Revenue Intelligence Architect

Element451

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.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLSnowflakedata pipeline buildingdata warehouse architectureAI-powered workflowsrevenue predictability modelingterritory mappingpipeline forecastingcustomer health scoringexpansion signal identification

Soft Skills

presentation skillsdata translationexecutive communicationanalytical thinkingproblem-solving