GTM Engineer - AI Systems
Huzzle
Gtm Engineer (Go-To-Market Engineer)
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle.
Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure.
Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR.
Role Type: Full-time
Engagement: Independent Contractor
Hours: US Timezone
We are hiring a GTM Engineer (Go-To-Market Engineer) to build, launch, and optimize high-performance outbound campaigns for SaaS clients.
This is a hands-on, execution-heavy role ideal for someone who thrives in a startup environment, enjoys experimenting with cutting-edge tools, and wants to directly impact pipeline generation.
You'll work closely with leadership and clients to translate buying signals into scalable outbound systems that drive measurable revenue outcomes.
Key Responsibilities
- Build and launch outbound campaigns using Clay, SmartLead, HeyReach, and automation tools
- Use Claude (AI) to generate, test, and optimize outbound messaging at scale
- Turn real-time buying signals into highly targeted prospecting workflows
- Build automated GTM systems using tools like n8n and APIs
- Continuously test, iterate, and optimize sequences for conversion
- Improve campaign speed, efficiency, and scalability
- Track performance through CRM attribution and optimize for pipeline outcomes
- Key KPIs:
- Campaigns launched per day, week, and month
- Time-to-launch for new campaigns (speed + efficiency)
- Campaign performance and pipeline contribution
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