GTM Engineer, Marketing Systems

About the Role

Key Responsibilities

• Architect next-generation AI-powered workflows by building automation systems using tools like Clay, Zapier, and the ChatGPT API to streamline lead enrichment, routing, and outreach.
• Unlock a personalized customer experience by developing scalable and predictive personalization engines for web and email, using behavioral, firmographic, and product-usage signals to improve engagement and conversion.
• Drive continuous experimentation and optimization by identifying opportunities to test, refine, and scale automated GTM systems, staying ahead of emerging martech and AI trends.
• Collaborate with cross-functional teams to translate business goals into technical solutions, ensuring fast iteration cycles and measurable impact on GTM motions.

Requirements

• Technical mastery of marketing systems: Hands-on experience with APIs and webhooks, comfort with JSON data structures, and ability to design and manage martech architecture.
• Martech platform expertise: Strong background with tools such as Segment, Marketo/HubSpot, enrichment platforms, and workflow automation systems.
• AI & automation skills: Practical experience building AI-powered GTM workflows using Clay, Zapier/Make, ChatGPT API, or similar tools.
• Analytical & problem-solving skills: Ability to diagnose system issues, design solutions, and automate processes to improve efficiency and unlock insights.
• Data literacy & scripting: Familiarity with basic SQL, and comfort with scripting in Python and/or JavaScript to extend automations.
• AI & Innovation Interest: Strong interest in AI/automation trends and eagerness to apply new tools like LLMs, AI agents, and prompt engineering.
• Builder Mentality: Bias for action, enjoy tinkering, testing prototypes, and evolving workflows into production.
• Project management: Proven ability to scope, plan, and execute multi-stakeholder projects with cross-dependencies.
• Strategic thinking: Experience in evolving systems, processes, and reporting to support product-led growth and sales motions.
• Collaboration: Comfortable working with both technical and non-technical teams, bridging strategy and execution.

Nice to Have

• Experience in SaaS, cloud infrastructure, or developer tools.

Qualifications

• Experience with APIs, webhooks, JSON data structures, and martech architecture.
• Background with marketing automation tools such as Segment, Marketo, HubSpot, and enrichment platforms.
• Experience building AI-powered workflows with tools like Clay, Zapier, and ChatGPT API.
• Basic SQL knowledge and scripting in Python and/or JavaScript.

Benefits & Perks

• Competitive salary range of $92,800 to $116,000, based on experience and skills.
• Potential for bonuses based on company and individual performance.
• Equity compensation, including grants upon hire and participation in the Employee Stock Purchase Program.
• Reimbursement for relevant conferences, training, and education.
• Access to LinkedIn Learning's courses for ongoing development.
• Comprehensive benefits supporting well-being, including Employee Assistance Program, local meetups, and flexible time off policies.