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GTM RevOps Leader - On-Site NYC, AI SaaS

Job in New York, New York County, New York, 10261, USA
Listing for: Crawford Thomas Recruiting
Full Time position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: GTM RevOps Leader - On-Site NYC, AI SaaS Growth
Location: New York

New York, NY (Manhattan) - ON-SITE, NO REMOTE OR HYBRID OPTIONS

Our client is a tech startup offering an AI-powered home management platform for homeowners. They are searching for a GTM Rev Ops Leader to join their team ASAP!

$150-180k base salary + full comprehensive benefits

Job Summary

Our client, an innovative AI-native SaaS company in the property management technology space, is seeking a highly strategic and hands-on GTM Operations Engineer / Rev Ops Lead to build and scale the operational foundation that supports revenue growth. This role is ideal for someone who thrives at the intersection of Revenue Operations, GTM Systems, Data, and Automation.

The ideal candidate will bring a blend of technical systems expertise and strategic Rev Ops leadership, with the ability to architect scalable GTM infrastructure, optimize commercial operations, and deliver actionable business intelligence across the organization. This individual will play a critical role in building the company’s operational backbone while partnering cross-functionally with Sales, Marketing, Customer Success, and Leadership teams.

This is an onsite position based in New York.

Job Responsibilities
  • Own and optimize the company’s GTM and Revenue Operations infrastructure, processes, and systems Build scalable operational frameworks to support rapid company growth
  • Design, implement, and automate workflows across Sales, Marketing, and Customer Success functions
  • Manage and optimize CRM functionality to ensure systems evolve alongside business needs
  • Develop dashboards, reporting, and analytics that provide visibility into commercial performance and key revenue metrics
  • Drive revenue forecasting processes and improve forecast accuracy
  • Support pricing and packaging analysis, compensation planning, and territory mapping initiatives
  • Establish foundational data architecture and operational best practices to support future data engineering and AI initiatives
  • Evaluate and implement tools and technologies to improve GTM efficiency and scalability
  • Partner closely with executive leadership to deliver insights that support strategic decision-making
  • Maintain and optimize GTM tools, including platforms such as Apollo, Zoom Info, and CRM systems
  • Ensure data integrity, process consistency, and operational alignment across all revenue-generating functions
  • Serve as a strategic thought partner while remaining highly hands-on in systems execution and operational problem solving
Qualifications
  • 5+ years of experience in Revenue Operations, GTM Operations, Sales Operations, GTM Engineering, or similar operational leadership roles
  • Strong experience building and optimizing CRM systems and GTM infrastructure within a SaaS environment
  • Proven ability to automate workflows and improve operational scalability
  • Experience with revenue forecasting, dashboard development, reporting, and commercial analytics
  • Strong understanding of GTM metrics including pipeline performance, conversion rates, forecasting, territory planning, and compensation structures
  • Experience working within startup and/or high-growth SaaS environments strongly preferred
  • Hands-on experience with platforms such as Apollo, Zoom Info, CRM systems, and other GTM technologies
  • Ability to bridge strategic Rev Ops leadership with technical systems execution AI fluency and comfort leveraging AI-driven tools and workflows preferred, though prior AI company experience is not required
  • Strong analytical, problem-solving, and cross-functional communication skills
  • Highly proactive, adaptable, and comfortable operating in fast-paced, evolving environments,
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