Senior AI Engineer
Core
Building a customer intelligence layer that dynamically learns signals driving revenue outcomes and surfaces actionable insights to change business decisions.
Role type
Senior Applied ML Scientist (Revenue Intelligence)
Builds
Production ML systems and pipelines for churn, expansion, conversion, and engagement prediction.
Domain
SaaS Customer Success & Revenue Analytics
Deliverable
production ML models
Required skills
statistical modeling, machine learning, Python (production-grade), SQL, cloud data warehouses, LLMs/embeddings, experiment design, model monitoring, feature engineering
Preferred skills
causal inference, uplift modeling, A/B testing, orchestration tools (Airflow, dbt), AI-assisted development workflows
Technologies
Python, SQL, Snowflake, LLMs, embeddings, Airflow, dbt
Responsibilities
Train, evaluate, and deploy models predicting revenue outcomes; design experiments linking customer signals to business results; build continuous learning ML pipelines; monitor model performance and drift; translate model outputs into actionable insights for sales and product teams; partner with engineering to embed intelligence in user workflows.
Seniority
Senior, hands-on IC
