Customer Success Architect

Mixpanel Mixpanel · Data AI · London, United Kingdom · Customer Success

Mixpanel is seeking a Customer Success Architect to partner with enterprise customers, providing strategic consultation on data architecture, governance, and instrumentation to drive business outcomes and ROI through their AI-first digital analytics platform. This role involves managing the customer lifecycle from pre-sales to post-sales, ensuring successful implementation, adoption, and data trust, while bridging the technical-business gap.

What you'd actually do

  1. Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
  2. Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
  3. Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
  4. Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
  5. Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Skills

Required

  • Experience consulting on defining and delivering ROI through new tool implementations
  • Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
  • The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
  • Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
  • Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
  • Excellent written, analytical, and communication skills
  • Strong process and/or project delivery discipline
  • Eager to learn new technologies and adapt to evolving customer needs

Nice to have

  • Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
  • Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
  • Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
  • Familiar with analytics best practices across business segments and verticals
  • Fluency in additional languages

What the JD emphasized

  • AI-first digital analytics
  • customer's business outcomes
  • accelerate adoption, improve retention, and ship with confidence
  • drive data trust and product adoption
  • scalable implementation and data governance best practices
  • define and achieving ROI
  • improve data trust