Delivery Engineer, EMEA

Mixpanel
London +1 more
Hybrid

Who this role is best for

Best suited to technically proficient professionals with consulting or customer success experience working in product analytics and AI integration.

Best fit for

  • Candidates with mid-level experience in technical project management and AI integration consulting
    — “Has experience in customer success, client-facing professional services, consulting, or technical project management role
  • Professionals who can balance technical depth with client-facing communication and process delivery
    — “Successfully execute on deliverables whilst balancing project timelines, scope creep, and unanticipated issues
  • Individuals with a background in data architecture and modern data stack implementation
    — “Leverage modern data architecture expertise to create scalable data governance practices

Things to consider

  • Candidates must be able to manage complex projects with multiple client stakeholders
    — “Can manage complex projects with assorted client stakeholders, working across teams and departments

How to stand out

  • Highlight experience in embedding AI workflows and managing data governance for clients
    — “Be a technical sponsor for internal engagements with product and engineering teams
  • Emphasize your ability to consult with engineering, product, and marketing teams on technical onboarding
    — “Engage with customers’ engineering, product management, and marketing teams
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful onboarding and data health for clients
  • delivery of technical services and best practices
  • implementation of scalable data governance practices
  • successful execution of deliverables
Typical background
experience in data integration and data warehousingbackground in project managementknowledge of cloud data warehouses

Skills & requirements

Required

Project ManagementData IntegrationCloud Data WarehousesEtl/elt PipelinesSQLData Warehousing ConceptsData ArchitectureData GovernanceData OptimizationData TransformationData ReconciliationData QualityData TrustData EcosystemAgentic WorkflowsAI Integrations

Preferred

AWSAzureCI/CDDevOpsGitJenkinsAzure DevopsPythonScripting LanguagesAutomationVersion ControlLife SciencesPharmaceutical Industry

Stack & domain

SQLdbtPythonBusiness Intelligence ToolsProduct Analytics Tools

About the role

Original posting from Mixpanel via Greenhouse

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 Delivery Engineer Team

As a member of the 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, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you’ll own ensuring customers are able to build, assemble context, and integrate AI workflows.

Responsibilities

Own onboarding and data health for our strategic and high-value clients, including ongoing enhancements to their data quality and overall tech stack integration

Align with pre-sales teams and consult with prospects/clients to define business goals and metrics to guide data architecture and project outcomes

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on deliverables whilst balancing project timelines, scope creep, and unanticipated issues

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with product and engineering teams to prioritize product and systems tasks from clients

Build AI automations to help customers manage their data at scale

Consult with customers on integrating their agentic workflows with Mixpanel data.

We're Looking For Someone Who Is:

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

Eager to learn new technologies and adapt to evolving customer needs

#LI-Hybrid

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.

Source: Mixpanel careers (Greenhouse)

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