GTM Engineer

Responsibilities

• 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.
• What you bring:
• 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.
• It'd be even cooler if you had:
• Experience working with Snowflake or Snowflake data
• Knowledge of restaurant operations/sector
• Product-led Growth (PLG) experience
• This role is an existing vacancy and is part of our current hiring plan.

Benefits

Additional Information

7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams. 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.

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