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, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're hiring a Revenue Analyst to scale the data foundation behind Baseten's revenue and usage reporting.
This role sits between Finance and Revenue Operations. You'll connect contract terms, pricing and CPQ data, product usage, metering, billing and invoices into one accurate view of customer revenue. Working with Finance Systems, you'll turn new pricing and contract structures into durable data models and dashboards that Finance and Revenue Operations can trust.
EXAMPLE INITIATIVES
Take a look at these recent posts on the products and growth this role will help us measure:
Announcing our Series F
Announcing our partnership with OpenAI
Introducing Baseten Hosted Tools
Blaxel is joining Baseten to build the future of agentic infrastructure
RESPONSIBILITIES
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 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 so revenue data stays reliable as systems change.
REQUIREMENTS
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, with the ability to turn technical analysis into clear recommendations for Product, Engineering and business partners.
Working knowledge of model inference frameworks, model-serving and training workflows, and the infrastructure metrics that drive performance and cost.
Hands-on forecasting experience with ARIMA, Prophet or similar time-series methods, including backtesting, error analysis and scenario planning.
Practical experimentation experience, including test design, power analysis and knowing when directional evidence is enough to act.
Experience with AI infrastructure, developer platforms or inference.
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Skills Required
- 5+ years of experience in analytics engineering, data analysis, revenue analytics, or a related role
- Advanced SQL and dbt skills
- Experience building production-grade data models, tests, documentation, and lineage in a cloud data warehouse
- 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 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
- Strong product judgment and communication skills
- Working knowledge of model inference frameworks, model-serving and training workflows, and infrastructure metrics
- Forecasting experience with ARIMA, Prophet, or similar time-series methods
- Experience with backtesting, error analysis, and scenario planning
- Practical experimentation experience, including test design and power analysis
- Experience with AI infrastructure, developer platforms, or inference
Baseten Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.
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Fair & Transparent Compensation — Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
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Healthcare Strength — Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
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Leave & Time Off Breadth — Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.
Baseten Insights
What We Do
AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.
Why Work With Us
We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.
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