Delivery Engineer II (GTM)
Job description
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 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-Remote
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.
Benefits and Perks
- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
*please note that benefits and perks for contract positions will vary*
Culture Values
- Make Bold Bets: We choose courageous action over comfortable progress.
- Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
- One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
- Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
- Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
- Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.
Why choose Mixpanel?
We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.