Revenue Operations Manager

Role Overview

• Own and optimize revenue operations across the full customer lifecycle, from lead generation and sales through onboarding, customer success, and renewals, aligning systems, data, and workflows for scalability and efficiency.
• Lead delivery of data for revenue forecasting, reporting, and performance analytics, delivering clear visibility into pipeline health, bookings, expansion, and retention while equipping leadership with actionable insights for decision-making.
• Design and scale cross-functional operational infrastructure across Sales, Marketing, Customer Operations, Customer Success, Support, and Order Management, ensuring seamless processes, system integrations, and data flow across teams.
• Serve as a shared services partner to all commercial and customer-facing teams driving operational excellence across deal desk, quote-to-cash, and customer lifecycle processes, identifying automation opportunities and leveraging data and AI-driven insights to improve deal velocity, expansion opportunities, operational efficiency, and overall commercial performance.
• Evaluate, implement, and manage AI-powered revenue tools across the GTM and customer stack, including conversational intelligence (e.g., Gong), AI forecasting (e.g., Clari, SFDC Advanced Forecasting), prospecting/enrichment automation (e.g., UserGems, ZoomInfo) to improve deal execution and customer health visibility.
• Build AI-driven workflow automations that reduce manual overhead and improve operational discipline across commercial and customer teams (e.g., lead routing, pipeline hygiene, renewal risk signals, escalation triggers, and forecast rollups).
• Own GTM and customer data intelligence, integrating intent data, enrichment, product usage signals, and AI-scored insights to prioritize pipeline, expansion, and retention opportunities.
• Leverage AI copilots and agents to enhance analysis, surfacing patterns in pipeline performance, churn risk, and expansion signals that inform strategic decision-making.
• Drive AI adoption across Sales, Customer Success, Order Management, and Support, developing playbooks, enablement, and operating frameworks to embed AI in workflows.

Requirements

• 4+ years of experience in Revenue Operations, preferably at a high-growth SaaS company, with exposure to both pre
• and post-sale operations (Sales, CS, Support, or Order Management).
• Demonstrated experience working with AI-powered GTM tools (e.g., Gong, Clari, Clay, ZoomInfo, Outreach/Salesloft, or equivalents).
• Proven ability to leverage AI tools and automation platforms (e.g., Workato, Zapier, n8n, or Salesforce Flow/Agentforce) to build or improve operational workflows without heavy engineering support.
• Working knowledge of prompt engineering
• ability to craft effective inputs for LLM-based tools to generate analysis, reports, playbooks, or content.
• 2+ years of Salesforce experience as a power user or business-side owner, with the ability to write reports, manage views, and partner effectively with technical admins (declarative development experience a plus, but not the focus of this role).
• Strong expertise in forecasting, reporting, and analytics across the full revenue lifecycle (pipeline, bookings, renewals, NRR/GRR), with proficiency in BI tools such as Tableau, Looker, Power BI, Einstein Analytics, or Hex.
• Deep knowledge of Sales Cloud and the broader GTM and customer tech stack.
• Experience managing and evaluating 3rd-party SaaS tool integrations.
• Strong analytical and problem-solving skills, with a structured, data-driven approach.
• Excellent communication skills, with the ability to partner with executives and cross-functional teams spanning both commercial and customer-facing functions.
• Experience leading change management initiatives and enabling teams on new tools and processes.
• Strong project management skills, including experience managing system implementations and cross-functional workstreams.
• Passion for driving automation and improving real-time decision-making through technology
• and a genuine curiosity about how AI is reshaping the revenue function.

Tech Stack

• Cloud
• SFDC
• Tableau

Benefits

• equity
• benefits for all team members