Delivery Engineer

United States Digital Space LLC

San Francisco (CA)

Hybrid

USD 132,000 - 179,000

Full time

14 days+

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Benefits offered by this job

Medical, Vision & Dental

Mental Wellness Benefit

Vacation policy

Parental Leave

Volunteer Time Off

401(k) plan

Job summary

United States Digital Space LLC is seeking a Delivery Architect to lead onboarding and data health for key customers, embedding the company into client data stacks and delivering AI-enabled integrations. Youll collaborate with GTM teams and diverse clients to roll out product analytics, drive architectural guidance, and ensure successful, on-time onboarding across the data ecosystem.

You will guide customers through data architecture, governance, and AI-driven workflows while balancing

Qualifications

Comfortable with data querying, modeling, and transforming in at least one core tool (SQL/dbt/Python/BI tools).
Familiar with databases and cloud data warehouses (GCP/Redshift/Azure).
Experience with product analytics implementation methods (SDKs, CDPs, Event Streaming, Reverse ETL).

Responsibilities

Own onboarding and data health for strategic and high-value clients, including data quality improvements and tech stack integration.
Collaborate with pre-sales to define business goals and metrics guiding data architecture and project outcomes.
Work with clients’ engineering, product, and marketing teams to handle technical onboarding and deployment improvements.
Deliver data architecture consultations and adoption/change management best practices.
Create scalable data governance and data trust through optimization and re-implementation projects.
Balance project timelines and scope, handling unanticipated issues responsibly.
Collaborate with technical and solutions partners on data optimization and onboarding projects.
Act as a technical sponsor for internal product and engineering prioritization based on client needs.
Build AI automations to help customers manage their data at scale.
Consult on integrating clients’ agentic workflows with the company's data.

Skills

SQL

Python

dbt

Business Intelligence 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 Architect Team

As a member of the Delivery Architect 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 Architect, 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 with the company.

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 the company 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

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.

the company Compensation Range

$132,000—$178,500 USD

**Benefits and Perks**