OpenAI

Analytics Engineer, Safety Systems

OpenAI2 weeks ago
Location

San Francisco

Type

Full Time

Salary

USD 210,000 – 260,000

Level

Senior

Role

Analytics Engineer

Posted

Jun 5, 2026

Full TimeSenior

The role

Summary

As an Analytics Engineer in OpenAI's Safety Systems team, you'll architect data-centric solutions that enable safe AI deployment by designing canonical datasets, developing intuitive dashboards and reports, and partnering with engineering and research teams to transform complex safety metrics into actionable insights. This role requires 5+ years of analytics experience with expert-level SQL proficiency, BI tool mastery, and a proven track record of owning high-impact data initiatives that drive strategic decision-making across technical and executive stakeholders in a hybrid San Francisco environment.

What you'll do

Design and Maintain Canonical Datasets: Architect and maintain authoritative datasets that serve as single sources of truth for safety metrics, ensuring data consistency, reliability, and governance standards across the organization while supporting both human stakeholders and AI agents in making informed decisions.
Develop Data Products and Visualizations: Build and refine comprehensive data products including interactive dashboards, detailed reports, agentic workflows, and machine-readable interfaces that empower diverse stakeholders to independently query, analyze, and derive insights from complex safety-related data with minimal friction.
Collaborate on Analytics Requirements: Partner closely with stakeholders across Engineering, Research, Data Science, and Leadership to understand decision-making needs, translate ambiguous requirements into structured analytical approaches, and design intuitive interfaces for consuming complex safety metrics tailored to each audience's technical sophistication.
Ensure Data Quality and User Experience: Maintain accuracy, reliability, and user-friendliness of all analytics products and visualizations by incorporating data quality principles, user experience best practices, and accessibility standards while advocating for consistency across the analytics ecosystem and addressing data integrity issues proactively.
Drive Safety Metrics Consumption Strategy: Own the complete consumption layer for safety metrics, defining intuitive and reliable mechanisms for Safety Systems teams, partner organizations, and company leadership to access, understand, and leverage safety data for product decisions, operational improvements, and strategic planning that ultimately supports trustworthy AI deployment.

What we look for

Technical

Advanced SQL ExpertiseExpert-level proficiency in SQL with extensive experience extracting, transforming, and analyzing large-scale datasets, designing efficient ETL workflows, optimizing query performance, and working with complex data structures across relational and semi-structured databases.
Business Intelligence ToolsProduction-level experience with modern BI platforms such as Tableau and Looker for developing dashboards, reports, and self-serve analytics solutions that enable stakeholders to access insights independently while maintaining data consistency and performance standards.
Data Product DevelopmentExperience designing and building data products that serve diverse audiences from technical practitioners to executives, with ability to translate complex data into intuitive visualizations, scalable interfaces, and actionable insights while maintaining usability and performance.
AI-Assisted Data Tools and Agentic WorkflowsHands-on experience building, deploying, or leveraging agentic data tools, LLM-powered analytics platforms, or AI-assisted data workflows that enable automated data discovery, natural language querying, or intelligent analysis recommendations.

Education

Technical FoundationBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field, or equivalent practical experience demonstrating mastery of data structures, algorithms, and statistical analysis methodologies relevant to analytics engineering.

Experience

5+ Years in Dynamic Data RolesProven experience in analytics, data engineering, or related data roles within fast-paced, outcome-driven organizations where you've demonstrated consistent ability to deliver impact through data-driven decision-making and strategic data initiatives.
Independent Ownership of Complex ProblemsTrack record of independently owning ambiguous, high-impact business problems from initial structuring and analytical approach through clear recommendation formulation, execution planning, and stakeholder alignment, demonstrating autonomy and strategic thinking.
Data and Stakeholder NavigationProven resourcefulness in navigating complex data environments, resolving stakeholder conflicts, managing operational blockers, and driving initiatives to completion through collaboration with cross-functional teams despite ambiguity and constraints.
Business Impact in GTM or FinanceDocumented track record of delivering significant, measurable business impact through data initiatives, preferably within domains like Finance, Sales, Support, or Go-To-Market functions where analytics directly influenced revenue or operational efficiency.

