Customer Support Specialist, Klaviyo

• A thoughtful communicator who is excellent at communicating through a variety of channels that require both written and verbal skills
• Passionate about creative problem solving for customers and end users
• Self-motivated, eager to learn and thrive in a collaborative environment
• Capable of adapting quickly to changing priorities
• Experience with or able to quickly pick-up:
• Microsoft Office Suite, G-Suite, Google Sheets, PowerPoint, Zendesk, and Salesforce
• Web works, networking, and software products
• DNS, IPs and other networking concepts
• APIs
• Email marketing platforms and E-Commerce platforms

• Develop an in-depth knowledge of the Klaviyo platform
• Provide high-quality product support for Klaviyo customers, partnering with them to effectively resolve their issues through email, chat, and phone
• Communicate thoughtfully to provide answers to questions for both technical and non-technical end users while also supporting a wide range of technologies
• Diagnose software issues and resolve escalated customer complaints engage using established processes
• Provide support & guidance on non-technical related questions (e.g: marketing, sales, other e-commerce setup questions)
• Communicate thoughtfully and effectively with all Klaviyo customers
• Document troubleshooting and problem resolution steps

• Private health care cover
• All full time employees receive equity
• Commuting allowance for when you do travel to the office,
• A very generous education allowance every year for you to spend on learning and development.
• Participation in Klaviyo ESPP
• Personal lifestyle allowance
• Flexible holiday scheme

Klaviyo is a marketing firm helping growth-focused eCommerce brands drive more sales with super-targeted, highly relevant email, Facebook and Instagram marketing campaigns. From personalised newsletters to automated emails when customers abandon their shopping carts, the marketing automation platform makes it easy for businesses to capture, store, analyze, and predictively use their own data to drive measurable, high-value outcomes.