Analytics Engineer, Safety Systems

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
210K-260K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The Role
Build and maintain canonical safety datasets and analytics products (dashboards, reports, agentic workflows). Partner with Engineering, Research, and Data Science to define, instrument, and communicate safety metrics, ensure data quality, and enable stakeholders and AI agents to extract reliable insights to inform product decisions and strategy.
Summary Generated by Built In

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.

Learn more about OpenAI’s approach to safety

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.

In this role, you will:

  • 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.

You might thrive in this role if you are/have:

  • 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.

You could be an especially great fit 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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Skills Required

  • 5+ years of experience in a relevant data role within dynamic, outcome-driven organizations.
  • 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.
  • Demonstrated ability to independently own ambiguous, high-impact business problems and drive clear recommendations and execution.
  • Excellent communication skills, with ability to collaborate with researchers, engineers, data scientists, and executives.
  • Best-in-class attention to detail and unwavering commitment to accuracy.
  • Experience using or building agentic data tools, LLM-powered analytics, or other AI-assisted data workflows.
  • Proven track record of delivering significant business impact, preferably within Finance, Sales, Support, or other GTM domains.
  • Based in San Francisco, CA and able to work hybrid (3 days in office per week).
  • Experience in trust and safety, integrity, anti-abuse, or related fields.
  • Familiarity with advanced custom visualization frameworks 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.

OpenAI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OpenAI and has not been reviewed or approved by OpenAI.

  • Equity Value & Accessibility Equity is considered substantial and has become more accessible through tender offers and eased vesting terms. Feedback suggests this provides meaningful upside beyond base pay for many technical roles.
  • Parental & Family Support Parental leave spans 20–24 weeks with post-leave flexibility, alongside generous fertility coverage and family planning support. Feedback suggests these programs materially support caregivers and families.
  • Healthcare Strength Health, dental, and vision insurance are comprehensive and include mental healthcare support. Feedback suggests overall medical coverage is strong and part of a broader wellbeing focus.

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The Company
HQ: San Francisco, CA
4,500 Employees
Year Founded: 2015

What We Do

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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