
1001 - 5000 employees
Founded 2013
☁️ SaaS
🏢 Enterprise
🛍️ eCommerce
SaaS • Enterprise • eCommerce
Syndigo is a leading cloud-native company specialized in content and data lifecycle management solutions. The company focuses on providing a comprehensive platform for Master Data Management (MDM), Product Information Management (PIM), and Digital Asset Management (DAM) to help organizations manage data efficiently and optimize their product content. Syndigo serves a wide range of industries including retail, automotive, healthcare, and more, supporting enterprises to enhance customer engagement and streamline operations. With more than 14,000 clients globally, Syndigo aims to deliver exceptional experiences by integrating analytics throughout the product lifecycle, ensuring the highest quality of data governance, content delivery, and feedback optimization.
🕒 May 18
🗣️🇩🇪 German Required
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1001 - 5000 employees
Founded 2013
☁️ SaaS
🏢 Enterprise
🛍️ eCommerce
SaaS • Enterprise • eCommerce
Syndigo is a leading cloud-native company specialized in content and data lifecycle management solutions. The company focuses on providing a comprehensive platform for Master Data Management (MDM), Product Information Management (PIM), and Digital Asset Management (DAM) to help organizations manage data efficiently and optimize their product content. Syndigo serves a wide range of industries including retail, automotive, healthcare, and more, supporting enterprises to enhance customer engagement and streamline operations. With more than 14,000 clients globally, Syndigo aims to deliver exceptional experiences by integrating analytics throughout the product lifecycle, ensuring the highest quality of data governance, content delivery, and feedback optimization.
• Manage a high-volume portfolio of long-tail customers across DACH and Europe • Deliver success primarily through one-to-many and digital channels (webinars, in-app messaging, campaigns, knowledge base, community) • Prioritize actions using health scores, usage data, and system-driven signals • Serve as the primary point of contact for transactional, lower-touch customer interactions • Support structured renewal processes for long-tail accounts • Identify churn risks early using data signals and usage trends, and execute predefined mitigation actions • Collaborate with Sales and Account Management on commercial actions when needed • Design and support scalable training formats (group sessions, tutorials, playbooks) • Maintain and improve self-service and knowledge resources • Enable customers to independently operate the platform • Analyze product usage, engagement signals, and support trends to identify patterns • Monitor dashboards and customer data to flag risks, gaps, or opportunities at scale • Contribute insights to improve health scoring, segmentation, and reporting • Review customer contracts, order forms, and amendments to ensure all products, data domains, recipients, and entitlements are correctly reflected in internal systems • Validate that customer licenses, usage rights, and service entitlements are accurately provisioned and aligned with contractual agreements • Execute data validation and cleanup tasks within structured workflows • Maintain high data quality standards in Salesforce, including: • Account and opportunity hygiene • Correct product, SKU, and entitlement mapping • Accurate renewal dates, ACV, and contract term
• 1–2 years of experience in data analysis, operations, SaaS support, or customer-facing roles • Excellent language skills in English and German (C1) • Comfortable working in a high-volume, process-driven environment with repetitive workflows • Experience using tools such as Salesforce, Churn Zero, Excel/Google Sheets, or similar systems • Demonstrated ability to work in structured, process-driven environments • Strong written communication skills for digital customer interactions • Highly organized and self-managed in a remote environment • Strong analytical mindset with comfort interpreting dashboards, usage metrics, and data trends • Demonstrated ability to learn new tools and systems quickly (highly coachable) • High attention to detail and data accuracy
• Professional development opportunities • Flexible working arrangements
Apply Now🕒 May 13
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