Head Of Revenue Operations

TL;DR

Head of Revenue Operations: Owns and scales the Revenue Operations function, partnering with sales, marketing, finance, and executive leadership to maximize business growth. Focus on setting strategy, targets, and reporting, building systems, processes, and AI-native teams for a high-performing revenue engine. The role is onsite in NYC.

Location: Onsite at our NYC office in Astor Place

Salary: $170,000–$215,000 + Variable Bonus + Equity

Company

hirify.global is the live data layer for apps and AI agents that transforms operational data into real-time business insights via SQL.

What you will do

• Lead annual and mid-year GTM planning, including capacity modeling and sales targets.
• Own compensation and commissions design and territories.
• Lead forecasting and maintain visibility into deal status and pipeline health.
• Partner with sales and marketing leadership to refine ICPs and target account strategies.
• Design and implement AI-enabled sales processes for outbound, reporting, and pipeline management.
• Build, manage, and grow a scalable, AI-native team.

Requirements

• 6+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy roles at high-growth B2B companies.
• Experience in a top-down enterprise software sales motion selling to senior executives at larger enterprises.
• Proven experience managing people and growing teams.
• Impeccable written and verbal communication.
• Proven track record implementing and overseeing teams running Salesforce, HubSpot, Clay, LinkedIn Sales Navigator, Gong, Outreach, Chili Piper, Apollo, and similar GTM systems.
• Strong analytical and systems-thinking mindset combined with proven experience working effectively with sales teams.

Nice to have

• Experience with our specific tech stack (mentioned above).
• Experience in infrastructure, data, database or developer-focused software companies.
• Experience with data analysis using SQL.

Culture & Benefits

• Dynamic team with diverse perspectives.
• Equity included.
• Building the core data infrastructure of the AI era.