- Location
- San Francisco, California, United States
- Workplace
- Hybrid
- Employment
- Full time
- Level
- Mid level
- Posted
- Yesterday
About this role
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:
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).
As published by baseten. Applications are handled on their site.
Skills this posting mentions
About baseten
Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast. Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.
All 113 openings at basetenOne click, then it is written
Apply to baseten with a resume written for this role.
Queue Revenue Analyst and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in baseten’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board baseten publishes. Refolk is not the employer and does not handle their hiring. Applications go to baseten directly.