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Full-time jobsthe United States

Delivery Engineer II (GTM)

mixpanel · Remote, US (Remote) · Full-time

About this role

About Mixpanel

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com .

About the GTM Delivery Engineer Team

As a member of the Go-To-Market Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers.

About the Role

As a Delivery Engineer II, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You'll own onboarding, implementation, and data health for a portfolio of primarily SMB and scaled accounts — using established playbooks, resources, and processes to solve customer problems and keep projects moving on-time and to scope. This role blends technical ownership of data-related outcomes with implementation. You're comfortable auditing and identifying opportunities for data quality improvements, while also driving structured onboarding work from kickoff to go-live (typically a 30–90 day lifecycle). 

You'll partner closely with your Customer Value Architect (CVA) to monitor data health and remediate issues, and you'll grow your consultative and technical skills as you take on more complex engagements. As you build fluency with Mixpanel's product and the broader data landscape, you'll also start applying AI tools — MCP servers, agent workflows — to your own implementation work, and look for opportunities to sharpen how the team delivers.

Responsibilities

• Own onboarding, implementation, and data health for a portfolio of primarily SMB and scaled accounts, using existing resources, frameworks, and playbooks to execute

• Field and resolve reactive technical support issues from customers — troubleshooting instrumentation, data discrepancies, and configuration questions — alongside proactive implementation work

• Monitor data health on assigned accounts and proactively work with your CVA on a remediation plan

• Partner with your CVA to define outcomes for customer projects and their associated business impact at the customer's organization

• Keep projects organized and on track, manage expectations and competing priorities, and escalate appropriately when you hit a wall

• Support pre-sales teams in aligning on business goals and metrics that guide data architecture and project outcomes, where these haven't already

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