← All roles

Engineering Manager, Rosalind Workbench

OpenAI· Life Sciences
Apply on company site
Hybrid (San Francisco)$401k - $536kFull-timePosted 3w ago

About the role

Engineering Manager to lead the Rosalind Workbench team, coordinating product, research, and infrastructure to deliver scientific workflows and tools within OpenAI’s Life Sciences effort.

Responsibilities

  • Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work.
  • Drive technical planning and delivery. Translate scientific and customer needs into scoped milestones. Make explicit tradeoffs, resolve dependencies, and keep a small team focused as the product and research agenda evolve.
  • Shape the Workbench architecture. Guide development across scientific interfaces, agent and tool orchestration, local and remote compute, durable execution, and persistent project state. Build shared components that support new scientific workflows.
  • Make scientific work inspectable and reproducible. Preserve inputs, versions, results, and decisions behind an analysis. Ensure scientists can move between conversations, viewers, and follow-up investigations without losing context or control.
  • Own engineering quality in production. Establish testing, release practices, observability, and an effective on-call process. Improve workflow reliability, latency, and cost, and lead resolution of problems that prevent scientists from completing their work.
  • Coordinate across teams and partners. Align with Codex on shared platform capabilities and with customer-facing engineers on deployment needs. Lead technical decisions about building or integrating scientific tools, specialist models, data sources, and experimental service providers.
  • Turn customer learning into reusable improvements. Work directly with scientists and design partners to understand their workflows. Address enterprise requirements such as private compute, credentials, networking, permissions, and data handling, with clear ownership for common product improvements and customer-specific integrations.
  • Connect product engineering with research. Help turn capabilities proven in internal research into supported product features. Build instrumentation and feedback pipelines that measure successful workflows and repeat use, and support evaluation and model improvement under explicit consent and data-use requirements.
  • Build safety and trust into the product. Partner with security, privacy, and safety teams to implement appropriate access controls, review points, auditability, and retention policies throughout scientific workflows.

Qualifications

  • Experience managing engineering teams that ship and operate complex software products.
  • Strong software engineering fundamentals and technical judgment across user-facing applications, backend services, data systems, and compute infrastructure.
  • Experience turning early prototypes or research capabilities into reliable products used by external customers.
  • Ability to create clarity in ambiguous situations, communicate technical decisions plainly, and coordinate teams with different priorities and reporting structures.
  • Commitment to product usability and translating expert workflows into software that users can understand, inspect, and trust.
  • Track record of building teams where engineers take ownership, learn quickly, and maintain high standards while shipping.
  • Motivation for scientific discovery and willingness to learn closely from scientists and domain experts.
  • Desired: background in scientific software, computational biology, bioinformatics, chemistry, or laboratory workflows.
  • Experience with AI agents, model inference, tool integrations, or evaluation infrastructure.
  • Experience with workflow orchestration, long-running jobs, reproducible computation, or artifact versioning.
  • Experience with enterprise software deployed with private data, customer-managed infrastructure, and organizational access controls.
  • Experience with developer platforms enabling reusable tools or workflows.

Skills

Required:Engineering leadershipSoftware architecture and designCross-team collaboration

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
  • 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 additional paid company office closures
  • Paid sick or safe time (1 hour per 30 hours worked, or as required)
  • 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 (e.g., charitable donation matching, wellness stipends)
  • Details available during hiring process
Last updated Oct 1, 2026. Interested? Apply on the company site.

About OpenAI

ai-infrastructure-and-developmentliquid-ai-recruiting-targetllmsetter-30setter-30-2026-q1speech-to-texttext-to-speechvoice-ai-stack
Company profileWebsite

More open roles at OpenAI