September 20
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
• Ensure accurate configuration and integration of Zeotap CDP on customers’ test and production environments • Analyse customers’ needs and suggest upgrades or additional features to meet their requirements • Drive clarity on immediate use-cases and programme manage the execution • Partner with customers and internal stakeholders to drive consensus on mutual success • Educate customers on the best practices and effective use of the Zeotap platform • Work offsite and onsite (as necessary) to troubleshoot and diagnose implementation issues on the different levels of solutions • Act positively and respond promptly to the customer’s requests/tickets • Establish Best Practices and repeatable playbooks for CDP integration and implementation • Analyse customer support requirements and identify areas for automation and efficiency gains • Review and ensure accuracy of technical documentation • Adhere to Zeotap’s company, privacy and information security policies and procedures • Provide product teams with customer feedback to help identify potential new features or enhancements
• Experience with data products, in particular data validation and analytics • Prior experience with JS and SDK implementation and debugging, RESTful APIs • Familiarity with command line, scripting syntax, SQL • Familiarity with data warehousing tools such as BigQuery and GCP cloud • Understanding of web and mobile applications • Exposure to single sign-on (SSO) integration • Experience with large-scale project management and delivery • Interpersonal, communication and client management skills • You speak English fluently
• Competitive compensation & benefits • Remote-first organisation • Unmatched Global support system • Fast-paced, collaborative & fun culture • Exposure & access to industry experts & teammates that live our values • Work with very driven entrepreneurs & a network of global senior investors across Telco, Data, Advertising & Technology
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