Delivery Engineer II (GTM)
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 been uncovered during the sales process
Engage with customers' engineering, product management, and marketing teams to build rapport and run technical meetings with clear agendas in pursuit of clear outcomes
Explain technical concepts — data architecture, instrumentation, integration — to varied audiences, tying them back to the problems they're meant to solve
Run Mixpanel implementations using standard methods, including SDKs, CDPs, event streaming, reverse ETL, and warehouse connectors
Stay familiar with data governance best practices and lead data governance discussions with customers
Use AI tools (MCP servers, agent workflows) in your own implementation work to improve output and customize it to the situation
Identify gaps in implementation playbooks and best practices, and suggest improvements to managers and senior ICs
Partner with your Account Executive, CVA, and Customer Engineer on business and technical handoffs
Work with senior members of the team to experiment with new approaches to AI and process improvements
We're Looking For Someone Who Is:
Has technical, client-facing experience — implementation, onboarding, professional services, technical consulting, solutions, or support engineering are all strong backgrounds, including candidates whose customer exposure has primarily been through support tickets or email
Skilled at using existing resources, frameworks, and processes to execute — you don't need to build the playbook from scratch to deliver a great outcome with it
Has led or project-managed technical, customer-facing work — pure technical troubleshooting experience alone isn't enough; we're looking for some track record of owning implementation/onboarding work or a project from start to finish
Comfortable discussing data architecture, schemas, instrumentation, and API concepts, and conceptually fluent in tools like SQL / Python / SDKs / CDPs / data warehouses (Snowflake, BigQuery, Redshift, etc.) — deep hands-on coding expertise is not required; understanding how these pieces fit together and speaking to them confidently matters more
Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
Demonstrates familiarity with nearly all aspects of the Mixpanel product
Demonstrates familiarity with analytics best practices and common implementation patterns across business segments and verticals, and can map those onto customer projects
Understands basic B2B SaaS post-sales delivery dynamics and uses that knowledge to help set scope and timelines and support basic discovery and project management
Able to manage timelines, expectations, and competing priorities, and knows when to escalate
Genuinely curious about and engaged with AI — has experimented with AI tools, workflows, scripts, or agents to solve a problem, and has a point of view on where AI is useful today
Customer-facing and consultative skills can still be developing — we can coach communication style and consultative presence if the technical aptitude, delivery experience, and curiosity are there
Excellent written, analytical, and communication skills
Eager to learn new technologies and adapt to evolving customer needs
#LI-Hybrid
Compensation
The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.
Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.
Mixpanel Compensation Range
$108,500—$146,500 USD