GTM Engineer, 7shifts

• 2+ years of experience in Analytics Engineering, Marketing Analytics, Growth Engineering, Revenue Operations, or a similar role. You understand the technical side of acquisition, retention, and expansion
• Advanced proficiency in SQL and Python or JavaScript. You are comfortable building lightweight internal tools, custom scripts, and managing complex data transformations
• Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery) and dbt for managing business logic and ensuring data quality
• Deep understanding of APIs and the ability to architect data flows between disparate GTM tools (Salesforce, Braze, etc)
• The ability to act as a strategic bridge, translating high-level business goals into technical specs while helping non-technical stakeholders operationalize data signals
• A business-first engineering mindset. You think end-to-end from raw data extraction to activation, focusing on revenue impact rather than just shipping code
• Experience integrating LLMs into production environments for tasks like unstructured data extraction, lead qualification, or building autonomous agentic workflows
• We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds

Desirable

• As the GTM Engineer at 7shifts, you’ll build the technical engine behind our global marketing and sales strategy, transitioning our motions from manual one-size-fits-all campaigns to an intelligent system that triggers the right action at the right moment
• Reporting to the Senior Manager, GTM Data Science & Engineering, your focus will be on building internal products and automated workflows that drive results across acquisition, retention, and expansion
• As a strategic technical partner to go-to-market teams, you will engineer seamless experiences that turn complex data into business value at scale
• GTM Tool Building: Build internal products that replace manual research with automated intelligence, enabling teams to shift from generic marketing and sales motions to personalized, data-backed approaches
• Data Acquisition & Signal Engineering: Engineer workflows that blend vendor data with custom signals to identify high-value prospects based on specific triggers and market events across GTM initiatives
• Targeting & Prioritization: Replace manual list-building with data-driven prioritization models, ensuring resources are focused on the prospects and growth opportunities with the highest probability of conversion across the funnel
• AI Agents & Workflows: Deploy AI agents to automate routine tasks, increasing organizational capacity and enabling teams to maintain high-quality decision making across workflows
• Lifecycle Orchestration: Orchestrate cross-functional GTM motions using event-driven triggers, ensuring that interactions are synchronized with real-time behaviour to improve engagement timing and relevance
• Data Pipelines & Activation: Establish a centralized GTM logic layer within the data warehouse to ensure all execution platforms operate from a unified source of truth, maintaining data integrity across initiatives
• Cross-Functional Enablement: Serve as a strategic bridge between GTM and Data teams, translating business goals into technical requirements and enabling stakeholders to effectively apply data to optimize their core motions