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About the Role
As a Data Engineer on the Finance & Revenue team, you will own the pipelines, models, and datasets that power revenue reporting across Superhuman’s AI-native productivity platform. You will partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data. This role is high-ownership and high-impact, at the intersection of data engineering, finance, and business strategy, directly shaping how leadership understands business performance and makes investment decisions.
Responsibilities
- Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite.
- Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring a consistent, trusted view of financial performance.
- Contribute to the revenue attribution model by building and maintaining underlying datasets that connect product usage, customer lifecycle, and commercial signals.
- Model revenue data into clean, well-documented, reusable tables for self-service by Finance, Revenue Operations, analysts, and business partners.
- Own data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes.
- Partner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics.
- Continuously improve the performance, cost efficiency, and developer experience of the finance and revenue data platform.
Requirements
- 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases.
- Highly proficient in SQL and strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).
- Strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets.
- Rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions.
- Experience with workflow orchestration and CI/CD for data (e.g., Databricks Workflows or Airflow, with Git-based deployment).
- Comfortable using AI-assisted development tools like Codex or Claude Code.
- Clear communication and effective collaboration with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences.
- Cares about business impact and enjoys turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics.
- Self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment.
Skills
- Spark
- Databricks
- SQL
- Data Modeling
- Data Warehousing
- Delta Lake
- dbt
- Snowflake
- Workflow Orchestration
- CI/CD
- Git
Location
- San Francisco
- Seattle
Work Type
- Hybrid
Experience Level
- 3+ years
Salary/Compensations
- US Zone 1: $175,000 to $245,000
- US Zone 2: $157,000 to $220,500
Benefits
- Excellent health care (medical, dental, vision, mental health, fertility)
- Disability and life insurance
- 401(k) matching
- Paid parental leave
- 20 days paid time off
- 12 days paid holidays
- Two floating holidays
- Flexible sick time
- Generous stipends (caregiving, pet care, wellness, home office)
- Annual professional development budget and opportunities
About the Company
- Superhuman is an AI productivity platform on a mission to unlock 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.
- Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide.
- Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools.
Equal Opportunity
- We value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations.
- We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law.
- Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US).
- We also abide by the Employment Equity Act (Canada).