RevOps Leader, AI-Driven GTM Strategist

Litify; New York (NY); Remote; USD 175,000 - 190,000; Full time

Job summary

Litify is seeking a director-level Senior Revenue Operations Leader to simplify and elevate the GTM tech stack with an AI-forward approach. You will own CRM architecture, data-driven forecasting, and revenue reporting while leading a hands-on RevOps team at scale.

The role emphasizes cross-functional partnership, best-in-class territory design, and measurable improvements in data quality, adoption of AI tools, and operating cadence across Sales, Marketing, and Finance.

Qualifications

• RevOps leadership experience in GTM orgs.
• Hands-on CRM and AI integration experience.
• Ability to translate business questions into data models.

Responsibilities

• Own CRM architecture, hygiene, and stage-gate discipline across the full sales cycle.
• Build and maintain the bottoms-up capacity model the team's growth targets are set and defended against.
• Own revenue reporting — a single source of truth for the CRO and executive team on pipeline, bookings, and attainment.
• Run the forecast process end to end: stage-exit criteria, conditional close rates, and a cadence where managers commit their own numbers.
• Build and lead a weekly Demand Council cadence.
• Instrument competitive-presence tracking across the pipeline.
• Partner with the CRO & other members of the executive team on territory design, quota setting and modeling, and compensation plan mechanics.
• Evaluate, select, and land AI tooling into the GTM stack; drive adoption with usage data.

Skills

CRM architecture

Data modeling

Forecasting

Cross-functional collaboration

Tools

Salesforce

AI tooling integration

Domo

Job description

Litify is seeking a director-level Senior Revenue Operations Leader to simplify and elevate the GTM tech stack with an AI-forward approach. You will own CRM architecture, data-driven forecasting, and revenue reporting while leading a hands-on RevOps team at scale.

The role emphasizes cross-functional partnership, best-in-class territory design, and measurable improvements in data quality, adoption of AI tools, and operating cadence across Sales, Marketing, and Finance.