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Implementation Manager, APAC

Join Mixpanel as a Delivery Engineer to drive data trust and integrate analytics into customer workflows in a hybrid role.

Location
Singapore (Hybrid)
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 7 hours ago

Apply at Mixpanel → Save job Scanned from mixpanel.com

What you'll build

  • Own onboarding and data health for strategic clients
  • Align with pre-sales teams to define business goals
  • Engage with customers’ teams for technical onboarding
  • Deliver technical services for data architecture
  • Build AI automations for data management

Must have

  • Comfortable with data querying and modeling
  • Familiar with databases and cloud data warehouses
  • Experience in customer success or consulting
  • Excellent written and communication skills

Nice to have

  • Experience with product analytics implementation methods
  • Familiarity with analytics best practices
  • Experience managing complex projects
  • Embedded AI into workflows

AI in the day-to-day

You'll own ensuring customers can build, assemble context, and integrate AI workflows.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Mental Wellness Benefit Volunteer Time Off Health Insurance Generous Vacation Policy Parental Leave

Joblaze summary

In the role of Delivery Engineer at Mixpanel, the individual will focus on onboarding clients and ensuring the integrity of their data as they integrate Mixpanel into their product development processes. Key skills include expertise in data querying and modeling, familiarity with cloud data warehouses, and experience with product analytics implementation. This position is well-suited for someone with a background in customer success or technical project management, who can navigate complex projects and collaborate effectively with diverse teams. The role emphasizes a consultative approach to enhance customer experience and drive data trust.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Mixpanel's careers page November 12, 2026.
  • SQL appears in 9.7% of 31 comparable mid other roles in Singapore; Python appears in 3.2% of 31 comparable mid other roles in Singapore.

Quick facts

Is the Implementation Manager, APAC role remote?
It's hybrid — Mixpanel expects some on-site time in Singapore (Hybrid).
Where is the role based?
Mixpanel is hiring for this position in Singapore (Hybrid).
What's the tech stack?
Joblaze extracted these technologies from the posting: Amazon Redshift, Business Intelligence, Google Cloud, Microsoft Azure, Python, SQL.
What seniority level is this role?
Mixpanel targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Implementation Manager, APAC role at Mixpanel.

From the original posting

About Mixpanel

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 an Implementation Manager, 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

Compensation

Pay Range
$123,500—$145,230 SGD

Benefits and Perks

Standard company text repeated across Mixpanel's postings is omitted here.

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