Senior GTM Engineer

Join our fast-growing team as a GTM Data Engineer and play a pivotal role in shaping the data-driven engine behind our B2B SaaS growth. If you thrive at the intersection of technical rigor and go-to-market strategy, this is your chance to architect scalable data pipelines that power sales, marketing, and customer success. ❖ About the Role As our GTM Data Engineer, you’ll integrate and optimize the entire revenue tech stack, building robust data pipelines that fuel our GTM systems. You’ll architect solutions for sales funnel optimization, marketing attribution, and customer health scoring—delivering actionable insights that accelerate growth and drive GTM efficiency. This is a unique opportunity to blend deep data engineering expertise with a strategic GTM mindset. ❖ Key Responsibilities - Lead the management and integration of the GTM systems stack, including CRM, sales engagement, CDP, and data enrichment tools, creating a unified and scalable infrastructure. - Drive continuous improvements in GTM system processes to boost efficiency, reduce friction, and enhance data quality. - Collaborate with Product, Sales, Marketing, and Customer Success leaders to operationalize new GTM motions and ensure seamless system support. - Translate business requirements into technical schemas that enable use cases like 360-degree customer journey views, automated outbound sequencing, and territory management. ❖ Data Architecture & Pipeline Engineering - Design, build, and maintain scalable ELT/ETL pipelines that centralize data from diverse GTM sources into our data warehouse. - Create seamless data integrations across the GTM tech stack, ensuring reliable data flow between platforms such as Salesforce, HubSpot, and Clay. - Own the Reverse ETL process, pushing actionable insights (like lead scores and churn alerts) from the warehouse into frontline tools. - Implement data quality monitoring and observability processes to maintain the integrity of our single source of truth. ❖ Analytics & Optimization - Build and optimize dbt models to transform raw GTM data into clean, analysis-ready tables for business intelligence. - Partner with Data Science to deploy predictive models—such as Propensity to Buy and Churn Prediction—directly into GTM workflows, driving smarter decision-making. ❖ Preferred Experience & Qualifications - Bachelor’s or Master’s degree in Marketing, a technical field, or business-related discipline. - 5+ years of experience as a GTM Data Engineer or similar role, with deep expertise in B2B SaaS GTM systems. - Advanced proficiency in SQL, Python, and dbt; hands-on experience with cloud data warehouses like Snowflake, BigQuery, or Redshift. - Experience with orchestration tools such as Airflow, Dagster, or Fivetran. - Strong ability to work with REST APIs for data integration from platforms without native connectors. - Proven track record building and maintaining data pipelines for GTM data (leads, accounts, opportunities, bookings). - Exceptional analytical, problem-solving, and cross-functional communication skills. Ready to architect the data backbone of a high-growth B2B SaaS company? If you’re passionate about GTM systems, data engineering, and driving business impact, we want to hear from you. Apply now and help us build the future of data-driven go-to-market excellence! [META]: GTM Data Engineer role for B2B SaaS—build scalable pipelines, optimize GTM systems, and drive growth. Apply your SQL, dbt, and API skills today!