Delivery Engineer, EMEA

United States Digital Space LLC; Greater London; Hybrid; GBP 70,000 - 105,000; Full time

Benefits offered by this job

Comprehensive Medical, Vision, and •—?

Job summary

United States Digital Space LLC is seeking a Delivery Engineer to own onboarding and data health for strategic clients, guiding them as they integrate our analytics platform into their data stack. You will lead data-adoption projects, advise on architecture, and enable AI-driven workflows across customer environments.

You will work with GTM teams and client stakeholders, delivering on-time, value-driven implementations while balancing timelines, scope, and potential blockers.

Qualifications

• Experience querying, modeling, and transforming data with SQL/dbt/Python or BI tools.
• Familiar with cloud data warehouses such as Google Cloud, Redshift, Azure.
• Experience with product analytics implementation methods (SDKs, CDPs, Event Streaming, Reverse ETL).
• Strong project management and stakeholder management in complex environments.
• Customer success or professional services/consulting experience is a plus.

Responsibilities

• Own onboarding and data health for strategic clients, including data quality improvements.
• Align with pre-sales teams and define business goals and metrics for data architecture and projects.
• Collaborate with customers’ engineering, product, and marketing teams on onboarding and data deployments.
• Deliver technical services from data architecture consultations to adoption and change management best practices.
• Leverage modern data architecture to establish data governance and data trust for clients.

Skills

Data querying & modeling

SQL

dbt

Python

BI tools

Product Analytics tools

Tools

Google Cloud

Amazon Redshift

Microsoft Azure

Job description

About the company

the company 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, the company helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at the company.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 the company into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of the company 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 the company into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from the company 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 the company 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 the company 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 the company 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 the company 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 varyCulture 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 the company?

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. the company’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 the company means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

the company is an equal opportunity employer supporting workforce diversity. At the company, 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.