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Analytics Engineer, GTM

OpenAI· Data Science
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Hybrid (San Francisco), Hybrid (New York City)Full-timePosted 1mo ago

About the role

Full-stack data role within the Go-to-Market (GTM) organization focused on building data-driven insights, metrics, and self-service products to enable decision-making across GTM functions.

Responsibilities

  • Partner closely with GTM teams to identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.
  • Define, source, validate, and operationalize metrics that guide the business and integrate them into planning and day-to-day decisions.
  • Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.
  • Build scalable data models and pipelines transforming data from multiple sources into trusted datasets.
  • Create dashboards, reports, analytical tools, and other data products for self-service analytics.
  • Own the lifecycle of metrics, analytical models, and data products from exploration to production and maintenance.
  • Choose the most effective approach for each problem based on audience, urgency, complexity, and value.
  • Use AI-assisted development tools to increase productivity while maintaining well-documented code, data models, and documentation.
  • Turn complex findings into clear narratives through presentations, memos, dashboards, and other formats.

Qualifications

  • Have 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.
  • Ability to independently structure and own ambiguous, high-impact business problems from framing to execution.
  • Highly autonomous, resourceful, and creative when navigating constraints.
  • Strong judgment in prioritization and investment in durable data products.
  • Deep SQL expertise and experience with large datasets and ETL workflows.
  • Understanding of software and analytics engineering practices and ability to use AI tools responsibly.
  • Proficiency in a quantitative programming language, preferably Python.
  • Experience with BI tools such as Tableau or Looker and enabling self-service analytics.
  • Experience with custom visualization frameworks such as React, Streamlit, or Plotly Dash.
  • Ability to turn complex analysis into persuasive stories via memos, presentations, dashboards, etc.
  • Exceptional attention to detail and accuracy.
  • Experience delivering business impact, ideally in Sales, Finance, Support, or other GTM functions.

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 paid company office closures for focus and recharge, plus paid sick time as required by law
  • 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
  • Relocation support for eligible employees
  • Additional taxable fringe benefits such as charitable donation matching and wellness stipends
Last updated Sep 3, 2026. Interested? Apply on the company site.

About OpenAI

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