GTM Engineer

Job Summary We are seeking a GTM Engineer with experience leveraging modern AI-driven go-to-market tooling and data-driven revenue operations strategies. The ideal candidate will have a strong background in SQL-based RevOps workflows, customer and account scoring methodologies, and cloud infrastructure concepts. This role will focus on building scalable GTM processes, optimizing data workflows, and supporting AI-enabled operational initiatives. Key Responsibilities Design and optimize go-to-market (GTM) workflows using modern AI-driven GTM tools and platforms Work with tools such as Clay and related automation technologies to support revenue operations initiatives Develop and maintain SQL-based data workflows, reporting logic, and operational models Build and enhance Ideal Customer Profile (ICP) scoring models and account prioritization frameworks Analyze customer, sales, and operational data to support GTM strategy and business decision-making Collaborate with sales, marketing, RevOps, and technical teams to improve process efficiency and data quality Support automation and enrichment processes for lead generation, segmentation, and account intelligence Assist with integrating AI-enabled workflows into existing GTM and operational processes Support cloud-based infrastructure and data-related operational initiatives Maintain documentation and contribute to process improvement and operational best practices Required Qualifications Experience working with Clay and modern AI-driven GTM tooling Strong SQL skills with experience building and managing RevOps-related workflows and operational models Experience developing ICP scoring models or customer/account scoring methodologies Understanding of cloud infrastructure concepts and environments Experience analyzing and transforming operational and business data Strong analytical and problem-solving abilities Ability to work cross-functionally with business and technical teams Strong communication and collaboration skills Preferred Qualifications Experience with revenue operations (RevOps), sales operations, or GTM engineering functions Familiarity with AI-assisted workflow automation and data enrichment platforms Experience supporting scalable data and GTM infrastructure initiatives Exposure to cloud-based data platforms and modern data stack technologies