Founding GTM Engineer at Evergrid.ai in New York, NY

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, http://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, http://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