Principal Analytics & AI Engineer
Core
Designing scalable AI-powered self-service analytics, semantic layers, and predictive models to empower business teams with actionable insights and drive product optimization.
Role type
Principal Analytics & AI Engineer (hands-on IC with leadership)
Builds
Reusable AI agents, semantic layers, predictive/diagnostic models, and scalable feature pipelines for Product & Engineering teams.
Domain
SaaS / Data Platform / Consumer Privacy
Deliverable
production ML models | dashboards & analysis | product features
Required skills
Python, SQL, BigQuery, MLOps, causal inference, A/B testing, dbt, model explainability, roadmap definition, team mentorship
Preferred skills
Experience in SaaS or Platform environments, translating ambiguous product questions into technical concepts
Technologies
Python, SQL, BigQuery, Tableau, dbt
Responsibilities
Design and certify AI-powered self-service metrics and dashboards; Develop predictive and causal models for product adoption and monetization; Architect data stacks and scalable feature pipelines; Mentor engineers and lead cross-functional analytics projects; Own explainability and governance for AI-driven analytics.
Seniority
Principal, hands-on IC with mentorship and strategy