Delivery Engineer, EMEA

2 нед. назад

United KingdomEuropeHybrid

analyticsai integrationsdata stackproject management

Responsible for post-sales onboarding, ensuring data health, and driving adoption of 's analytics platform for customers in EMEA.

Обязанности

As a Delivery Engineer, you will be on the front lines with our clients as they integrate into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from 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 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 and our customers
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 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 data.

Условия

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*

Другое

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, helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at .com .
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 into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of 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.
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
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is an equal opportunity employer supporting workforce diversity. At , 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