AI Data Engineer

Join BetterUp's GTM Data & Operations team as an AI Data Engineer. In this high-impact role, you will design, build, and maintain scalable data pipelines, own and evolve our data warehouse architecture, and develop AI tools for high-impact GTM use cases. You will partner with Sales, Marketing, and RevOps stakeholders to identify opportunities for AI integration and lead cross-functional efforts to ensure adoption. This position offers a range of benefits, including medical, dental, and vision coverage, a 401k plan, flexible time off, and more.

• Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
• Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
• Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
• Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context
• Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.)
• Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
• Hands-on experience with dbt for data transformation
• Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly
• Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
• Familiarity with agentic coding tools (Claude Code, Cursor, etc.)
• Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.)
• Strong communication skills with the ability to translate complex technical work into business impact
• We know applying for a job can be intimidating, please don’t hesitate to reach out—we encourage everyone interested in joining us to apply
• Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics
• Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company
• Strong proficiency in Python and SQL
• Hands-on experience building with LLMs or deploying generative AI solutions in a production environment
• 3–5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles
• Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot → Salesforce → Snowflake → BI layer) and understand how changes in one system ripple across the stack
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field—or equivalent practical experience
• Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift)