Engineering Manager, Artifacts

OpenAI
San Francisco
Workplace: HybridFull timeUSD 347,000 - 405,000 annuallyFunction: Software EngineeringSkills: ["Technical leadership","Hands-on debugging","System design judgment","Communication","Quality focus"]

Lead and grow the Artifacts engineering team building an AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, and new interactive artifact formats. Set technical direction across full-stack product systems, generation orchestration, editing/rendering, storage, reliability, and model integration. Partner with research and product/design to translate model training and evals into better user experiences, and stay hands-on with architecture, code review, debugging, and planning for the next growth phase.

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FursaFursa
OpenAI
OpenAI
19 hours ago

Engineering Manager, Artifacts

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead and grow the Artifacts engineering team building an AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, and new interactive artifact formats. Set technical direction across full-stack product systems, generation orchestration, editing/rendering, storage, reliability, and model integration. Partner with research and product/design to translate model training and evals into better user experiences, and stay hands-on with architecture, code review, debugging, and planning for the next growth phase.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead, manage, and grow a team building AI-native artifact creation experiences across document and spreadsheet-style products and emerging artifact formats.
  • •Set technical direction across generation orchestration, editing and rendering surfaces, storage, reliability, and model integration.
  • •Be hands-on with architecture, code review, debugging, system design, and critical product decisions.
  • •Partner with research teams to translate model training needs, evals, and behavioral insights into shipped product improvements.
  • •Define the engineering plan for the next phase, including hiring, execution milestones, technical investments, and operating cadence.

Pay and Benefits

Salary: USD 347,000 - 405,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Have experience leading engineering teams while staying technically close to the work.
  • •Strong full-stack product engineering fundamentals and the ability to reason across frontend, backend, infrastructure, and model-facing systems.
  • •Partner effectively with research, ML, product, design, infrastructure, or data teams to translate capabilities and insights into product outcomes.
  • •Demonstrate judgment about building product-specific systems versus reusable platform foundations.
  • •Care about craft and quality across latency, reliability, and user experience, and be able to communicate clearly and raise the team’s bar.
Experience:AI-native creationMLResearch collaboration
Skills:Technical leadershipHands-on debuggingSystem design judgmentCommunicationQuality focus

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
Glassdoor: 4.4
WebsiteLinkedInGlassdoor