Founding Revenue Ops Leader & GTM Systems Architect

Clarasight; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Clarasight in New York, NY is seeking the founding Revenue Operations hire to architect the GTM tech stack, data, and compensation design from day one.

You'll own Hubspot, the forecasting cadence, and cross-functional alignment between Sales, CS, Finance, and Leadership to scale revenue with clean data and defensible logic.

You'll partner with an AI Automation Engineer to deliver speed and insights, and you'll lead tool procurement, governance, and adoption across the revenue team.

Qualifications

• 4–8 years of RevOps, Sales Ops, or GTM Ops experience.
• Experience managing a multi-tool GTM stack and owning integrations between them.
• Framework for evaluating new software and a healthy skepticism for shiny objects.

Responsibilities

• Build and maintain a reliable forecast model sourced from Hubspot data.
• Own the weekly forecast cadence with the sales team.
• Design and publish a GTM metrics framework: pipeline coverage, conversion rates by stage, velocity, win/loss analysis, and rep productivity.
• Leverage data from across the stack to enrich pipeline analysis and identify patterns.
• Partner with Finance to align revenue reporting and ensure a single source of truth across systems.
• Hubspot end-to-end ownership: data model, object architecture, workflow automation, permissions, and hygiene.
• Lead tool procurement, renewals, and vendor relationships with ROI evaluation.

Skills

RevOps experience

Forecasting / analytics

Cross-functional collaboration

Data-driven decision making

Stakeholder management

Startup mindset

Tools

Hubspot

Sales Navigator

Gong

Granola

Job description

Clarasight in New York, NY is seeking the founding Revenue Operations hire to architect the GTM tech stack, data, and compensation design from day one.

You'll own Hubspot, the forecasting cadence, and cross-functional alignment between Sales, CS, Finance, and Leadership to scale revenue with clean data and defensible logic.

You'll partner with an AI Automation Engineer to deliver speed and insights, and you'll lead tool procurement, governance, and adoption across the revenue team.