Evergrid

Location New York City or U.S Employment Type Full-time Location Type On-site, Hybrid, or Remote Department Go-To-Market (GTM) Compensation • Competitive base salary • Performance-based commission • Equity About Evergrid Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud. We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure. We care deeply about outcomes, ownership, and building durable systems and long-term partnerships. The Role As Senior Account Executive, Private Clusters, you will own the full commercial sales motion for Evergrid — from first outreach through close and expansion. This is a foundational role. As one of the first dedicated sales hires, you will work directly with the founders and engineering leadership to bring Evergrid to market. You’ll land early customers, define repeatable sales processes, and help build a scalable go-to-market engine for a highly technical infrastructure product. You will sell to technical buyers and executive decision-makers at innovative AI-driven organizations, navigating complex, consultative sales cycles. What You’ll Do - Prospect, qualify, and close new business across mid-market and enterprise customers - Own the full sales lifecycle: outbound prospecting, discovery, technical demos, negotiations, close, renewals, and expansion - Meet and exceed quarterly and annual revenue targets - Build trusted relationships with technical stakeholders and executive buyers through consultative, value-driven conversations - Partner closely with engineering and product teams to navigate complex, technical sales cycles - Help define and refine Evergrid’s go-to-market strategy, sales playbooks, pipeline management, and forecasting as we scale - Manage customer relationships post-sale to drive long-term value, renewals, and expansion opportunities - Collaborate directly with founders on early customer engagements, strategic accounts, and high-impact deals - Provide structured feedback from the field to inform product roadmap, positioning, and messaging What We’re Looking For - 7–15+ years of full-cycle B2B sales experience, ideally selling technical, developer-facing, or infrastructure products - Proven success selling to technical audiences (AI, ML, data, platform, or engineering teams) - Strong communication skills across in-person, virtual, and written channels - Comfortable going deep on product details and holding credible technical conversations with engineers and AI teams - Highly motivated, self-directed, and driven to exceed ambitious revenue goals - Thrives in early-stage environments where processes are still being built and priorities evolve - Strong ownership mindset — you take responsibility across the entire sales motion - Collaborative, low-ego approach that elevates the broader team How We Work Evergrid is a high-bar, high-trust environment. We value clear thinking, direct communication, and people who follow through. You’ll have meaningful ownership, close access to leadership, and the opportunity to shape how the company sells — not just execute an existing playbook. The pace is fast. The expectations are high. The impact is real.

Founding GTM Engineer Location New York City or U.S. Employment Type Full-time Location Type On-site, Hybrid, or Remote Department Revenue & GTM Engineering Compensation • Competitive base salary • Performance-based commission • Equity About Evergrid Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud. We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure. We care deeply about outcomes, ownership, and building durable systems and long-term partnerships. The Role As a Founding GTM Engineer, you will help design and implement go-to-market systems to win mindshare and grow our top-of-funnel. This role is focused on building simple, high-impact workflows that scale. You’ll be expected to generate high-impact ideas and quickly implement working GTM motions. We value speed, clarity, and leverage — lightweight systems that work today and can scale tomorrow without adding unnecessary complexity. If you enjoy moving fast, testing ideas in the real world, and turning small systems into meaningful impact, this role is for you. What You’ll Do Build modern GTM Systems - Design and build on Evergrid’s go-to-market and sales engineering workflows - Build simple automations across HubSpot, Make.com, Clay, and internal tools - Prototype new outbound, inbound, and qualification workflows - Replace manual sales work with creative automation and AI-driven processes - Test GTM ideas quickly and scale what works AI-Driven Sales Acceleration - Use modern AI models (ChatGPT, Grok, Gemini, and others) as building blocks - Create workflows for prospect research, personalization, account mapping, and follow-up - Design AI-assisted systems for founder-led sales and enterprise deal support - Explore agent-style workflows to reduce time-to-meeting and time-to-close Sales Engineering & Deal Support - Support live deals with technical context and clear customer-facing explanations - Translate GPU and cloud infrastructure concepts into simple, compelling narratives - Assist in pilots, proofs of concept, and custom enterprise deal flows - Act as a bridge between sales, founders, and infrastructure teams Learning, Iteration & Optimization - Identify friction in the sales process and design systems to remove it - Track what’s working and iterate based on real results - Build feedback loops between GTM data and execution - Document systems so successful experiments become repeatable What We’re Looking For - Strong systems thinker with a bias toward experimentation and execution. - Comfort operating in ambiguity and learning quickly - Experience with automation platforms (HubSpot, Make.com, Zapier, APIs, or similar) - Heavy user of AI tools (ChatGPT, Grok, Gemini) to accelerate ideation and execution - Technical curiosity and ability to learn complex products - Clear written and verbal communication - High ownership mindset Nice to Have - Exposure to enterprise or technical sales environments - Experience with enterprise & AI-Native cloud sales, Neocloud, GPU Cluster buyers - Background in startups or fast-moving environments - Basic scripting or API experience

