This role is for a mid-to-senior data professional with at least four years of experience specifically at the intersection of marketing and product-led growth.

This role is for a mid-to-senior data professional with at least four years of experience specifically at the intersection of marketing and product-led growth. You should be someone who can move comfortably between building dbt pipelines, running causal inference on experiments, and designing attribution models for a technical SaaS audience. **What makes it worth a look...** The compensation is high for a mid-level role, topping out at $250,000 plus equity and a 4% 401(k) match. You will be working at a high-growth AI company that is currently defining the "agentic software" space, giving you massive influence over how they scale their self-serve and enterprise revenue. **You might be a good fit if you...** * Have mastered SQL, dbt, and Python for marketing analytics. * Know how to build propensity and lead scoring models to find high-value users. * Feel at home using Snowflake, BigQuery, or Segment to track user journeys. * Understand how to market technical developer tools to both hobbyists and enterprises.

Data Scientist, Marketing at Replit