GTM Engineer

GTM Engineer — Go-To-Market Engineering

Location: Midtown Manhattan, NY (Onsite)

Compensation: Competitive base salary + bonus + equity

Company: Fast-growing, venture-backed Healthcare AI innovator

About the Role

We are partnering with an award-winning, venture-backed Healthcare AI company transforming how medical aesthetic and healthcare businesses manage operations, procurement, inventory, and practice growth.

Following significant expansion and continued market adoption, the company is investing in its Go-To-Market (GTM) infrastructure and seeking its first GTM Engineer to architect and scale the systems that power customer acquisition.

This is a highly visible opportunity to work directly with executive leadership, leverage modern AI and automation technologies, and build the foundation for a world-class revenue engine. As one of the earliest GTM Engineering hires, you will help shape strategy, create scalable processes, and grow into future leadership responsibilities as the company scales.

Why This Opportunity Stands Out

• Join an innovative Healthcare AI company disrupting a rapidly growing market
• Build the GTM Engineering function from the ground up and own revenue-generating systems
• Work directly with executive leadership and influence company-wide growth strategy
• Leverage cutting-edge AI, automation, and data-enrichment technologies
• Benefit from significant upward mobility, with a path toward GTM Engineering Lead or broader leadership
• Receive a competitive compensation package, including bonus and equity
• Make an immediate impact on pipeline generation and company growth in a fast-moving startup environment

What You’ll Do

Build and Scale Revenue Systems

• Design and optimize lead-generation, enrichment, and account-intelligence workflows
• Create scalable processes that convert buyer signals into qualified sales opportunities
• Develop systems that improve pipeline consistency and sales productivity

AI & Automation Development

• Build and deploy AI-powered workflows for account research, lead qualification, prospect prioritization, and personalized outreach
• Use large language models and automation frameworks to improve operational efficiency
• Evaluate emerging AI technologies and identify opportunities to strengthen revenue operations

Outbound Infrastructure Ownership

• Own and optimize outbound email infrastructure, deliverability, domain management, and multi-channel outreach systems
• Implement best practices for email authentication, sender reputation, and campaign performance
• Continuously improve outbound performance through testing and optimization

Integrations & Workflow Engineering

• Connect and optimize the revenue technology stack through APIs, webhooks, automation platforms, and custom integrations
• Build scalable workflows across CRM, sales intelligence, conversation intelligence, and marketing platforms
• Develop custom solutions when existing tools do not meet business needs

Data Strategy & Signal Intelligence

• Build enrichment pipelines to identify target accounts, buying signals, decision-makers, and engagement opportunities
• Improve data quality and automate lead routing across the organization
• Create scoring models that help sales teams prioritize high-value opportunities

GTM Optimization & Experimentation

• Evaluate new technologies, data sources, AI tools, and growth strategies
• Measure performance, remove inefficiencies, and scale successful initiatives
• Document repeatable playbooks and operational best practices

Technology Stack

You will work with modern tools across Revenue Operations, AI, and automation, including:

• GTM & sales tools: Clay, Salesforce, Apollo, Gong, 6sense
• AI & automation: OpenAI APIs, Anthropic APIs, AI agents, LLM workflows, n8n, Make
• Development & data: Python, JavaScript, REST…