Location New York City or Remote Employment Type Full-time Location Type On-site, Hybrid, or Remote Department Product & Engineering Compensation • Competitive base salary • Equity About Evergrid Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud. We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure. We care deeply about outcomes, ownership, and building durable systems and long-term partnerships. The Role As a Senior Frontend Engineer (AI Cloud Platform), you will architect the intelligent control plane for Evergrid’s Neocloud. You will be responsible for the "Service Portal" and "Platform Admin Console," transforming complex infrastructure data into a seamless, intuitive user experience. This role sits at the intersection of high-performance computing and modern product design. You will build the interface that allows researchers and engineers to provision massive GPU clusters, manage distributed training jobs, and visualize the real-time pulse of their AI infrastructure. We are looking for a product-minded engineer who can translate kernel-level telemetry and massive scale billing data into a clean, "AI-Native" console that feels as responsive as a consumer app. What You’ll Do Core Console Architecture - Architect and build the unified web console that serves as the "Mission Control" for our users, enabling them to manage tenancy, identity, and compute resources from a single pane of glass. - Develop complex provisioning workflows that simplify the deployment of high-density resources (e.g., bare metal MI300x clusters, H100 nodes) into single-click experiences. - Implement real-time state management to handle asynchronous infrastructure events, ensuring the UI always reflects the true state of provisioning, scaling, and recovery. Data Visualization & Analytics - Build high-performance dashboards to visualize granular GPU usage metrics, thermal health, and cluster load without performance lag. - Create interactive financial visualizations for the "Revenue Center," allowing users to drill down into compute, storage, and network costs across different zones and regions. - Design visual topologies that show users exactly how their workloads are distributed across nodes, racks, and high-performance interconnects. Interactive Compute Environments - Engineer the frontend experience for "Notebooks as a Service," creating a robust wrapper for launching and managing data science environments directly in the browser. - Build low-latency, web-based interfaces for "Deployment as a Service," simplifying the complexity of container image selection, replica scaling, and inference configuration. - Optimize the UI for high-frequency updates, ensuring that "AI Services" (like model training progress or inference latency) are displayed in real-time. What We’re Looking For - 5+ years of experience building complex, data-heavy single-page applications (SPAs) using React and TypeScript. - Deep proficiency with Next.js for handling hybrid rendering strategies (SSR/CSR) and performance optimization. - Strong skills in data visualization using libraries like D3.js, Recharts, or Visx to render complex timeseries data and resource topologies. - Experience building "Developer Tools" or infrastructure dashboards—you understand the difference between a marketing site and a mission-critical console. - Use of AI in your workflow to accelerate prototyping and development. - A "User-First" approach to complexity: You can take intricate concepts like "Virtual GPUs" and "Kubernetes Schedulers" and abstract them into simple, elegant UI components. Nice to Have - Experience designing UIs for cloud platforms (AWS, GCP, Azure) or ML Ops platforms (Weights & Biases, Databricks). - Familiarity with the Jupyter ecosystem or building IDE-like experiences in the browser. - Basic understanding of Linux/Networking concepts, helping you better empathize with the workflows of our HPC and AI research user base.