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RunPod
Marketing & Sales 2h ago

Director of Sales, Americas

RunPod
United StatesUnited States
Full-time
300,000 USD - 400,000 USD
Lead/Manager

Job Description

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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.

You will lead Runpod's Americas sales team at a company growing quickly. We closed a $100M Series A in June 2026, serve more than one million developers, and run a hybrid go-to-market strategy that pairs product-led growth with direct sales. The team you lead is a mix of Account Executives and Account Managers, and it sits in a lean revenue organization alongside Forward Deployed Engineering, Marketing, Product, and Finance. Much of the operating model is still yours to build alongside a strong funnel to qualify and manage to maximize opportunity.

As Director of Sales, you are accountable for the Americas revenue number and the health of the regional pipeline. Reporting to the COO/CRO, you will lead and coach the team, stay close to the biggest deals, and serve as the in-region escalation point. This is a role for someone who can guide a rep through a tough forecast, hold their own with a customer's executives, and put repeatable process behind both.

You will shape how the Americas sells while the motion is still forming. Your job is to help a large developer base become contracted revenue and to make wins compound through expansion and renewal, and the model you set becomes what the rest of the region scales on.

Responsibilities:

  • Own the number and pipeline: Own the Americas number and pipeline end to end across new business, expansion, and renewals, with a forecast the executive team can plan against.

  • Lead a combined AE and AM team: Run deal and account reviews, coach in the moment, and raise the standard of how the team qualifies, closes, and grows accounts.

  • Lead the biggest deals: Stay hands-on in the largest, most complex opportunities, including multi-year GPU capacity commitments, and handle executive engagement and master service agreement negotiations with Legal and Finance.

  • Convert the hybrid funnel: Work with Marketing and Product to turn product-led signups, target accounts, and inbound demand into qualified pipeline.

  • Protect and grow the base: Give expansion and renewals the same rigor as new business, and mature how the region keeps and expands accounts.

  • Build the region: Own the Americas go-to-market plan (segmentation, territories, target accounts), and hire, ramp, and put in place the playbooks and cadence the team runs on.

  • Be the voice of the market: Bring competitive and customer insight from the field back to Product and Marketing.

  • Make the team more efficient with AI: Look for ways to apply AI across the sales workflow, from prospecting to forecasting, so the team gets more done.

Requirements:

  • 7+ years in quota-carrying B2B sales, including 3+ years as a frontline manager accountable for a team's number.

  • A verifiable track record of consistently meeting and exceeding sales targets.

  • Experience owning revenue beyond new business, including expansion and renewals.

  • The ability to sell to technical buyers such as ML engineers and data scientists as well as executive and economic buyers, with credible fluency in the AI and machine learning stack (for example, training versus inference).

  • Experience negotiating complex commercial agreements, including multi-year and master service agreements.

  • Strong CRM and sales enablement discipline and rigorous forecasting, plus a habit of using AI tools to work more efficiently.

  • A track record in an early-stage or high-growth environment where you built playbooks, and the self-direction to lead a remote team in a Slack-first, async culture.

  • Successful completion of a background check

Preferred:

  • Experience selling infrastructure or a consumption or usage-based model.

  • Experience selling GPU cloud, AI infrastructure, MLOps, or cloud compute.

  • Experience leading a combined new-business and account-management (expansion and renewal) motion.

  • Experience running a sales motion on top of a self-serve or product-led funnel.

What You'll Receive:

  • The competitive OTE for this position ranges from 300,000 USD and 400,000 USD. This is a mix of base plus commission. The base 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 — we cover 100% for all employees and partial for dependents.

  • 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.

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RunPod is a premier, enterprise-grade GPU cloud platform engineered to orchestrate massive-scale AI/ML compute ecosystems and intelligent, frictionless infrastructure-delivery workflows. Operating as a developer-first, high-throughput cloud hub, the company eliminates the operational friction of traditional, legacy-cloud providers—which frequently lock users into rigid, overpriced, and manual-heavy compute models—by seamlessly deploying advanced serverless GPU telemetry, rigorous multi-region container-orchestration architectures, and cohesive cross-platform scaling frameworks. Moving beyond rigid legacy VM-based paradigms, RunPod empowers over 500,000 global developers, researchers, and Fortune 500 enterprises to dynamically synchronize their training, fine-tuning, and inference pipelines with elite, autonomous, and cost-effective execution. Under the hood, their sophisticated proprietary data infrastructure natively manages complex multi-node cluster ingestion (A100/H100/H200 architectures), instantaneous autoscaling endpoint routing, and automated ephemeral-pod management, providing the necessary operational foundation to support everything from individual experimental models to large-scale, trillion-parameter distributed training. What sets RunPod apart is its uncompromising dedication to frictionless compute orchestration; by bridging the gap between highly technical, performance-intensive GPU-infrastructure demands and accessible, low-latency deployment interfaces, the platform empowers modern AI-native organizations to radically accelerate their production-AI velocity, eliminate prohibitive infrastructure-management bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed digital landscape.

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