About the job
About Mixpanel
Mixpanel is an innovative event analytics platform designed for creators who seek immediate insights from their data—no SQL skills needed. By empowering every team within the organization to visualize and understand the effects of their contributions on product, marketing, and revenue outcomes, we enable informed decision-making.
With over 9,000 satisfied clients, including industry leaders like Netflix, Pinterest, Sweetgreen, and Samsara, Mixpanel is dedicated to providing an analytics solution that is comprehensive, reliable, and accessible to all.
About the Customer Success Team:
Our Customer Success and Solutions Engineering teams function as analytical consultants who immerse themselves within our enterprise client teams to ensure successful business outcomes. We collaborate with prospects and clients throughout their journey to discern value drivers and act as the technical liaison to our Sales team, facilitating the delivery of that value. You will work closely with Account Executives, Account Managers, Product, Engineering, and Support to implement self-service analytics effectively, assist clients in managing transitions, execute technical projects that delight our customers, and ultimately enhance the ROI of their Mixpanel investment.
About the Role:
As a Customer Success Architect, you will engage with customers throughout their journey, starting with pre-sales by conducting proof of concepts that showcase rapid value, and continuing through post-sales onboarding and implementation to set clients up for enduring success with scalable solutions and best practices in data governance. Throughout the customer lifecycle, your role will involve understanding how analytics can generate business value and advising clients on how to optimize Mixpanel's utility, including managing change during its rollout, defining and achieving ROI, and identifying enhancements in their analytics usage. For large enterprise accounts, you will work alongside Account Managers post-onboarding to foster data trust and product adoption across hundreds of end-user teams through a structured change management approach.

