GTM Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the complete inbound and PLG funnel infrastructure, starting from the initial product signal or form submission to the appropriate next step, ensuring every lead is enriched, scored, and directed into the correct GTM motion without manual intervention.

• Create automated pathways for transactional and mid-market demand that do not consume AE time: self-service, low-touch sequences, and AI-assisted qualification that advances leads toward closure independently.

• Implement agentic AI systems across marketing functions, including research, lead qualification, personalized follow-ups, and meeting scheduling.

• Develop and manage lead qualification models that direct leads to the appropriate GTM motion based on first- and third-party signals, product usage, firmographics, behavioral data, and more.

• Establish pre-AE qualification and nurturing infrastructure ensuring that leads reaching a representative are warm, informed, and ready, rather than unrefined inbound that detracts from selling time.

• Create and sustain the orchestration layer across HubSpot, Salesforce, Clay, Default, Slack, G-suite, and more, linking demand to revenue at every segment.

• Build an agentic AI support layer that enhances both marketing and sales functions.

• Deploy AI agents that handle research, qualification, and follow-up tasks that are not scalable manually.

• Define what the transactional path to close looks like at HiveMQ when an AE isn't the appropriate solution.

⛳️ Requirements

• 2–4 years of experience in GTM engineering, marketing operations, or revenue operations, with a proven record of building systems rather than merely configuring them.

• Hands-on experience with HubSpot and Salesforce as a primary CRM system.

• Practical knowledge of enrichment and automation tools such as Clay, Clearbit, Default, HubSpot, or similar platforms.

• Experience in building or deploying AI agents or LLM-powered workflows (Claude Code, Codex, etc.) in a GTM or revenue context—not just prototypes, but reliable systems operating in production at scale.

• Proficiency with APIs, webhooks, and light scripting (Python or JavaScript) to work around vendor limitations when standard outputs are insufficient.

• Familiarity with large data sets used to inform GTM engineering and workflows in AWS, GBQ, etc.

• Experience in constructing lead qualification and routing logic, including scoring, segment-based routing, SLA definition, and enforcement.

• A systems-oriented mindset: you consider edge cases, failure modes, and scalability before launching.

• The capability to transition from concept to production in a remote setting with minimal supervision.

🏝️ Benefits

• Elimination of manual processes through autonomous workflows.

• Creation of enrichment pipelines that reveal firmographic, technographic, and product context prior to any human interaction—no manual research required.

• Collaboration with Marketing, Demand Generation, Sales, and GTM Operations to convert operational bottlenecks into engineered, automated solutions.