Baseten
Baseten
Baseten машиналық оқыту және жасанды интеллект қолданбаларын іске қосатын компанияларға модель инференсі инфрақұрылымын ұсынады. Оның платформасы жоғары өткізу қабілеті бар инференсті, жылдам орналастыруды, автоматты масштабтауды, қауіпсіз корпоративтік модельдерді ұсынуды және ашық бастапқы кодты модельдерді қаптамаға жинауға қолдауды біріктіріп, жылдам әрі ауқымды қызмет көрсетуге арналған. Baseten инженерлік және машиналық оқыту командаларына модель инфрақұрылымының операциялық талаптарын басқаруға көмектеседі, осылайша олар нақты салаға арналған модельдерді әзірлеуге назар аудара алады. Компания жасанды интеллект, SaaS және корпоративтік технологиялар салаларында жұмыс істейді, командасында 11–50 қызметкер бар.

Revenue Analyst – Hybrid

Baseten is hiring a Revenue Analyst to connect billing, product usage, and contract data for its AI inference infrastructure business. The role develops reliable revenue models, dashboards, and metrics for Finance and Revenue Operations.

Сипаттама

  • Develop and maintain production-ready dbt models and dashboards that integrate Salesforce, CPQ, contract, Orb, and product-usage data
  • Build canonical data marts covering customers, products, contract terms, subscriptions, commitments, credits, billable usage, and invoices
  • Reconcile metered usage with billed revenue, invoice lines, and contract terms, resolving discrepancies before they affect customers or financial reporting
  • Collaborate with Finance and Revenue Operations to define and govern metrics for bookings, commitments, consumption, billed revenue, ARR, NDR, and expansion
  • Contribute to month-end close, revenue forecasting, and operating reviews through variance and trend analysis
  • Maintain documentation for metric definitions, data ownership, lineage, and exception handling
  • Implement tests and version control to preserve revenue-data quality as systems evolve

Талаптар

  • At least five years of experience in analytics engineering, data analysis, revenue analytics, or a related field, preferably in a fast-growing B2B company
  • Advanced SQL and dbt expertise, including production data models, testing, documentation, and lineage in a cloud data warehouse
  • Practical experience with usage-based billing or metering platforms such as Orb, along with payment platforms such as Stripe
  • Experience modeling usage-based commercial structures, including minimum commitments, prepaid credits, tiered or volume pricing, overages, custom rate cards, and contract amendments
  • Experience working with Salesforce and CPQ data across products, price books, quotes, orders, amendments, and renewals
  • Experience creating dashboards and self-service analytics with BI platforms such as Sigma or Hex

Артықшылықтар

  • Competitive pay package with meaningful equity
  • For U.S. employees, full medical, dental, and vision insurance coverage for employees and dependents
  • Flexible paid time off plus a company-wide Winter Break from Christmas Eve through New Year's Day
  • Paid parental leave
  • Fertility and family-building support through Carrot
  • For U.S. employees, a company-facilitated 401(k) plan
  • Opportunities to work with a range of machine-learning startups and build valuable industry connections

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