Revenue Ops Lead: AI-Driven GTM & Equity Options

InstaLILY AI; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K

Lunch reimbursement

Wellbeing Stipend

Parental leave

PTO

US Federal holidays

Job summary

InstaLILY AI is hiring a Revenue Operations Lead to build the operating system behind our go-to-market engine. You will own the revenue data, forecast, and processes that scale with a fast-growing sales team across multiple regions and customers.

You will design territory models, quota plans, and pipeline governance, while ensuring data integrity and actionable analytics for executives and investors. This role emphasizes hands-on execution with AI-enabled operations.

Qualifications

• 4 to 8 years in RevOps, Sales Ops, or GTM Ops at a high-growth B2B company.
• Hands-on HubSpot or Salesforce administration experience.
• Enterprise sales motion experience with long cycles and multi-stakeholder deals.
• Ability to design scalable processes that perform under 4x headcount.

Responsibilities

• Own our revenue source of truth end to end, plus GTM stack integrations.
• Build territory, quota, and capacity models the sales team uses.
• Produce forecasting and reporting for leadership, board, and investors.
• Design lead routing, qualification gates, pipeline hygiene, and the deal desk.
• Own data integrity and attribution to inform channel and investment decisions.
• Be the first call for reps on process, data, and deal questions as the team grows.

Skills

RevOps experience

Salesforce admin

HubSpot admin

Automation mindset

Enterprise sales

Tools

Salesforce

HubSpot

Job description

InstaLILY AI is hiring a Revenue Operations Lead to build the operating system behind our go-to-market engine. You will own the revenue data, forecast, and processes that scale with a fast-growing sales team across multiple regions and customers.

You will design territory models, quota plans, and pipeline governance, while ensuring data integrity and actionable analytics for executives and investors. This role emphasizes hands-on execution with AI-enabled operations.