Remote Marketing Intern (University Student)
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Support social media, branding and event campaigns at Berlin boutique agency PRIME AGENCY M&M while gaining practical experience alongside university studies.
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Baseten provides model inference infrastructure for companies deploying machine learning and AI applications. Its platform is built for fast, scalable serving, combining high-throughput inference, rapid deployment, autoscaling, secure enterprise model serving, and support for open-source model packaging. Baseten helps engineering and machine learning teams manage the operational demands of model infrastructure so they can focus on developing domain-specific models. The company operates across artificial intelligence, SaaS, and enterprise technology, with a team of 11–50 employees.
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.
United States
California
New York$185,000 – $240,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredAnalystDescription
- 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
Requirements
- 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
Benefits
- 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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