RevOps Leader (AI)

Location: Full-time, in-person in New York City, United States

Base salary: $140K–$220K annually, depending on experience. Additional cash bonus and equity are available.

Company

hirify.global is building an AI-native continuous intelligence platform that automates primary research for enterprises, investment firms, and asset managers.

What you will do

• Own the HubSpot instance end to end, including object architecture, pipelines, properties, permissions, workflows, integrations, governance, and administration.
• Build forecasting, qualified-pipeline definitions, coverage ratios, and leadership reporting across the full funnel from first touch through renewal.
• Establish revenue data standards covering deduplication, enrichment, field hygiene, and audit cadences.
• Partner with sales and marketing on attribution, campaign and channel tracking, and lead-source quality.
• Design lead-to-close, onboarding, and renewal processes with clean handoffs across sales, post-sales, and finance.
• Build rep ramp and enablement infrastructure, along with quota, compensation, and territory mechanics as the sales team grows from 4 to 30 reps.

Requirements

• 5–8+ years of revenue operations or sales operations experience at a high-growth B2B company.
• Hands-on experience owning and architecting HubSpot, including pipelines, properties, automations, and reporting.
• Ability to build forecast models, analyze funnel data, and turn findings into actionable recommendations for leadership.
• Strong data governance mindset and the ability to challenge existing processes with evidence.
• Daily practical fluency with AI, including agents, MCP, and skill files.
• Ability to work independently in an ambiguous, fast-paced environment and communicate proactively.

Nice to have

• Built revenue operations from scratch at a startup.
• Led a HubSpot build-out, migration, or re-architecture.
• Partnered with a technical GTM or growth engineering function.

Culture & Benefits

• Health coverage, flexible PTO, and paid holidays.
• Meaningful early-stage equity grant tied to company growth.
• High-accountability environment focused on quality and impact.
• High agency, rapid decision-making, and ownership over how work gets done.
• Collaborative early-stage team applying AI to the market research industry.