Used Tools & Technologies
BI GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
SQL @ 3
Looker @ 3
Tableau @ 3
ETL @ 3
Data Science @ 3
Leadership @ 3
Communication @ 3
NLP @ 3
LLM @ 3
Generative AI @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the Team
The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on years of practical alignment and applied safety work, Safety Systems addresses emerging safety issues and develops solutions to enable the safe deployment of advanced models and future AGI.
Role
As an Analytics Engineer in Safety Systems, you will build a data-centric culture, enhance decision-making, and drive strategic initiatives through analytics. You will partner closely with Engineering, Research, and Data Science to develop and maintain canonical data sources and source-of-truth dashboards that enable both people and AI agents across the organization to derive trustworthy, actionable insights. You will own the consumption layer for safety metrics and design intuitive, reliable ways for stakeholders to understand product safety, answer safety-related questions independently, and inform product decisions and company strategy.
This role is based in San Francisco, CA. The team uses a hybrid work model (3 days in the office per week) and offers relocation assistance to new employees.
Responsibilities
- Design and maintain canonical datasets that serve as sources of truth for safety metrics.
- Develop and refine data products such as dashboards, reports, agent-enabled workflows, and machine-readable interfaces that empower stakeholders to extract and analyze data independently.
- Partner closely with stakeholders in Engineering, Research, and Data Science to understand decision-making needs and design intuitive consumption patterns for complex safety metrics.
- Ensure analytics and visualizations are accurate and user-friendly, incorporating user experience principles.
- Advocate for data quality, consistency, and reliability across analytics products.
Requirements
- 5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.
- Demonstrated ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.
- Highly autonomous and resourceful, with a track record of navigating data, stakeholder, and operational blockers.
- Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.
- Experienced in using business intelligence tools such as Tableau and Looker to communicate insights and enable self-serve.
- Excellent communication skills and demonstrated ability to collaborate with researchers, engineers, data scientists, and executives.
- Strong attention to detail and an unwavering commitment to accuracy.
- Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.
- Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.
Nice to Have
- Experience in trust and safety, integrity, anti-abuse, or related fields.
- Familiarity with advanced custom visualizations such as Streamlit and Plotly Dash.
- Demonstrated prior experience in NLP, large language models, or generative AI.
- Experience building data products used by a broad range of stakeholders, from technical practitioners to company leadership.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and multiple paid coordinated office closures throughout the year.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks will be administered in accordance with applicable law.