GTM Engineer

About the role

We're building a GTM Engineering function inside RevOps — and this role sits at the center of it. As a GTM Engineer, you'll own the technical layer that powers our go-to-market motion: the automations, AI workflows, data pipelines, and tool integrations that turn strategy into execution at scale.

Responsibilities

• AI-powered workflows — Design and deploy LLM-based automations across the GTM stack (Clay, Gong, Salesforce, Marketo) to surface signals, enrich data, and trigger actions without manual intervention
• Data pipelines — Build and maintain pipelines between Snowflake, Salesforce, and BI tools (Tableau) to power reliable, real-time reporting and scoring models
• Salesforce development — Architect and implement custom objects, flows, validation rules, and field logic to support forecasting, pipeline inspection, and account intelligence programs
• Tool integrations — Own the technical implementation of new GTM tools — from API connections and webhook configurations to data mapping and QAAutomation infrastructure — Build scalable, maintainable processes using tools like Clay, Zapier, Make, or custom scripts; reduce manual RevOps workload across the team
• Prompt engineering — Write and maintain AI prompts embedded in GTM systems (e.g., Gong Smart Trackers, AI field population in Salesforce) to extract structured insight from unstructured data

Requirements

• Required 3+ years in a technical GTM, RevOps, or Sales/Marketing Engineering role
• Hands-on Salesforce experience: custom objects, flows, SOQL, validation rules, field-level logic
• Demonstrated experience building automations using Clay, Zapier, Make, or similar platforms
• Working knowledge of APIs (REST), webhooks, and data transformation
• SQL proficiency — comfortable querying Snowflake or similar data warehouse
• Experience working with AI/LLM tools in a production GTM context (prompt design, output validation, workflow integration)
• Strong systems thinking: can map a business problem to a technical solution independently

Preferred Experience

• Gong (AI fields, Smart Trackers, API)
• MarketPro or equivalent MAP integration experience
• Python or JavaScript for scripting and automation
• Familiarity with Tableau or similar BI tools
• Prior experience in a high-growth SaaS environment ($50M–$200M ARR)