
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🔧 Hardware
💰 $300M Private Equity Round on 2025-08
Artificial Intelligence • SaaS • Hardware
Massed Compute is a cloud infrastructure provider focused on high-performance GPU compute for AI, machine learning, VFX rendering, scientific simulation, and large-scale data analysis. It offers on-demand hourly GPUs, bare-metal physical servers, multi-node GPU clusters, and a programmatic API (MCP) to automate provisioning. The company provides preinstalled CUDA images, one-click VDI, enterprise NVIDIA SKUs, and compliance assurances (SOC 2, GDPR, HIPAA) while owning its hardware and positioning itself as an NVIDIA Preferred Partner for low-latency, enterprise-grade GPU access.
🔥 0 minutes ago
Where this job comes from
Posted on Massed Compute's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
🔧 Hardware
💰 $300M Private Equity Round on 2025-08
Artificial Intelligence • SaaS • Hardware
Massed Compute is a cloud infrastructure provider focused on high-performance GPU compute for AI, machine learning, VFX rendering, scientific simulation, and large-scale data analysis. It offers on-demand hourly GPUs, bare-metal physical servers, multi-node GPU clusters, and a programmatic API (MCP) to automate provisioning. The company provides preinstalled CUDA images, one-click VDI, enterprise NVIDIA SKUs, and compliance assurances (SOC 2, GDPR, HIPAA) while owning its hardware and positioning itself as an NVIDIA Preferred Partner for low-latency, enterprise-grade GPU access.
• Build pipeline, conduct customer discovery, structure commercial proposals, negotiate, and close revenue • Identify high-value customer segments, workloads, use cases, and repeatable product-market fit • Define ICP, segmentation, positioning, pricing, and sales playbooks • Establish qualification, deal stages, CRM discipline, pipeline management, forecasting, and operating metrics • Win lighthouse customers and generate credibility through customer brands and success stories • Recruit initial GTM hires and establish talent standards, cadence, incentives, and culture • Build demand generation through outbound, content, partnerships, events, and effective channels • Convert customer conversations, competitive intelligence, and pipeline data into input for product roadmap, pricing, capacity planning, and investment decisions • Establish differentiated AI infrastructure positioning and a coherent brand narrative • Build a repeatable commercial engine over the first 8–12 months
• Personally sold complex, technical products and can point to meaningful revenue helped create • Helped build or materially improve a GTM motion at a high-growth technology company • Ability to move between customer conversations, pricing models, CRM pipeline reviews, and product discussions • Analytical rigor regarding segmentation, pricing, funnel economics, and resource allocation • Understanding of selling products where technical requirements, infrastructure availability, economics, and customer timelines interact • Strong product instincts and ability to translate customer needs into actionable feedback • Aggressive use of AI in own work and desire to build an AI-native GTM organization • Strong judgment and comfort operating with little structure while creating structure • Strong commercial mindset and financial fluency across contracts, pricing, unit economics, and tradeoffs • Typically 10+ years of professional experience, including meaningful experience in GTM, sales, revenue operations, marketing, or customer success at a high-growth technology company • Experience at a high-growth technology company, rapidly scaling startup, or similarly demanding environment • Experience working with highly technical products, ideally cloud infrastructure, developer tools, AI, or adjacent markets • Bachelor's degree or equivalent combination of education, training, and experience • Understanding of the compute landscape and broader AI infrastructure build-out • Experience selling cloud infrastructure, compute, developer infrastructure, or other technical products to sophisticated buyers • Fluency with AI tools such as Claude Cowork, Claude Code, and Codex • Experience building AI-enabled GTM workflows or automating part of the commercial stack • Background in consulting, venture capital, or private equity paired with evidence of operating
• Market competitive compensation • Remote-first work arrangement • Stipend for home office setup • Additional opportunities to connect with peers during periodic in-person team gatherings • Flexible PTO policy • 100% coverage of medical, dental, and vision insurance for employees • 30% coverage of premiums for dependents • Tax-advantaged Flexible Spending Account • Company-facilitated 401(k) retirement plan • Parental leave for all new parents
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