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MixpanelMixpanel

Delivery Engineer III

Own strategic customer onboarding, data health, analytics architecture, and AI workflow integration for Mixpanel clients. The role combines technical consulting, project delivery, data governance, and cross-functional stakeholder management.

About the job

Responsibilities

  • Own onboarding and data health for strategic and high-value clients, including data quality improvements and tech stack integration.
  • Align with pre-sales teams and consult with prospects and clients to define business goals, metrics, data architecture, and project outcomes.
  • Engage engineering, product management, and marketing stakeholders to deliver technical onboarding, optimize Mixpanel deployments, and improve data trust.
  • Deliver technical services including data architecture consulting, adoption guidance, and change management.
  • Create scalable data governance practices, data optimization initiatives, and re-implementation projects.
  • Execute deliverables while managing timelines, scope changes, and unexpected issues.
  • Collaborate with technical and solutions partners on data optimization and onboarding projects.
  • Sponsor internal engagements with product and engineering teams to prioritize client-driven product and systems work.
  • Build AI automations to help customers manage data at scale.
  • Advise customers on integrating agentic workflows with Mixpanel data.

Requirements

  • Experience querying, modeling, and transforming data with at least one of SQL, dbt, Python, business intelligence tools, or product analytics tools.
  • Familiarity with databases and cloud data warehouses such as Google Cloud, Amazon Redshift, and Microsoft Azure.
  • Familiarity with product analytics implementation methods, including SDKs, customer data platforms, event streaming, and reverse ETL.
  • Knowledge of analytics best practices across business segments and verticals.
  • Ability to manage complex projects with multiple client stakeholders while controlling scope and timelines.
  • Experience embedding AI into workflows, using MCP servers, building skills, and setting context; ability to advise customers on AI and data strategy.
  • Experience in customer success, client-facing professional services, consulting, or technical project management.
  • Excellent written, analytical, and communication skills.
  • Strong process and project delivery discipline.
  • Eagerness to learn new technologies and adapt to evolving customer needs.

Compensation and Benefits

  • Total target cash compensation: $137,000–$185,000 USD, including base and variable compensation.
  • Eligible for equity consideration.
  • Medical, vision, and dental insurance.
  • Mental wellness benefit.
  • Generous vacation policy and additional company holidays.
  • Enhanced parental leave.
  • Volunteer time off.
  • US benefits including pre-tax benefits, 401(k), wellness benefit, and holiday break.

Skills

SQL, dbt, Python, GCP, Amazon Redshift, Microsoft Azure, Business Intelligence, Product Analytics, SDKs, Customer Data Platforms, Event Streaming, Reverse Etl, Mcp Servers, Data Governance, AI Workflows

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