Director, Revenue Operations

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 direct …