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: https://www.runpod.io/blog/one-million-developers.
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, systems architecture, compensation planning, and operational scalability across both PLG and enterprise sales motions. This role will lead the Revenue Operations function while overseeing Deal Desk and Enablement as those functions scale.
The Director of Revenue Operations will own the systems, data infrastructure, forecasting processes, and operational workflows that power Runpod’s revenue organization. This role requires both strategic leadership and hands on operational execution. The ideal candidate will build scalable revenue infrastructure while balancing operational rigor with the speed and flexibility required in a high growth environment.
You will define the operational foundation that supports Runpod’s enterprise revenue growth. Your work will directly influence forecasting accuracy, GTM scalability, executive decision making, and operational efficiency 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
