Revenue Operations, Inference Lead

What you'll do

• Forecast inference demand and combine it with capacity signals to guide availability, prioritization, and capacity planning.
• Develop pricing guidance, rate cards, and margin models; report on supply and recommended prices.
• Build commercial telemetry and self-serve reporting, and lead revenue operations for the Inference and Digital Native segment.

What they ask for

• Experience in revenue operations, business operations, strategic finance, or investment banking in a business with real, variable cost of goods; pure SaaS RevOps alone is not a fit.
• Strong SQL skills and ability to build data models from raw tables through dashboards.
• Demonstrated ability to build unit economics and margin models trusted and used by other functions.
• Technical fluency to discuss GPUs, utilization, serving efficiency, and capacity with infrastructure engineers, or evidence of ability to develop it quickly.

Nice to have

• Familiarity with inference markets, including provisioned throughput, per-token pricing, and serving models.
• Experience with consumption- or usage-based revenue models; Salesforce, BigQuery, and BI tooling such as Metabase are also mentioned.

Tools

SQL, GPUs, Salesforce, BigQuery, Metabase

AI focus

Commercial operations for the Inference business, including forecasting demand for AI inference workloads and aligning capacity, pricing, and margins.