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Mixpanel

Delivery Engineer II

San Francisco, US (Hybrid)From $146.5kfull-timemidAdded today

About this role

Mixpanel seeks a Delivery Engineer II to lead post-sales onboarding and data health for strategic customers, guiding them through product analytics integration while managing technical projects and emerging AI workflows within their data ecosystems.

What you'll do

  • Own onboarding and data health for high-value clients, ensuring ongoing data quality improvements and tech stack integration
  • Consult with prospects and clients to define business goals, metrics, and data architecture aligned with project outcomes
  • Execute technical onboarding, optimize Mixpanel deployments, and improve data trust across customer engineering and product teams
  • Deliver data architecture consultations, adoption strategies, and change management best practices
  • Create scalable data governance practices and lead data optimization or re-implementation projects
  • Manage project timelines and scope while building AI automations and advising on agentic workflow integration

What they're looking for

  • SQL, dbt, Python, or BI tool proficiency
  • Cloud data warehouse experience (GCP, Redshift, Azure)
  • Product analytics implementation (SDKs, CDPs, event streaming, reverse ETL)
  • Complex project and stakeholder management
  • AI integration and MCP server familiarity
  • Data modeling and transformation
  • Customer success or professional services background
  • Written and analytical communication

Benefits

  • Hybrid work arrangement in San Francisco
  • Medical, vision, and dental coverage
  • Equity consideration
  • Company bonus or commissions (role-dependent)
  • Opportunity to work with industry-leading product intelligence platform
  • Exposure to cutting-edge AI and agentic workflow technologies
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Mixpanel

Mixpanel builds data analytics and insights platforms that help companies understand user behavior and make data-driven decisions. The company is hiring Software Engineers for teams focused on AI-powered automated insights and developer infrastructure to enhance both the analytics experience and internal engineering workflows.

Website
mixpanel.com
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Likely interview questions

  • Walk us through a complex customer data integration project you've managed—what challenges arose and how did you handle scope creep?
  • Describe your experience with SQL and dbt. How have you used them to optimize data pipelines or improve data quality?
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