Director, Revenue Operations

Runpod, Inc.

6h•$180,000 - $250,000•Remote

About The Position

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.

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

Nice To Haves

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

Responsibilities

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
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
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
Provide strategic oversight for Deal Desk and Enablement functions
Partner on CPQ implementation, onboarding infrastructure, and GTM playbook development
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
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