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Baseten powers mission-critical inference for leading AI companies including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. The company recently raised $1.5B in Series F funding and is building the platform engineers use to ship AI products.
You will serve as a Revenue Analyst, sitting between Finance and Revenue Operations. Your core mission is to scale the data foundation behind Baseten's revenue and usage reporting. You'll connect contract terms, pricing and CPQ data, product usage, metering, billing, and invoices into one accurate, trusted view of customer revenue. Working closely with Finance Systems, you'll translate new pricing and contract structures into durable data models and dashboards that Finance and Revenue Operations teams depend on.
Key responsibilities include:
- Build and maintain production-grade dbt models and dashboards connecting Salesforce and CPQ, contracts, Orb, and product usage data
- Create canonical data 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 before they impact 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 keep revenue data reliable as systems evolve
You'll work on initiatives tied to the company's recent Series F announcement, OpenAI partnership, Hosted Tools launch, and Blaxel acquisition.
REQUIREMENTS:
- 5+ years of experience in analytics engineering, data analysis, revenue analytics, or 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 (e.g., Orb) and payment platforms (e.g., Stripe)
- Experience modeling usage-based commercial terms including minimum commitments, prepaid credits, tiered/volume pricing, overages, custom rate cards, and contract changes
- Experience working with Salesforce and CPQ data (products, price books, quotes, orders, amendments, renewals)
- Experience building dashboards and self-serve analytics in BI tools such as Sigma or Hex
NICE TO HAVE:
- Strong product judgment and communication; ability to translate technical analysis into clear recommendations
- Working knowledge of model inference frameworks, model-serving and training workflows, and infrastructure metrics
- 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
