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Delivery Engineer II

Mixpanel - San Francisco, CA, United States - Hybrid - posted 2026-08-19

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Salary: USD 174,600 - 213,400 / annual

Mixpanel is a leading product intelligence and analytics platform trusted by over 29,000 companies. The Delivery Engineer II role is a customer-facing position focused on post-sales onboarding and data health for strategic and high-value clients. You will own the complete onboarding experience, ensuring customers successfully integrate Mixpanel into their product development processes and data ecosystems. Working closely with GTM teams and customers across engineering, product, and marketing functions, you'll deliver world-class onboarding, drive data trust, and help customers realize the full value of the platform. Key responsibilities include: owning onboarding and data health for strategic clients; consulting with prospects and customers to define business goals and data architecture; delivering technical services ranging from data architecture consultations to adoption best practices; leveraging modern data architecture expertise to create scalable data governance; executing on project deliverables while managing timelines and scope; collaborating with technical and solutions partners; serving as a technical sponsor for internal product prioritization; and building AI automations to help customers manage data at scale, including consulting on agentic workflow integration. You should be comfortable with data querying, modeling, and transformation (SQL, dbt, Python, BI tools, product analytics); familiar with databases and cloud data warehouses (GCP, Redshift, Azure); knowledgeable about product analytics implementation methods (SDKs, CDPs, event streaming, reverse ETL); experienced in analytics best practices across business segments; skilled at managing complex projects with diverse stakeholders; experienced with embedding AI into workflows and consulting on AI/data strategy; and have prior experience in customer success, professional services, consulting, or technical project management. Strong communication, analytical, and process discipline skills are essential.

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