Engineering Manager, Rosalind Workbench

Details

The Life Sciences team works at the intersection of frontier life sciences model capabilities and products that help scientists accelerate research and leverage AI for scientific work.

Rosalind Workbench brings together scientific tools, data sources, interactive biology file viewers, and core life sciences workflows in a central environment. It supports scientific investigation, experiment design, result analysis, and discovery using OpenAI models, including GPT-Rosalind, a dedicated life sciences model with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications.

This is a hands-on leadership role responsible for building the Rosalind Workbench engineering team and its supporting infrastructure. The Engineering Manager will hire and develop engineers, set technical direction, and turn the product roadmap into focused, reliable releases. The role involves reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions while working closely with product, design, research, Codex engineering, and customer-facing teams.

Responsibilities

• Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work.
• Translate scientific and customer needs into scoped milestones, make explicit tradeoffs, resolve dependencies, and keep the team focused as the product and research agenda evolve.
• 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.
• Preserve the inputs, versions, results, and decisions behind analyses to make scientific work inspectable and reproducible.
• Ensure scientists can move between conversations, viewers, and follow-up investigations without losing context or control.
• Establish testing, release practices, observability, and an effective on-call process.
• Improve workflow reliability, latency, and cost, and lead resolution of production problems that prevent scientists from completing their work.
• 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.
• Work directly with scientists and design partners to understand their workflows and turn customer learning into reusable product improvements.
• Address enterprise requirements such as private compute, credentials, networking, permissions, and data handling.
• Connect product engineering with research by turning internally proven capabilities into supported product features.
• Build instrumentation and feedback pipelines to measure successful workflows and repeat use, supporting evaluation and model improvement under explicit consent and data-use requirements.
• Partner with security, privacy, and safety teams to implement access controls, review points, auditability, and retention policies throughout scientific workflows.

Requirements

• 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.
• Strong product usability focus, with the ability to translate expert workflows into software that users can understand, inspect, and trust.
• Ability to build teams where engineers take ownership, learn quickly, maintain high standards, and ship.
• Motivation to contribute to scientific discovery and learn closely from scientists and domain experts.

Particularly Relevant Experience

• Scientific software, computational biology, bioinformatics, chemistry, or laboratory workflows.
• AI agents, model inference, tool integrations, or evaluation infrastructure.
• Workflow orchestration, long-running jobs, reproducible computation, or artifact versioning.
• Enterprise software deployed with private data, customer-managed infrastructure, and organizational access controls.
• Developer platforms that let users build, validate, and share reusable tools or workflows.

Benefits

• Base salary of $401,000–$536,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave, medical leave, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe 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 eligible meal delivery credits.
• Relocation support for eligible employees.
• Potential additional taxable fringe benefits, including charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer committed to reasonable accommodations and compliance with applicable employment laws.