Engineering Manager, Rosalind Workbench

OpenAI
San Francisco
Workplace: HybridFull timeUSD 401,000 - 536,000 annuallyFunction: Software EngineeringSkills: ["Leadership","Technical judgment","Communication","Cross-team coordination","Product usability focus"]

Lead the engineering team building Rosalind Workbench and the infrastructure behind it. Drive technical planning and delivery, shape a scalable architecture for scientific interfaces and AI agent/tool orchestration, and ensure production quality with testing, release practices, observability, and on-call. Coordinate with product, design, research, Codex engineering, and customer-facing teams to turn scientific prototypes into reliable, reproducible, safe customer workflows.

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FursaFursa
OpenAI
OpenAI
2 days ago

Engineering Manager, Rosalind Workbench

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead the engineering team building Rosalind Workbench and the infrastructure behind it. Drive technical planning and delivery, shape a scalable architecture for scientific interfaces and AI agent/tool orchestration, and ensure production quality with testing, release practices, observability, and on-call. Coordinate with product, design, research, Codex engineering, and customer-facing teams to turn scientific prototypes into reliable, reproducible, safe customer workflows.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build and lead the engineering team by hiring, coaching technical leaders, and establishing ownership and accountability.
  • •Drive technical planning and delivery by translating scientific and customer needs into milestones, managing tradeoffs and dependencies, and keeping the team focused.
  • •Shape Workbench architecture across scientific interfaces, agent/tool orchestration, compute execution, and persistent project state; build shared components for new workflows.
  • •Ensure scientific work is inspectable and reproducible by preserving inputs, versions, results, and analysis decisions to maintain context across tasks.
  • •Own production engineering quality with testing, release practices, observability, and an effective on-call process; improve reliability, latency, and cost and resolve blockers that prevent work completion.

Pay and Benefits

Salary: USD 401,000 - 536,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Have experience managing engineering teams shipping and operating complex software products.
  • •Bring strong software engineering fundamentals and technical judgment across user-facing applications, backend services, data systems, and compute infrastructure.
  • •Helped turn early prototypes or research capabilities into reliable products used by external customers.
  • •Create clarity in ambiguous situations and communicate technical decisions plainly while coordinating teams with different priorities.
  • •Care about product usability and ability to translate expert workflows into software that users can inspect and trust.
Experience:Scientific softwareComputational biologyBioinformaticsChemistryLaboratory workflowsAI agentsEnterprise software
Skills:LeadershipTechnical judgmentCommunicationCross-team coordinationProduct usability focus
Tech Stack:GPT-RosalindAI agentsModel inferenceTool orchestrationWorkflow orchestrationLong-running jobsReproducible computationArtifact versioningObservabilityOn-callInstrumentationEvaluation infrastructure

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·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
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