Data Engineer, Business Units - Go

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.

About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically.

Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at  and about our values here.

The Opportunity As a Data Engineer on the Business Unit (BU) Pod supporting Go, you’ll build the pipelines and data models that help us understand how people use Superhuman’s proactive AI assistant. You’ll work closely with Product, Engineering, and Data Science to give teams the data they need to improve the product and measure its impact.

Go helps people where they already work, through conversations, inline suggestions, and built-in and custom agents. Understanding how people use these experiences takes more than counting clicks. Your work will help teams see where users get stuck, which capabilities they find useful, and what brings them back. It will also help connect Go’s usage to customer adoption and business growth.

You’ll own projects and datasets with a clear scope, supported by experienced engineers. Most of your work will focus on production pipelines and reusable data models that teams can use to answer their own questions. You’ll also contribute analysis and dashboards when they help move a decision forward. As you learn the product and our systems, you’ll have opportunities to take on more complex work.

What you’ll do Build and maintain production data pipelines in Databricks that process product events, user activity, and agent interactions across Go.Develop datasets for onboarding, activation, engagement, retention, and conversion so teams can work from consistent metrics.

Work with Product, Engineering, and Data Science to define what needs to be measured, improve event logging, and check that new features are represented correctly in downstream data.

Make data models easy to understand and use, with clear definitions and documentation that support self-service through analytics and AI tools. Build focused analyses and dashboards when they help partners use the data or make a decision.

Connect Go usage with customer and account data to help teams understand adoption, customer value, and Go’s contribution to growth and revenue.

Keep the datasets you own accurate, up-to-date, and reliable. Add tests and monitoring, investigate discrepancies, and fix the underlying causes.

Improve pipeline and query performance, manage compute costs, and make the code you work on easier to maintain.

You’ll work alongside engineers and partners across Data Platform and Go. We care about understanding the problem, questioning assumptions, and following through when the answer takes some digging. You’ll contribute to design decisions and have teammates to turn to as you build your expertise.

Qualifications You have 2+ years of experience building and operating production data pipelines, ideally for product analytics or other critical business use cases.

You’r…