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Описание вакансии
Текст:
TL;DR
Revenue Operations Manager (AI): Building the measurement and reporting layer for an enterprise go-to-market engine with an accent on pipeline analytics, forecast integrity, CRM data quality, and AI-assisted reporting. Focus on diagnosing funnel performance, modeling capacity and compensation plans, and delivering independent insights for executive and board-level decisions.
Salary: $207,200–$259,000 USD per year
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprises, governments, and leading AI model developers.
What you will do
- Build and maintain dashboards covering pipeline health, stage conversion, sales velocity, coverage, attainment, bookings, revenue, and consumption.
- Define core revenue metrics and run weekly pipeline reviews, forecast calls, monthly business reviews, quarterly business reviews, and board reporting.
- Analyze funnel performance, identify root causes, develop leading indicators, and recommend changes to capacity, headcount, territories, pricing, packaging, and vertical strategy.
- Own sales development reporting, CRM data integrity, qualification-field standards, and pipeline enrichment.
- Work hands-on with Salesforce, Clari, Outreach, ZoomInfo, LinkedIn Sales Navigator, Clay, and SQL-based data warehouses.
- Support capacity modeling, territory design, quota setting, and enterprise and sales development commission-plan reporting.
Requirements
- 8+ years of experience in revenue operations, sales operations, GTM strategy, or a quantitative business operations role in a high-growth B2B SaaS, PaaS, or AI infrastructure company.
- Deep Salesforce reporting expertise, strong proficiency with a BI platform such as Looker, Hex, Tableau, or Sigma, and the ability to write SQL against Snowflake, BigQuery, or Databricks.
- Strong enterprise sales knowledge, including pipeline coverage, stage-gate qualification frameworks such as MEDDIC, and complex multi-year deal dynamics.
- Ability to structure ambiguous business questions, identify root causes, and build systems that prevent recurring problems.
- Ability to communicate credibly about AI products, enterprise deployment, security, data, and buyer objections.
- Ability to challenge forecasts with data and communicate effectively with senior executives.
Nice to have
- Experience with mixed revenue models involving services, platforms, consumption, bookings, and recognized revenue.
- Experience supporting healthcare, life sciences, financial services, or public-sector organizations.
- Experience building sales development reporting from scratch.
Culture & Benefits
- Individual contributor role with broad ownership and exposure to enterprise GTM leadership, executive staff, and the board.
- Base salary, equity eligibility, comprehensive health, dental, and vision coverage, and retirement benefits.
- Learning and development stipend and generous paid time off.
- Potential commuter stipend depending on role eligibility and work location.
- Inclusive equal-opportunity workplace with reasonable accommodations available during the application process.
Hiring process
- Salary placement depends on work location, skills, experience, qualifications, interview performance, and education or training.
- Candidates must wait 90 days before being reconsidered for the same role.
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