Data Engineer, Finance

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.

Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you’ll own the pipelines, models, and datasets that power revenue reporting across Superhuman’s AI-native productivity platform: Grammarly’s writing assistance, Mail, Docs, Databases, and Go. You’ll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data.