GTM Engineer

Highlight

GTM Systems & AI Automation Engineer building Highlight’s commercial operating system for product-intelligence customers. Automating buying-signal detection, HubSpot workflows, AI research, outbound execution, and pipeline generation.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $135,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing GTM systems, with a strong focus on automation, AI integration, and enhancing seller productivity. Proficient in managing HubSpot architecture and developing scalable outbound infrastructure to drive commercial performance.

Highest-signal resume keywords

Expert-Level HubSpot ExperienceAPIs and Webhooks DevelopmentAI Platforms IntegrationGTM Systems EngineeringProduction Automation Building

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLAutomationSystems EngineeringGrowth EngineeringRevenue EngineeringSales OperationsMarketing OperationsAccount PrioritizationSignal-to-Meeting Conversion MeasurementOutbound Infrastructure Development

Soft Skills

Systems-Thinking OrientationSelf-StarterProject OwnershipAdaptabilityCollaboration

Tools & Technologies

HubSpotClayAI PlatformsEnrichment ToolsGTM Technology Stack

Industry Keywords

B2B SaaSHigh-Growth CompanyOutbound TechnologiesCommercial ProcessesProduction Workflows

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Build automated buying-signal engines identifying active opportunities such as product launches, hiring, executive changes, retailer expansion, and manufacturing investments
Design AI-powered workflows for account research, enrichment, prioritization, messaging, and outbound execution
Build and optimize outbound infrastructure, including sequencing, deliverability, and multichannel automation
Measure signal-to-meeting conversion and improve commercial performance
Eliminate manual work through intelligent automation
Architect and maintain integrations across HubSpot, Clay, AI platforms, enrichment providers, and the GTM technology stack
Build APIs, webhooks, and automation to eliminate manual processes
Own HubSpot architecture, including workflows, custom objects, automation, routing, and lifecycle management
Build scalable territory assignment and account prioritization systems
Improve seller productivity through systems design
Build production AI workflows for research, qualification, personalization, account summaries, and sales execution
Deploy AI responsibly with testing, monitoring, and quality controls
Simplify commercial processes through automation
Build documentation and repeatable playbooks for production workflows
Partner with Sales, Marketing, Product, and Engineering to deliver scalable GTM infrastructure

Requirements

What you’ll need

5+ years building GTM systems, Growth Engineering, Revenue Engineering, Marketing Operations, or Sales Operations within a high-growth B2B SaaS company
Expert-level HubSpot experience, including workflows, APIs, custom objects, and automation
Strong experience with APIs, webhooks, SQL, AI platforms, and modern GTM technologies
Hands-on experience building production automation rather than managing vendors
Strong systems-thinking orientation and bias toward execution
Comfortable owning projects from concept through deployment
Self-starter who thrives with autonomy and ambiguity
Experience as an early GTM systems hire at a Series A or Series B SaaS company
Experience building outbound infrastructure and pipeline-generation systems from scratch
Experience with HubSpot, Clay, AI platforms, enrichment tools, and modern outbound technologies
Technical background in software engineering, analytics engineering, or systems engineering preferred
Passion for AI, automation, and continuous improvement

Benefits

Comp & perks

Health insurance (medical, dental, vision) with 100% of employee premiums covered
Unlimited PTO
Flexible, remote WFH culture
Access to the iconic Hearst Tower & its facilities in NYC (should you choose to ever be in person)