# Go-to-Market Engineer at GOARC at New York, NY

- **Company:** New York, NY
- **Location:** Unlisted
- **Employment type:** Full-time
- **Salary:** Not listed
- **Category:** GTM Engineering
- **Seniority:** mid
- **Working pattern:** hybrid
- **Posted:** 2026-10-15
- **Stack:** Clay, n8n, Salesforce, HubSpot, Apollo, SQL
- **Page:** https://agentops.careers/jobs/go-to-market-engineer-at-goarc-new-york-ny/
- **Apply:** https://hiringcafe.com/job/go-to-market-engineer-goarc-franklin-tennessee-w82lsqus9qlaym4w

## In short (AI summary of the posting)

The person will design, build and improve the systems, automations and AI-powered workflows behind a small go-to-market team, owning the full GTM tech stack and working with the CEO and head of sales. Work includes a data enrichment layer, outbound and follow-on comms, attribution dashboards and an internal AI workflow library. The role needs 2+ years in early-stage B2B startups, hands-on AI/LLM and agentic tools, API integrations and basic SQL.

## Description

Franklin • 50 mi

![GOARC](https://s2.googleusercontent.com/s2/favicons?domain=go-arc.com&sz=128)

Posted 3mo ago

# Go-to-Market Engineer

GOARC

[go-arc.com](https://go-arc.com/) [View all open roles](https://hiringcafe.com/org/go-arc.com)

Franklin, Tennessee, United States

HybridFull Time

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Responsibilities

- wiring systems
- building automations
- enriching data

Requirements

- 2+ years in early-stage B2B startups
- Hands-on AI/LLM and agentic tools
- API integrations and basic SQL
- Familiarity with modern GTM stack
- Self-starter with strong writing and execution skills

Technical tools mentioned

ClaudeOpenAIClaude CodeClayApolloHubSpotSalesforceLinkedIn Sales NavigatorSmartleadInstantlyn8nMakeGumloopCodexGemini CLISQL

## Job description

**About GOARC**

GOARC is an **AI-native B2B SaaS company** helping industrial organizations protect their people, improve frontline execution, and reduce operational risk.

Our platform brings intelligence, automation, and real-time visibility to some of the most complex and high-stakes operating environments in the world. GOARC helps companies move beyond reactive safety and operations management toward a smarter, more predictive, AI-driven way of working.

The market opportunity is massive. Industrial companies are under pressure to modernize, improve safety performance, reduce risk, and operate with greater speed and precision. GOARC is built for that moment.

We have a clear industry-leading offering, a wide-open market, and a leadership team with a proven track record of building category-defining companies. GOARC’s CEO and SVP of Revenue Operations have helped build two companies valued at more than $1 billion in this category.

For the right person, this is a rare opportunity to get in early, learn directly from proven leaders, and help build the next great AI-native industrial SaaS company.

### The Opportunity

GoARC has strong demand and seasoned leadership that is personally running demand gen and outbound. What’s missing is the system underneath: the data, the automations, the content infrastructure, the AI workflows that turn a sophisticated sales motion into a compounding revenue machine.

That’s the job. You are part GTM strategist, part technical backbone of our revenue engine. You will design, ship, and continuously improve the systems, automations, and AI-powered workflows that help our small, sharp go-to-market team operate at a level that looks impossible on paper. You will build the infrastructure that lets us scale without proportional headcount.

This is a high-visibility, high-ownership founding role. You will own the full go-to-market tech stack. You will work side by side with the CEO and head of sales. You will turn go-to-market from a set of disconnected tools into a cohesive, intelligent system.

### What you’ll build in your first 6 to 12 months

•       **The trigger-moment content engine.** Structured intake of customer stories, transcripts, and field notes, transformed into an LLM-readable repo that powers personalized outreach, case studies, and account-specific assets at scale.

•       **The data and enrichment layer.** ICP definition, data enrichment orchestration, intent and signal pipes (LinkedIn, news, hiring triggers, M&A), prospect list automation. The system the rest of GTM runs on.

•       **The outbound and follow-on comms stack.** LinkedIn (automated and CEO-amplified), email sequencing, multi-touch nurture, AI personalization layered over named-account lists.

•       **The attribution and pipeline review.** Dashboards the CEO can run in fifteen minutes a week. Source-to-revenue visibility. The truth, not vanity metrics.

•       **The internal AI workflow library.** Claude Code, n8n, Make, or a similar iPaaS or agentic coding tool, MCPs and APIs wired into our stack so the team gets leverage out of every contact, every signal, e