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Finance Manager, Sales & GTM - Runpod

About Runpod

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.

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 Role

The Finance team at Runpod owns the financial infrastructure that lets the company scale with confidence. This role is our dedicated Finance seat for Sales & GTM: you'll bring analytical rigor to how we forecast pipeline, price deals, and measure the return on our go-to-market spend, with Sales and Marketing as your primary stakeholders. As we scale from our Series A into the next phase of growth, we're building that decision-support layer from the ground up. You'll work directly with Runpod's Director of Finance and with leaders across Sales and Marketing in a fast-moving, remote-first environment where ownership and precision matter more than hierarchy.

We're looking for a Finance Manager, Sales & GTM to build and own the analytics behind Runpod's revenue engine. This is a hands-on, builder role for someone who wants to stand up processes from scratch rather than maintain an existing playbook. You'll own pipeline analytics and revenue projections, support the sales team with pricing guidance and deal modeling, administer our sales commission plan, and analyze the return on our marketing investments.

Responsibilities

  • Build and maintain pipeline analytics and revenue projection models, giving sales and executive leadership a real-time view of forecasted bookings and quota attainment.
  • Partner with the sales team to provide pricing guidance and deal modeling support on complex or non-standard deals.
  • Administer Runpod's sales commission plan, ensuring accurate, timely, and transparent commission calculations and payouts.
  • Analyze ROI on marketing spend, including CAC, payback period, and other unit economics, to inform budget allocation across channels.
  • Partner with Sales and Marketing to align on targets, metric definitions, and reporting standards.
  • Identify and implement improvements to sales and GTM reporting infrastructure and processes as the company scales.

Requirements

  • 4+ years of experience in finance, FP&A, or a related analytical role, with a strong foundation in financial modeling and forecasting.
  • Advanced proficiency in Excel/Google Sheets modeling, with experience working in CRM systems and BI tools.
  • Comfort driving ambiguous initiatives to completion with minimal supervision.
  • Strong negotiation and communication skills, with the ability to translate data into clear recommendations for business stakeholders.
  • Successful completion of a background check.
  • Eligible to work in the United States (no visa sponsorship available).

Preferred Qualifications

  • Experience in a high-growth startup or venture-backed technology company.
  • Experience administering a sales commission plan, including calculations, reconciliation, and dispute resolution.
  • Experience building pricing and deal models to support sales negotiations.
  • Experience analyzing marketing ROI and unit economics (CAC, payback period, LTV).
  • Working knowledge of US GAAP and financial operations.
  • Experience in the AI infrastructure, cloud, or data center industry.

What You'll Receive

  • Competitive base pay: $140,000 - $180,000 USD
  • Meaningful equity in a fast-growing company (stock options)
  • Generous medical, dental & vision plans
  • Flexible PTO
  • Remote-first work culture
  • $1,200 Home Office & Equipment Stipend

Timezone overlap

UTC-8–-5

Open to

US

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