Tech Stack
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.
AI @ 3
BI
Communication @ 3
Data Science @ 3
ETL @ 3
GenAI
Generative AI @ 3
LLM @ 3
Leadership @ 3
Looker @ 3
NLP @ 3
SQL @ 3
Tableau @ 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 the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.
About the Role
As an Analytics Engineer in Safety Systems, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving 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: defining intuitive, reliable ways for stakeholders across Safety Systems, partner teams, and leadership to understand the safety of our products, answer safety-related questions independently, and inform product decisions and company strategy.
Most importantly, you will be a core member of the Safety Systems team, collaborating with researchers and engineers to advance our goals of safe, robust, and reliable AI.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer 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.
- Work closely with stakeholders in Engineering, Research, and Data Science to understand their decision-making needs and design intuitive ways to consume complex safety metrics, including dashboards, reports, agentic workflows and other data products.
- Ensure that analytics and visualizations are both 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, with demonstrated ability to collaborate with researchers, engineers, data scientists, and executives alike.
- Best-in-class attention to detail and 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.
Additional Fit (Especially Great If You 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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 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 company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.