Vice President of Revenue Operations

TL;DR Kharon is seeking a full-time Vice President of Revenue Operations. This is a hybrid position and requires frequent in-office attendance to one of our hub locations in either Denver, L.A., Washington D.C., or NYC.

We are a high-growth, fast-scaling B2B SaaS organization seeking an exceptional, highly technical VP of Revenue Operations. Reporting directly to the Head of Operations, you will lead a multidisciplinary team across Systems, Sales Operations, Deal Desk, and Marketing Operations, serving as the strategic engine supporting our global Sales, Marketing, and Customer Success teams.
This role requires a unique balance of executive leadership, deep technical muscle, and forward-thinking innovation. You are an operational leader who thrives on building structure, establishing repeatable analytics, and removing operational friction. As a core mandate, you will carry forward our vision for operational excellence by bridging cutting-edge AI architecture with daily GTM execution ensuring our Salesforce foundation, data warehouse, and agentic AI capabilities are perfectly aligned to drive predictable revenue growth.
Strategic RevOps Leadership & Operational Excellence

• Architect and execute the overarching Revenue Operations vision, shifting our GTM posture from reactive workflows to a structured, repeatable, and data-driven revenue engine.
• Lead, mentor, and scale a high-performing RevOps organization spanning Salesforce Infrastructure, Marketing Operations, Sales Operations, Deal Desk, and Partner Operations.
• Establish operational governance and delivery standards across RevOps leading rigorous backlog refinement, enforcing timeboxed execution, and managing cross-functional project prioritization via Jira to insulate technical builders and guarantee predictable, on-time delivery.
• Drive global alignment across Sales, Marketing, Customer Success, and Finance to optimize lead-to-cash workflows, refine rules of engagement, and lead global territory and headcount capacity planning to ensure balanced market coverage.

Next-Gen AI & Agentic Workflow Architecture

• Spearhead the strategic integration of AI across RevOps, evaluating and deploying agentic AI flows to automate GTM tasks, accelerate deal velocity, and enhance rep productivity.
• Partner closely with Product and Business Intelligence to continuously improve the AI agent built internally for Sales and other teams, keeping it grounded in real-world Sales and GTM use cases.
• Align our core Salesforce architecture with organizational AI and advanced analytics initiatives, ensuring high-fidelity data pipelines flow seamlessly between the CRM, data warehouse, and GTM applications.
• Keep a pulse on emerging AI/ML technologies to solve critical GTM challenges, including predictive lead/account scoring, dynamic account hierarchies, automated pipeline health analysis, and churn prevention.

Data Governance, Analytics & Predictable Reporting

• Establish data-driven intelligence as the core service RevOps provides upward to executive leadership, transforming raw system inputs into trusted, actionable insights for decision-making.
• Oversee data cleansing undertaken by the larger RevOps team to make key business insights from our data accessible, easily reportable, and legible to stakeholders.
• Empower frontline Sales Managers with real-time operational cockpits for rep coaching, conversion tracking, and deal inspection, while providing C-level leadership with reliable pipeline velocity and ARR health views.
• Lead routine performance reviews analyzing revenue trends, win/loss rates, sales cycles, pipeline coverage, CAC efficiency, and churn indicators to proactively highlight risks and expansion opportunities.
• Enforce strict reporting governance to guarantee 100% metric consistency across Tableau, Salesforce, and NetSuite, eliminating metric discrepancies.

Commercial Execution, Deal Desk & Channel Strategy

• Establish system governance across HubSpot and Salesforce, overseeing the Marketing Operations function to streamline lead lifecycle states, campaign attribution, and demand generation execution. Ensure practices are in place across the two systems that enable effortless reporting on the impact of marketing efforts on revenue.
• Oversee Deal Desk and CPQ governance to streamline contract approval cycles, standardize pricing/discounting structures, and enforce non-standard contract compliance.
• Support the expansion of our global reseller and partner channel, establishing clear cross-channel attribution, and prevent direct-to-reseller friction.
• Partner with Finance to optimize the lead-to-cash and billing lifecycle, ensuring seamless system integration between HubSpot, Salesforce, CPQ, and NetSuite.

• 10+ years of progressive experience in Revenue Operations, Sales Operations, or GTM Systems within a high-growth B2B SaaS environment (experience scaling through 200+ employees and $20M+ ARR required).
• Direct experience leading teams across Salesforce administration, sales enablement/ops, deal desk, marketing operations, and partner ecosystem support. Demonstrated experience collaborating cross-functionally with Product is a plus.
• Highly Technical Mindset: Hands-on foundational understanding of Salesforce architecture (Flows, objects, custom integrations), CPQ, NetSuite/ERP syncs, and data warehouse structures.
• AI & Agentic Systems Fluency: Demonstrated competency or active expertise in building and deploying AI-driven workflows (agentic flows, LLM prompt engineering for GTM, automated data enrichment pipelines, and conversational AI tools)
• Advanced Analytics: Deep mastery of revenue analytics, pipeline forecasting models, cohort analysis, and data visualization platforms.
• Exceptional communication and narrative skills. Able to articulate complex operational strategies clearly, steer executive conversations, and drive consensus to get critical decisions made across executive leadership.
• A builder-coach mentality who inspires operational excellence while fostering accountability and career growth across the RevOps team.