Delivery Engineer II
$108,500–$146,500 year
HybridSan Francisco, California, United States
Job Summary
Own onboarding and data health for strategic clients, including ongoing enhancements to their data quality and tech stack integration. Align with pre-sales teams to define business goals and metrics guiding data architecture, while engaging engineering and product teams to optimize Mixpanel deployments. Deliver technical services ranging from data architecture consultations to adoption best practices, leveraging modern data expertise to create scalable governance and trust. Build AI automations to help customers manage data at scale and integrate agentic workflows. Successfully execute deliverables while balancing timelines, scope, and unanticipated issues, collaborating with partners and serving as a technical sponsor for internal product and engineering tasks.
Required Qualifications
- Comfortable with 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, 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
- Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change while managing scope and timelines
- Has embedded AI into their workflows and is familiar with using MCP servers, building new skills, setting context, and can credibly consult with our customers about their AI/data strategy
- Has 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
Desired Qualifications
- Eager to learn new technologies and adapt to evolving customer needs
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