At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco · New York
About Baseten
- 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're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
About the role
- The Revenue Analyst will scale the data foundation behind Baseten's revenue and usage reporting. This role sits between Finance and Revenue Operations, connecting contract terms, pricing, product usage, and billing into a unified view of customer revenue.
Responsibilities
- Build and maintain production-grade dbt models and dashboards connecting Salesforce, 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.
- Investigate gaps in revenue data before they affect customers or financial reporting.
- 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 to ensure revenue data reliability.
Requirements
- 5+ years of experience in analytics engineering, data analysis, revenue analytics, or a related role.
- Advanced SQL and dbt skills with a track record of building production-grade models, tests, documentation, and lineage.
- Hands-on experience with usage-based billing or metering platforms such as Orb.
- Experience with payment platforms such as Stripe.
- Experience modeling usage-based commercial terms including minimum commitments, prepaid credits, tiered/volume pricing, overages, and custom rate cards.
- 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.
Preferred qualifications
- Strong product judgment and communication skills.
- Working knowledge of model inference frameworks, model-serving, and training workflows.
- Hands-on forecasting experience with ARIMA, Prophet, or similar time-series methods.
- Practical experimentation experience including test design and power analysis.
- 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 policy
- Company-wide Winter Break
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k) (U.S. only)
- Exposure to a variety of ML startups
Skills
- SQL
- Dbt
- Salesforce
- CPQ
- Orb
- Stripe
- Sigma
- Hex
- ARIMA
- Prophet
