Why This Job is Featured on The SaaS Jobs
This Analytics Engineer role sits at the intersection of product deployment and risk management, a space that has become increasingly central as SaaS companies ship AI capabilities into real-world workflows. Safety Systems work tends to demand instrumentation that can stand up to scrutiny, where metrics are not just descriptive but tied to operational decisions about reliability, abuse resistance, and release readiness.
For a SaaS career, the distinctive value is the chance to build durable analytics foundations rather than one-off reporting. Owning canonical datasets and a consumption layer for metrics mirrors how mature SaaS organizations scale decision-making across many stakeholders. The emphasis on self-serve data products and machine-readable interfaces also maps to a broader industry shift toward analytics that supports automation and agent-assisted workflows, a skill set that transfers across data platform, product analytics, and governance-oriented teams.
This role is best suited to someone who prefers ambiguous problem spaces and can translate complex technical concepts into clear, trusted artifacts for mixed audiences. It will fit professionals who enjoy partnering closely with engineering and research functions, and who take a rigorous approach to data quality when the downstream impact includes product and policy choices.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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