Customer Success Engineer

The customer success engineer is a key member of the post-sales organization, aligning our observability technologies with the needs of our customers. We are customer obsessed, work hard, and have a team culture that is both entrepreneurial, professional, and fun. This is a technical customer management role in which you will own the long-term relationship with our top logos. The role is Hybrid (3 days from the office) workdays are Monday–Friday

Key Responsibilities:
Ensure proper onboarding for new long-tail customers so they have a seamless experience getting started with Logz.io.
Execute POCs and identify opportunities for upselling or cross-selling additional products or services to long-tail customers, driving incremental revenue growth.
Monitor customer adoption and usage patterns, proactively identifying any barriers to adoption and implementing strategies to address them
Serve as the primary point of contact for long-tail customers as their needs arise on an ad-hoc basis
Work with Long-Tail Account Managers to develop and execute retention strategies to reduce churn, increase customer loyalty, and ensure renewals
Customer Journey:
Develop comprehensive, accessible, self-service resources such as knowledge bases, FAQs, and video tutorials that address common customer inquiries and issues.
Implement automated onboarding workflows that guide new long-tail customers through the setup process step-by-step. Use email sequences, in-app messages, or chatbots to deliver personalized onboarding guidance and support based on the customer's specific needs and preferences.
Set up trigger-based communications to automatically reach out to long-tail customers at key milestones or touchpoints in their customer journey—check in after they've completed onboarding, reached certain usage milestones, or are up for renewal.
Track long-tail customers' usage patterns and behaviors. Set up automated alerts or notifications to flag instances where customers may be experiencing issues or underutilizing the product.
Implement automated surveys or feedback forms to gather insights from long-tail customers about their experiences with the product or services.
Generate personalized product recommendations for long-tail customers based on their usage history, preferences, and behavior.
Automate and streamline repetitive tasks and processes involved in managing long-tail customers.