RevOps Lead: GTM Systems & Forecasting

InstaLILY AI; Northern, New York (KY, NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K

Lunch reimbursement (in-office)

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. The role will scale the data model, forecast, and processes as the team grows, ensuring reliable, auditable metrics for leadership and investors.

You will own end-to-end revenue operations, including territory and quota modeling, reporting, and system integrations. Prior AI-focused experience is not required, but curiosity to automate and improve is essential.

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 with long cycles, multi-stakeholder deals.
• An instinct for what to automate and what to trust to automation.

Responsibilities

• Own our revenue source of truth end to end, plus the integrations across our GTM stack.
• Build the territory, quota, and capacity models the sales team runs on.
• Produce the forecasting and reporting our leadership, board, and investors rely on.
• Design lead routing, qualification gates, pipeline hygiene, and the deal desk.
• Own data integrity and attribution, so channel and investment decisions rest on something real.
• Run commissions alongside Finance.
• Be the first call for reps on process, data, and deal questions, and build the answers that keep that load flat as the team grows.

Skills

HubSpot admin

Sales Ops

GTM Ops

CRM data integrity

Tools

Salesforce

Job description

InstaLILY AI is hiring a Revenue Operations Lead to build the operating system behind our go-to-market engine. The role will scale the data model, forecast, and processes as the team grows, ensuring reliable, auditable metrics for leadership and investors.

You will own end-to-end revenue operations, including territory and quota modeling, reporting, and system integrations. Prior AI-focused experience is not required, but curiosity to automate and improve is essential.