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
Other open roles at Evergrid(6)
Key team members
Don Allen
Zev R.
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