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.
Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite.
This is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You’ll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company’s most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions.