GTM Engineer (AI)

TL;DR

GTM Engineer (AI): Designing, scaling, and evolving the automation and integration ecosystem to drive pipeline velocity and revenue growth with an accent on AI-first systems architecture and cross-functional execution. Focus on building multi-step AI agent pipelines, integrating LLM-powered automation, and optimizing the end-to-end GTM stack.

Location: Hybrid in New York City Metropolitan Area (3 days onsite per week)

Salary: $120,000 - $139,000

Company

HHAeXchange is the leading technology platform for home and community-based care, providing a comprehensive ecosystem connecting patients, providers, and managed care organizations.

What you will do

• Design and evolve the GTM systems infrastructure to increase pipeline velocity and revenue growth.
• Embed AI agents and LLM-powered automation for prospect research, content personalization, and workflow orchestration.
• Partner with RevOps and Marketing Ops to optimize funnel data flow and surface actionable pipeline insights.
• Maintain and scale integrations between HubSpot, Salesforce, SalesLoft, Zapier, 6sense, Clay, and GA4.
• Architect automated workflows for events, webinars, and demo routing to eliminate manual handoffs.
• Evaluate and implement emerging AI tools and models to replace manual processes and enrich data pipelines.

Requirements

• Bachelor’s degree required; technical or analytical background preferred.
• 5–8 years of experience building GTM, growth, or revenue systems in a B2B SaaS environment.
• Proven experience designing AI-first systems and multi-step AI agent pipelines.
• Proficiency in practical prompt engineering to produce production-grade outputs from LLMs.
• Hands-on expertise with CRM (Salesforce, HubSpot) and automation tools (Make, n8n, Zapier, Clay).
• Must be located in the New York City Metropolitan Area.

Culture & Benefits

• Comprehensive health plans and paid time-off.
• Company paid holidays.
• 401K retirement program with a company elected match.
• Hybrid work model focused on collaboration and engagement.
• Opportunity to work in a high-accountability environment with an experimental mindset.