Director OF Revenue Management

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: . We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. The Revenue Operations team builds and manages the operational systems that connect Sales, Marketing,and Customer Success into a unified revenue engine. The team focuses on forecasting, reporting, systemsarchitecture, compensation planning, and operational scalability across both PLG and enterprise salesmotions.This role will lead the Revenue Operations function while overseeing Deal Desk and Enablement as thosefunctions scale. The Director of Revenue Operations will own the systems, data infrastructure, forecasting processes, andoperational workflows that power Runpod’s revenue organization. This role requires both strategicleadership and hands on operational execution.The ideal candidate will build scalable revenue infrastructure while balancing operational rigor with thespeed and flexibility required in a high growth environment. You will define the operational foundation that supports Runpod’s enterprise revenue growth. Your workwill directly influence forecasting accuracy, GTM scalability, executive decision making, and operationalefficiency across Sales, Marketing, and Customer Success.You will partner closely with executive leadership and help shape how Runpod scales from $120M ARR into its next phase of growth. Responsibilities: Revenue Systems and Data Infrastructure Own CRM architecture, data governance, and GTM systems across Sales, Marketing, and Customer Success Build scalable analytics frameworks covering lead generation, pipeline conversion, retention, and expansion Maintain revenue reporting models supporting ARR, MRR, NRR, CAC, LTV, and forecasting metrics Evaluate and implement revenue technology systems including CRM, CPQ, BI, and forecasting tools Forecasting and Pipeline Management Design and manage revenue forecasting processes across enterprise and PLG motions Lead weekly pipeline reviews and establish CRM hygiene standards Build dashboards and reporting infrastructure for executive and board level visibility Compensation, Quota, and Territory Design Partner with Finance and executive leadership on compensation planning and territory design Build scenario planning models for quota capacity and headcount forecasting Ensure compensation plans and payouts are accurate and transparent Deal Desk and Enablement Leadership Provide strategic oversight for Deal Desk and Enablement functions Partner on CPQ implementation, onboarding infrastructure, and GTM playbook development Cross Functional Alignment Serve as the operational bridge between Sales, Marketing, Finance, Legal, and Customer Success Partner with Finance on revenue recognition and ARR reporting standards Partner with Legal on contract workflows and governance AI Powered Operations Implement AI tools and workflow automation across Revenue Operations Evaluate AI assisted forecasting, pipeline scoring, and automation platforms Build scalable operational systems that improve efficiency without requiring proportional headcount growth Requirements: 8 to 12 years of experience in Revenue Operations, Sales Operations, or GTM strategy roles At least 3 years in a senior or director level leadership role Experience building Revenue Operations infrastructure in high growth SaaS, PaaS, or infrastructure companies Deep CRM expertise with Salesforce preferred Strong understanding of forecasting, revenue metrics, and GTM analytics Experience supporting both PLG and enterprise sales motions Experience designing compensation plans, quota frameworks, and territory models Strong cross functional leadership and communication skills Experience implementing operational structure in fast growing environments Active use of AI tools for operational efficiency and forecasting workflows Successful completion of a background check Preferred: Experience in cloud infrastructure, AI infrastructure, developer tools, or ML platforms Experience with usage based pricing and consumption models Experience implementing CRM, CPQ, or forecasting platforms Experience supporting technical GTM organizations selling to enterprise buyers Experience in high growth startup or scaleup environments What You’ll Receive: The competitive base pay for this position ranges from $180,000 - $250,000. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. Generous medical, dental & vision plans Flexible PTO- take the time you need to recharge Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas