OpenAI

1 month ago

Analytics Engineer, Safety Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Build and maintain data-driven decision support for safety initiatives. Own canonical datasets and source-of-truth dashboards, partnering with Engineering, Research, and Data Science to deliver reliable, actionable safety insights and analytics for stakeholders and leadership in a hybrid San Francisco-based team.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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.

Pay and Benefits

Salary: USD 210,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•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.
•Experience using or building 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.
•Ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.

Experience:5+ yearsAi safetyData analytics

Skills:CommunicationProblem-solving

Tech Stack:SQLTableauLookerETLDashboards

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 month ago

Analytics Engineer, Safety Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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.

Pay and Benefits

Salary: USD 210,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•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.
•Experience using or building 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.
•Ability to independently own ambiguous, high-impact business problems, from structuring the analytical approach to driving clear recommendations and execution.

Experience:5+ yearsAi safetyData analytics

Skills:CommunicationProblem-solving

Tech Stack:SQLTableauLookerETLDashboards

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor