OpenAI
OpenAI
OpenAI is an artificial intelligence research and technology company building advanced AI systems with a focus on safety and responsible development. Its products include ChatGPT, which supports everyday and complex professional tasks, and an API platform that enables businesses and developers to integrate AI models into their own applications. Operating across artificial intelligence, SaaS, and enterprise technology, OpenAI combines research, product development, and efforts to improve how AI systems are governed and used.

Engineering Manager, Scientific AI Platform — OpenAI (Hybrid, San Francisco)

Lead engineering for OpenAI’s Rosalind Workbench, an AI-powered platform for scientific research. Build dependable life sciences software, infrastructure, and workflows for scientists and enterprise customers.

Description

  • Recruit and develop engineers, mentor technical leaders, provide feedback, and establish clear ownership and accountability.
  • Set technical direction and translate the product roadmap into focused, dependable releases.
  • Review architecture and code, investigate complex failures, and guide high-impact technical decisions.
  • Turn scientific and customer needs into clearly scoped milestones.
  • Balance tradeoffs, resolve dependencies, and sustain focus as product and research priorities change.
  • Shape architecture spanning scientific interfaces, agent and tool orchestration, local and remote compute, durable execution, and persistent project state.
  • Create shared components that enable new scientific workflows.
  • Preserve analysis inputs, versions, results, and decisions so scientific work remains inspectable and reproducible.
  • Define testing, release, observability, and on-call practices.
  • Improve workflow reliability, latency, and cost while leading production incident resolution.
  • Partner with Codex, product, design, research, customer-facing engineering, security, privacy, and safety teams.
  • Decide when to build or integrate scientific tools, specialized models, data sources, and experimental service providers.
  • Collaborate with scientists and design partners to understand workflows and convert customer insight into reusable improvements.
  • Address enterprise needs involving private compute, credentials, networking, permissions, and data handling.
  • Connect internal research capabilities with supported product functionality.
  • Develop instrumentation and feedback pipelines to measure successful workflows and repeat usage.
  • Support evaluation and model improvement in accordance with consent and data-use requirements.
  • Implement access controls, review checkpoints, auditability, and retention policies throughout scientific workflows.

Requirements

  • Experience managing engineering teams responsible for shipping and operating complex software products.
  • Strong foundations in software engineering.
  • Technical judgment across user-facing applications, backend services, data systems, and compute infrastructure.
  • Experience transforming early prototypes or research capabilities into reliable products for external customers.
  • Ability to bring clarity to ambiguity, communicate technical decisions plainly, and coordinate teams with differing priorities and reporting structures.
  • Strong product usability focus and the ability to turn expert workflows into understandable, inspectable, and trustworthy software.
  • Interest in scientific discovery and willingness to learn from scientists and domain experts.
  • Experience with scientific software, computational biology, bioinformatics, chemistry, or laboratory workflows is especially relevant.
  • Experience with AI agents, model inference, tool integrations, or evaluation infrastructure is especially relevant.
  • Experience with workflow orchestration, long-running jobs, reproducible computation, or artifact versioning is especially relevant.
  • Experience with enterprise software using private data, customer-managed infrastructure, and organizational access controls is especially relevant.
  • Experience with developer platforms for creating, validating, and sharing reusable tools or workflows is especially relevant.
  • Ability to work from the US office three days each week.
  • Authorization to work in the country where the position is based.

Benefits

  • Equity.
  • Performance-based bonuses for eligible employees.
  • Medical, dental, and vision insurance for employees and families, including employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses, including parking and transit.
  • 401(k) retirement plan with an employer match.
  • Paid parental leave of up to 24 weeks for birth parents and 20 weeks for non-birthing parents.
  • Paid medical and caregiver leave of up to 8 weeks.
  • Flexible paid time off for exempt employees and up to 15 days annually for non-exempt employees.
  • At least 13 paid company holidays.
  • Several paid, coordinated company office closures during the year.
  • Paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability insurance.
  • Annual stipend for learning and development.
  • Daily meals at company offices.
  • Meal delivery credits for eligible employees.
  • Relocation support for eligible employees.
  • Matching for charitable donations.
  • Wellness stipends.
  • Immigration and sponsorship support may be available depending on individual circumstances.

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