Analytics Engineer, Safety Systems

Details

The Safety Systems team works to ensure the safety, robustness, and reliability of AI models and their deployment in the real world. The team addresses emerging safety issues and develops fundamental solutions for the safe deployment of advanced models and future AGI.

As an Analytics Engineer, you will help build a data-centric culture, improve decision-making, and drive strategic initiatives through analytics. You will partner with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable people and AI agents to derive trustworthy, actionable insights.

You will own the consumption layer for safety metrics, defining reliable and intuitive ways for stakeholders across Safety Systems, partner teams, and leadership to understand product safety, answer safety-related questions independently, and inform product decisions and company strategy.

This role is based in San Francisco, California, with a hybrid work model requiring three days in the office per week.

Responsibilities

• Design and maintain canonical datasets that serve as sources of truth for safety metrics.
• Develop and refine data products, including dashboards, reports, agent-enabled workflows, and machine-readable interfaces, to help stakeholders extract and analyze data independently.
• Work with Engineering, Research, and Data Science stakeholders to understand decision-making needs and design intuitive ways to consume complex safety metrics.
• Build dashboards, reports, agentic workflows, and other data products.
• Ensure analytics and visualizations are accurate and user-friendly, incorporating user experience principles.
• Advocate for data quality, consistency, and reliability across analytics products.
• Collaborate with researchers and engineers to advance the development of safe, robust, and reliable AI.

Requirements

• 5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.
• Ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach through driving clear recommendations and execution.
• Highly autonomous and resourceful, with experience navigating data, stakeholder, and operational blockers.
• Advanced SQL skills, including extensive experience extracting large datasets and designing ETL workflows.
• Experience using business intelligence tools such as Tableau and Looker to communicate insights and enable self-service analytics.
• Excellent communication skills and the ability to collaborate with researchers, engineers, data scientists, and executives.
• Exceptional attention to detail and a strong commitment to accuracy.
• Proven record of delivering significant business impact, preferably in Finance, Sales, Support, or other go-to-market domains.
• Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.

Preferred Qualifications

• Experience in trust and safety, integrity, anti-abuse, or related fields.
• Familiarity with advanced custom visualizations, such as Streamlit and Plotly Dash.
• Experience with natural language processing, large language models, or generative AI.
• Experience building data products used by a broad range of stakeholders, from technical practitioners to company leadership.

Benefits

• Base salary of $210,000–$260,000 per year.
• Equity, performance-related bonuses for eligible employees, and benefits.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.