Engineering Manager, Rosalind Workbench

# Engineering Manager, Rosalind WorkbenchOpenAISan Francisco (Hybrid)Full-time$401,000 – $536,000 / yearAI tools:GPT-RosalindCodexUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThe Engineering Manager will lead the team building Rosalind Workbench, a scientific environment for research workflows, tools, and data. The role combines team leadership and technical direction with hands-on work to make AI-enabled scientific capabilities reliable and useful to researchers.* Full-time* Hybrid### Skills and expertiseAI agentsModel inferenceTool orchestrationWorkflow orchestrationLocal and remote computeObservabilityReproducible computationArtifact versioning### Key responsibilities* Hire and develop engineers while setting technical direction for Rosalind Workbench.* Guide architecture and delivery across scientific workflows, agent orchestration, and supporting infrastructure.* Improve production reliability, scientific reproducibility, and model feedback and evaluation processes.## How this job comparesCompared with 203 open manager engineering jobs on October 10, 2026.Pay: This job pays $401K to $536K a year. The 113 open manager engineering jobs that publish US pay start at $199K on average, so this job starts about 102% higher.Similar open jobs: We Love AI Jobs lists 203 open manager engineering jobs at 92 companies.Remote work: This job is hybrid. 31 of the 203 manager engineering jobs (15%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The team builds an AI-enabled scientific product that uses OpenAI models, including GPT-Rosalind, and agent and tool orchestration. The manager will guide model-related product capabilities and evaluation alongside core engineering work.## Full descriptionAbout the teamLife sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work.Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions.About the roleWe’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases.This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use.In this role, you will• 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 the 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.You might thrive in this role if you• Have experience managing engineering teams that ship and operate complex software products.• Bring strong software engineering fundamentals and the technical judgment to work across user-facing applications, backend services, data systems, and compute infrastructure.• Have helped turn early prototypes or research capabilities into reliable products used by external customers.• Can create clarity in ambiguous situations, communicate technical decisions plainly, and coordinate teams with different priorities and reporting structures.• Care deeply about product usability and can translate expert workflows into software that users can understand, inspect, and trust. #J-18808-Ljbffr