RevOps Inference Lead: AI Compute & Revenue Strategy

Mistral

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Benefits package
Relocation assistance

Job summary

Mistral, a frontier AI solutions company in San Francisco, seeks an experienced Revenue Operations leader to own demand forecasting, pricing, and margin analytics for the Inference and Digital Native segments. You will build and own commercial telemetry, connect capacity and usage data with contracts and pricing, and partner across Sales, Data Science, Finance, and Product to drive revenue growth.

This is a build role with limited existing infrastructure, requiring practical judgment, strong SQL

Qualifications

  • Experience in revenue operations or business operations in a compute/AI environment.
  • Strong SQL skills and ability to build data models and dashboards.
  • Ability to build unit economics and margin models used by other functions.
  • Comfort discussing GPUs, utilization, serving efficiency, and capacity with engineers.
  • Proven cross-functional leadership and influence without direct authority.
  • Experience with data visualization/BI tooling and storytelling.

Responsibilities

  • Build and own end-to-end inference demand forecast incorporating pipeline, commitments, and consumption trends.
  • Surface capacity, demand, and shortages; translate requirements into actionable inputs forData Science and Inference Infrastructure.
  • Develop margin models and pricing guidance; support rate cards and discount guardrails with Finance and Pricing.
  • Create commercial telemetry for Inference: usage, expansion, churn signals, and revenue indicators.
  • Connect capacity, usage, contracts, pricing, and revenue data; enable self-serve reporting for GTM, Finance and leadership.
  • Lead territory design, ICP targeting, and pipeline forecasting for the Inference and Digital Native segment.
  • Drive alignment across Sales, Data Science, Inference Infrastructure, Finance, and Product on demand, capacity, pricing, and economics.

Skills

Revenue operations
SQL and data modeling
Unit economics and margins
GPU/infrastructure fluency
Cross-functional leadership
Data storytelling

Tools

Salesforce
BigQuery
Metabase

Job description

Mistral, a frontier AI solutions company in San Francisco, seeks an experienced Revenue Operations leader to own demand forecasting, pricing, and margin analytics for the Inference and Digital Native segments. You will build and own commercial telemetry, connect capacity and usage data with contracts and pricing, and partner across Sales, Data Science, Finance, and Product to drive revenue growth.

This is a build role with limited existing infrastructure, requiring practical judgment, strong SQL

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