Revenue Intelligence Architect
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Job Description
Revenue Intelligence Architect needed to create systems for growth and revenue predictability at a SaaS company serving higher education. Engaging in data-driven insights and AI workflows.
Responsibilities:
- Build revenue predictability across ARR, NRR, churn risk, and expansion models
- Create and maintain models for territory mapping, pipeline forecasting, product upsell, and customer health scoring
- Identify expansion signals across account hierarchies to surface new revenue opportunities
- Architect and manage data pipelines and enforce data governance standards
- Deploy AI-powered workflows that drive real business impact
- Deliver MBR and executive-level reporting to guide future actions
Requirements:
- 6 to 9 years in Revenue Operations, GTM Analytics, or Revenue Intelligence at a high-growth SaaS company
- Skill in Snowflake and SQL, with data pipeline building and data warehouse architecture experience
- Experience in building workflows or agentic systems with an AI builder mindset
- Ability to present complex data to C-level executives and translate insights into decisions
- Bonus points for experience with EdTech, higher education institutional data, or tools like Clay, n8n, and Airbyte
Benefits:
- 20 PTO days + 10 company holidays
- Comprehensive health, dental, and vision coverage
- 401(k) with 4% employer match
- Modern tech + opportunity to work with AI-driven tools
- Fast-moving, mission-driven culture
- High-impact work that improves access to higher education
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