Head of Revenue Operations

New

100% remote work environment for US-based candidates.Full-TimeDirector

Salary not disclosed

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Job Details

Experience: 5–8+ years of experience in Revenue Operations, Sales Operations, GTM Systems, or Revenue Enablement.
Required Skills: SQLBusiness IntelligenceSalesforceHubSpot

Bring 5–8+ years of experience in Revenue Operations, Sales Operations, GTM Systems, or Revenue Enablement.
Have experience leading RevOps teams or major operational initiatives in high-growth organizations.
Have deep expertise configuring and managing HubSpot or Salesforce and understanding revenue technology architecture.
Have experience with billing and subscription management platforms such as Chargebee or similar solutions.
Have redesigned go-to-market processes, including sales forecasting models and cross-functional customer handoffs.
Have hands-on experience implementing automation tools and AI-powered solutions.
Have experience owning, measuring, or influencing employee onboarding, enablement, and new-hire ramp time.
Be able to query raw data, build forecasting models, and develop executive-level dashboards.
Have proficiency in SQL, business intelligence tools, or advanced analytics platforms.
Be able to evaluate, consolidate, and optimize complex business and GTM technology stacks.
Have communication and stakeholder management skills, including presenting recommendations to executive leadership.
Bring leadership, coaching, and team development capabilities.

Lead the development of a scalable Revenue Operations function and manage two direct reports.
Own the architecture, administration, and optimization of HubSpot, Chargebee, and the broader revenue technology ecosystem.
Evaluate, consolidate, and optimize software platforms before introducing additional tools.
Design automation workflows and deploy AI-powered solutions across Sales, Marketing, Customer Success, Finance, and Partnerships.
Redesign the Sales-to-Onboarding handoff and improve customer context and data transfer.
Rebuild revenue forecasting models and develop executive dashboards, predictive analytics, and automated reporting.
Develop customer health scoring and predictive signals to help Customer Success teams prioritize engagement.
Own new-hire onboarding, enablement, ramp-time performance, and automated reporting.
Analyze funnel performance and improve conversion, speed-to-lead, expansion, and retention.
Establish data governance standards and support product-led growth and post-acquisition integration.

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