Go-to-Market Engineer

GOARC•Franklin, TN

15h•Remote

About The Position

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.

Requirements

Self-starter: sees what needs to be built and builds it without being asked.
2 to 5 years in early-stage B2B startups, ideally as one of the first GTM-side hires.
Hands-on experience leveraging AI and LLMs in real workflows (e.g., Claude, OpenAI, agentic tools like Claude Code).
Comfortable with API integrations and basic SQL / data querying.
Required familiarity with the modern GTM stack: Clay, Apollo, HubSpot or Salesforce, LinkedIn Sales Navigator, an outbound tool (Smartlead, Instantly, or equivalent), a workflow tool (n8n, Make, or Gumloop), and/or agentic coding tools like Claude Code, Codex, or Gemini CLI.
Technical, but not a software engineer: wires systems together, writes SQL, hits APIs, builds automations.
Ability to write well enough to draft sequences, content, and briefs without a copywriter.
Comfortable working directly with a professional, hands-on CEO.
Bias to build: prefers shipping one rough automation today over designing three perfect ones for next quarter.

Nice To Haves

Background in industrial software, EHS, operations, compliance, or OT.
Track record of getting up to speed fast in unfamiliar industrial buyer contexts.
Experience building a customer-evidence repo from raw transcripts and stories.
Experience wiring LLM workflows into a real revenue motion that drove pipeline.
Experience managing outbound email and messaging at scale.

Responsibilities

Design, ship, and continuously improve systems, automations, and AI-powered workflows for the go-to-market team.
Build the infrastructure to scale the go-to-market function without proportional headcount increase.
Own the full go-to-market tech stack.
Work side by side with the CEO and head of sales.
Turn go-to-market from a set of disconnected tools into a cohesive, intelligent system.
Build a 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.
Develop the data and enrichment layer: ICP definition, data enrichment orchestration, intent and signal pipes (LinkedIn, news, hiring triggers, M&A), prospect list automation.
Build the outbound and follow-on comms stack: LinkedIn (automated and CEO-amplified), email sequencing, multi-touch nurture, AI personalization layered over named-account lists.
Develop attribution and pipeline review dashboards for quick weekly reviews.
Create an internal AI workflow library using tools like Claude Code, n8n, Make, or similar iPaaS or agentic coding tools, wiring MCPs and APIs into the stack.
Enrich lists of VPs, wire them into sequenced campaigns, and route replies automatically.
Turn customer call recordings into field-ready content assets and templated case-study drafts.
Debug technical integrations, such as Salesforce-to-HubSpot syncs.
Ship Claude-powered agents that draft personalized LinkedIn messages based on real-time hiring signals.
Rebuild pipeline dashboards to streamline weekly reviews.
Ship systems, experiment quickly, and solve real-world problems with software, AI, and judgment.