Skills this job asks for
CRMA/B testingAuditStatisticsSQL
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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✓
Pay clears the visa salary barStated pay (160k) clears the Germany EU Blue Card threshold of €50,700.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Pay clears the visa salary bar
- Stated pay (160k) clears the Germany EU Blue Card threshold of €50,700. Source: https://www.make-it-in-germany.com/en/visa-residence/types/eu-blue-card, rules effective 2026-01-01.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
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 95 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: 120-160k • Total Comp: 200k
We're looking for a highly analytical, data-driven Director of Customer Lifecycle (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 da
View original listing ↗