Manager, GTM Data Science & Engineering

📋 Description

• Build and own the market intelligence layer. scraping external sources, enriching data with LLMs, mapping TAM/whitespace, and detecting restaurant group relationships that surface expansion opportunities
• Design and deploy predictive models: ICP scoring at trial signup, lead prioritization, and propensity models for conversion and expansion
• Push enriched data and scores into Salesforce to trigger workflows, automate outbound based on pain signals, and personalize campaigns at scale
• Partner with across the GTM org to help bring these findings and insights into workflows to improve performance
• Manage a team of 2-3 GTM data engineers/scientists. Set the technical roadmap, prioritize based on business impact, and ensure quality in code and model validation
• Partner with the data team to ensure effective infrastructure, tables and accessibility for the GTM teams

🎯 Requirements

• Strong SQL and Python; experience building and deploying production data pipelines
• Hands-on with modern data stack (Snowflake, dbt, Airflow) and Salesforce/Marketing Automation platforms
• Experience building predictive models (machine learning, etc) lead scoring, propensity, segmentation
• Familiarity with LLMs/AI tooling for data enrichment, scraping, and automation
• Deep understanding of B2B SaaS GTM motions: how trials convert, outbound works, and expansion happens
• Manage a team of 2-3 GTM data engineers/scientists. Set the technical roadmap, prioritize based on business impact, and ensure quality in code and model validation

🎁 Benefits

• Opportunity to own growth and impact on a growing product
• Challenging, meaningful problems in a fast-moving industry
• Culture: recognized as a top workplace in North America
• Equity: share in the company's success
• Health, dental, lifestyle spending accounts, parental leave
• Flexibility: hybrid/remote options with offices in Saskatoon and Toronto