Revenue Systems Director - AI-Driven GTM Analytics

Abnormal AI, Inc.; United States; Vor Ort; USD 210.000 - 303.000; Vollzeit

Zusammenfassung

Abnormal AI, Inc. is seeking a Director of Revenue Systems & Analytics to own the GTM technology stack and the analytics that reveal how revenue performs from first touch to renewal.

You will lead strategy, architecture, and a cross-functional team across Marketing, Sales, and Customer Success, ensuring the data is trustworthy and actionable at the executive level. Reporting to the VP of GTM Operations, you will drive a unified revenue platform, reduce silos, and govern data quality while

Qualifikationen

• 10+ years in GTM systems, revenue ops, or analytics at a high-growth B2B SaaS, with 5+ years leading teams.
• Proven track record owning a multi-function GTM tech stack tied to revenue outcomes.
• Deep Salesforce expertise with cloud data warehouse and BI for exec reporting.
• Experience building exec and board-level dashboards covering full funnel.

Aufgaben

• Own the GTM tech stack end to end across marketing, sales, and customer success.
• Build a roadmap aligned to strategy and revenue goals to drive pipeline and retention.
• Lead AI-first initiatives across the GTM stack for actionable insights.
• Lead revenue analytics and executive dashboards with end-to-end visibility.

Kenntnisse

GTM systems

Revenue analytics

Salesforce expertise

Data governance

Executive dashboards

AI in GTM

Budget & vendor mgmt

Cross-functional leadership

Tools

Marketo

Gainsight

Gong

Snowflake

Sigma

Workato

Highspot

Jobbeschreibung

Abnormal AI, Inc. is seeking a Director of Revenue Systems & Analytics to own the GTM technology stack and the analytics that reveal how revenue performs from first touch to renewal.

You will lead strategy, architecture, and a cross-functional team across Marketing, Sales, and Customer Success, ensuring the data is trustworthy and actionable at the executive level. Reporting to the VP of GTM Operations, you will drive a unified revenue platform, reduce silos, and govern data quality while