Revenue Analyst

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital.

• Build and maintain production-grade dbt models and dashboards that connect Salesforce and CPQ, contracts, Orb and product usage data.
• Create canonical marts for customers, products, contract terms, subscriptions, commitments, credits, billable usage and invoices.
• Reconcile metered product usage to billed revenue, invoice line items and contract terms, and investigate gaps.
• Partner with Finance and Revenue Operations to define and govern metrics for bookings, contracted commitments, consumption, billed revenue, ARR, NDR and expansion.
• Support monthly close, revenue forecasting and operating reviews with variance and trend analysis.
• Document metric logic, source ownership, lineage and exception handling.
• Add tests and version control so revenue data stays reliable as systems change.

• 5+ years of experience in analytics engineering, data analysis, revenue analytics or a related role, ideally at a high-growth B2B company.
• Advanced SQL and dbt skills, with a track record of building production-grade models, tests, documentation and lineage in a cloud data warehouse.
• Hands-on experience with usage-based billing or metering platforms such as Orb, and payment platforms such as Stripe.
• Experience modeling usage-based commercial terms, including minimum commitments, prepaid credits, tiered or volume pricing, overages, custom rate cards and contract changes.
• Experience working with Salesforce and CPQ data, including products, price books, quotes, orders, amendments and renewals.
• Experience building dashboards and self-serve analytics in BI tools such as Sigma or Hex.

• Nice to have: strong product judgment and communication.
• Nice to have: working knowledge of model inference frameworks, model-serving and training workflows.
• Nice to have: hands-on forecasting experience with ARIMA, Prophet or similar time-series methods.
• Nice to have: practical experimentation experience, including test design and power analysis.
• Nice to have: experience with AI infrastructure, developer platforms or inference.
• Benefits: competitive compensation including meaningful equity; 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only); flexible PTO including company-wide Winter Break; paid parental leave; fertility and family-building stipend through Carrot; company-facilitated 401(k) (U.S. only).