Skills

Required skills

SQLAdvanced SQL for complex query construction, window functions, CTEs, and performance optimization across large datasets.
TableauProduction dashboard development, calculated fields, and data visualization design for self-serve analytics.
LookerLooker modeling, LookML development, and dashboard creation for enterprise analytics deployments.
ETL/Data Pipeline DesignDesigning and implementing robust data pipelines and ETL workflows for data integration and transformation at scale.
Data ModelingDimensional modeling, star schemas, and data architecture for efficient analytics and reporting.
Analytics CommunicationTranslating complex data findings into clear, actionable recommendations for diverse stakeholder audiences including executives and technical teams.

Nice to have

StreamlitBuilding custom data applications and interactive visualizations with Python-based Streamlit framework for rapid prototyping.
Plotly DashDeveloping advanced custom visualizations and interactive analytics interfaces with Plotly Dash for sophisticated data exploration.
PythonPython programming for data manipulation, analysis, and building custom analytics tools and workflows.
Trust and Safety Domain ExpertiseExperience in trust and safety, integrity operations, anti-abuse systems, or related security/safety domains and their analytical requirements.
Large Language Models and NLPPrior hands-on experience with NLP, large language model development, fine-tuning, or evaluation, and generative AI applications.
AI/ML AnalyticsExperience analyzing, monitoring, and building metrics for machine learning models, AI systems, or AI safety evaluation frameworks.
Agentic SystemsFamiliarity with AI agents, autonomous workflows, or multi-agent systems and their operational monitoring requirements.

Compensation & benefits

Salary

USD 210,000 – 260,000 (annual)

Stock options

Available

Benefits

Equity and Stock Options

Competitive equity package with stock options and participation in OpenAI's growth as a leading AI research and deployment organization.

Comprehensive Health Benefits

Medical, dental, and vision insurance coverage for employees and dependents with flexible plan options.

Retirement Planning

401(k) retirement savings plan with employer matching to support long-term financial security and retirement goals.

Flexible Work Arrangement

Hybrid work model with 3 days per week in San Francisco office and 2 days remote, allowing flexibility to balance collaboration with focused work.

Relocation Assistance

Comprehensive relocation support for new employees relocating to the San Francisco Bay Area, including moving expenses and transition support.

Professional Development

Access to training programs, conferences, and educational opportunities to stay current with emerging analytics technologies and industry best practices.

Wellness Programs

Mental health support, fitness benefits, and wellness initiatives promoting employee wellbeing and work-life balance.

Paid Time Off

Generous paid vacation, sick leave, and company holidays supporting employee rest and personal priorities.

Interview process

  1. 1
    Application and Resume Screening — Initial review of your background for alignment with core requirements: 5+ years analytics experience, SQL expertise, and BI tool proficiency. Highlighting specific examples of owned data initiatives and business impact significantly strengthens applications.
  2. 2
    Technical Screening Interview — 45-60 minute conversation with a member of the Safety Systems team covering SQL fundamentals, ETL design, data modeling approaches, and your analytical problem-solving methodology. Prepare real examples of complex data challenges you've solved independently.
  3. 3
    Analytics Case Study or Take-Home Assessment — Design a realistic analytics scenario requiring you to propose data architecture, visualization approaches, and stakeholder communication strategy. This evaluates your end-to-end thinking from raw requirements through presentation-ready insights.
  4. 4
    Stakeholder Collaboration Round — Panel interview with cross-functional partners from Engineering, Research, and Data Science assessing your ability to understand diverse needs, design intuitive data products, and communicate complex safety metrics to varied audiences from technical to executive.
  5. 5
    Leadership Interview — Conversation with Safety Systems leadership evaluating your strategic thinking, ability to own ambiguous high-impact problems, track record of business impact, and cultural fit with OpenAI's mission of developing safe, beneficial AI systems.
  6. 6
    Reference Checks and Background Verification — Professional reference checks and background verification conducted in accordance with San Francisco Fair Chance Ordinance and applicable employment laws for qualified candidates with any criminal history.
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OpenAI

OpenAI

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OpenAI is an American artificial intelligence research organization developing advanced AI models like GPT. Focused on ensuring AI benefits humanity, it creates tools for natural language processing and generative AI applications.

San Francisco, California, United StatesFounded 2015openai.com

Tech Stack

Languages
SQLPython
Frameworks
StreamlitPlotly Dash
Databases
Data Warehouse
Tools
TableauLookerETL/Data Integration Tools
Other
LLM-Powered AnalyticsVersion Control

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