About the Position

GTM Engineer

Salary: $135k – $175k
Location: New York City, United States
Experience: 3 years
Employment Type: Full Time

About the Role

We're seeking a GTM Engineer to build AI-native systems for our GTM tech stack. You'll be the "First Customer," creating skills, developing dashboards, and improving workflows across our GTM tech stack.

Responsibilities

Build AI-native systems for our GTM tech stack
Create skills, develop dashboards, and improve workflows
Collaborate with various teams to power our top of funnel, onboarding, technical support, and account management / customer success engines

Requirements

Minimum qualifications:
- 3-5 years of experience in software engineering, solutions engineering, technical marketing, or growth
- Deep, hands-on fluency with AI: experience with LLMs, agents, and the modern AI stack
- A track record of shipping: side projects, internal tools, hackathon wins, open source
- Comfortable writing code and gluing systems together with APIs, webhooks, and automation platforms
- Experiment-minded: prefer shipping five scrappy prototypes over one perfect spec
- Business curiosity: understand why something drives revenue, not just how to build it
Preferred qualifications:
- Experience with the latest AI models and agent frameworks
- Experience with GTM tooling: Clay, HubSpot, LinkedIn Sales Navigator, Reply.io, Looker, Posthog, GA4, etc.
- Familiarity with APIs, Git, and modern software development workflows

Skills

Microsoft Office
HubSpot
Github
Dashboard and Reporting
Slack
Creating charts and graphs
Linear
Claude
Claude Code

We Offer

Competitive salary range of $135k – $175k
Opportunity to work in a cutting-edge AI environment
Collaborative and innovative work culture

About the Company

Carbon Arc

Carbon Arc is the neutral data layer for the AI economy: the missing infrastructure between private enterprise data and AI inference. We link hard-to-source real-world company data into a common ontology, delivered on demand via API, MCP server, or bulk, priced on consumption, and cleared through a legal layer where we take title to the assets and meter usage to pay suppliers automatically. We integrate with both end customers as well as those enriching or augmenting their product lines or user experiences.

As models converge on speed and price, the data feeding each decision becomes the edge. That edge is data structure, which takes years and real dollars to make liquid, legal, and linked to real-world action. That's the layer we've built. We are co-building domain-specific systems with frontier labs, vertical AI and enterprises across corporate, consulting, and financial services.

Perks

Healthcare benefits
Remote friendly
Generous vacation
Company events

GTM Engineer

Job description