Analytics Engineer, Safety Systems
Core
Building canonical data sources and dashboards to enable trustworthy, actionable insights on AI safety metrics for stakeholders and AI agents.
Role type
Senior Analytics Engineer (Safety Systems)
Builds
Canonical datasets, source-of-truth dashboards, agent-enabled workflows, and machine-readable interfaces for safety metrics.
Domain
AI Safety / Data Engineering
Deliverable
dashboards & analysis
Required skills
SQL, ETL workflow design, business intelligence tools (Tableau, Looker), data product development, UX principles for data visualization, stakeholder management, autonomous problem solving.
Preferred skills
Trust and safety domain expertise, advanced custom visualizations (Streamlit, Plotly Dash), NLP, large language models, generative AI.
Technologies
Tableau, Looker, Streamlit, Plotly Dash, SQL, LLM-powered analytics tools.
Responsibilities
Design and maintain canonical datasets serving as sources of truth for safety metrics; develop and refine data products including dashboards and agent-enabled workflows; collaborate with Engineering, Research, and Data Science to understand decision-making needs; ensure analytics accuracy and user-friendliness; advocate for data quality and consistency across products.
Seniority
Senior, hands-on IC
