
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed Round on 2024-05
Artificial Intelligence • Cloud Computing • SaaS
RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.
🕒 May 14
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
💰 Seed Round on 2024-05
Artificial Intelligence • Cloud Computing • SaaS
RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.
• 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
• 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
• 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
Apply Now🕒 May 14
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