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Founding Revenue Operations Lead

Job in New York, New York County, New York, 10261, USA
Listing for: Clarasight
Full Time position
Listed on 2026-09-08
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Engineering, Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Us

Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.

About You

You are a systems thinker who gets excited by clean data, well-designed processes, and tools that actually talk to each other. You've spent enough time in Rev Ops to know what “good” looks like, but you're still hands-on enough to build it yourself. You're equally comfortable building a forecast model in a spreadsheet, debugging a broken Hubspot integration, working in Claude Code, and walking a sales leader through a comp plan redesign.

You thrive in environments where you own the entire stack and the buck stops with you.

About the Role

As the founding Revenue Operations hire at Clarasight, you'll architect the systems, processes, and data infrastructure that power our go-to-market engine. This is a true 0-to-1 role: you'll own Hubspot, the full GTM tech stack, our forecasting cadence, and compensation design from day one. You'll be the connective tissue between Sales, CS, Finance, and Leadership — ensuring every revenue decision is grounded in clean data and defensible logic.

The decisions you make and the foundation you lay will shape how we scale revenue for years to come.

Key Responsibilities

Sales Forecasting & Reporting

  • Build and maintain a reliable forecast model - bottoms-up pipeline to board-level view — sourced from clean Hubspot data.

  • Own the weekly forecast cadence with the sales team; coach reps on deal hygiene that feeds accurate data upstream.

  • 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 (sequences, Granola/Gong call insights, Sales Navigator activity) to enrich pipeline analysis and identify patterns.

  • Partner with Finance to align revenue reporting and ensure a single source of truth across systems.

Hubspot & AI GTM Tech Stack Ownership
Hubspot is the foundation, but this is a full-stack ownership role. You'll be accountable for every tool in the revenue team's arsenal and the integrations that tie them together.

  • Partner with our AI Automation Engineer to integrate the entire GTM stack, ultimately delivering speed, accuracy, and insights to Leadership and the Sales team.

  • Own Hubspot end-to-end: data model, object architecture, workflow automation, permissions, and hygiene. You build it, you maintain it, you improve it.

  • Manage and optimize the full GTM tech stack including own every integration between tools

  • Maintain a living map of the tech stack: what each tool does, who owns it, what it costs, and how it connects. Run a regular audit to eliminate redundancy and identify gaps.

  • Lead all tool procurement, renewals, and vendor relationships - evaluate new tools with a skeptic's eye and a clear ROI framework.

  • Build and enforce data governance standards across the stack: field naming conventions, lead routing logic, deduplication rules, and enrichment workflows.

  • Drive adoption across the revenue team; build the training, documentation, and change management so tools actually get used the way they were designed.

Compensation & Quota Planning

  • Design and administer Sales and CS commission plans that incentivize the right behaviors at this stage of the company.

  • Run the annual and mid-year quota-setting process, grounded in market data, attainment history, and pipeline capacity models.

  • Build the infrastructure to calculate, verify, and communicate commissions accurately and on time - ideally sourced directly from Salesforce data.

You'll Be a Great Fit If You…
  • Have 4–8 years of Rev Ops, Sales Ops, or GTM Ops experience — enough to have seen what good looks like, not so much that you've forgotten how to do it yourself.

  • Have proven experience managing a multi-tool GTM stack and owning integrations between them.

  • Are opinionated about tool selection
    : you have a framework for evaluating new software and a healthy skepticism for shiny objects.

  • Have…

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