Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success. Scale With Almedia: Grow alongside a startup that has been profitable from day one. Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin. Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Director of CRM will architect a machine-learning-adjacent customer lifecycle engine to maximize global user retention and engagement. This involves owning the full CRM strategy, designing algorithmic personalization, and collaborating with data science and engineering teams to optimize data schemas.