Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $207K - $230K per year, with additional compensation including generous equity, performance-related bonuses, and benefits.
Benefits include:
- Medical, dental, and vision insurance for you and your family
- 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)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
About the Team
OpenAI's Research Data team exists to accelerate the evaluation, safety, and capabilities of our models and products. The team designs methods for acquiring and creating data.
About the Role
As a Data Program Manager, Science, you will help researchers develop and execute scientific data programs, connecting OpenAI's research priorities with relevant data, expertise, and external partners. You will work closely with researchers to understand their needs, assess opportunities, and develop partnerships across the scientific ecosystem.
Responsibilities
- Develop data strategies with Research, translating research goals into evidence needs and success criteria
- Find distinctive sources for research, building trusted relationships across research and industry
- Assess opportunities in scientific context, inspecting samples for provenance, context, quality, and completeness
- Shape partnerships with lasting scientific value, defining pilots, deliverables, and acceptance criteria
- Lead commercial and operational execution, developing proposals, assessing pricing, and negotiating terms
- Navigate sensitive collaborations, identifying ethical, privacy, security, and misuse concerns
- Follow through into research use, coordinating preparation, ingestion, access, and documentation
- Make thoughtful portfolio decisions, recommending options based on research value, cost, timing, and capacity
- Make the work more repeatable, using code, APIs, automation, and AI tools to improve sourcing, assessment, and delivery
Requirements
- Substantial grounding in biology, chemistry, or related sciences
- Experience delivering complex scientific, data, or partnership projects
- Sound judgement, with ability to test claims and make clear recommendations
- Ability to work directly with data, inspecting unfamiliar files and using Python, SQL, APIs, and AI-assisted coding
- Strong communication and negotiation skills, with ability to build trust through careful listening and precise questions
- Discretion and ability to recognise limits of expertise and authority
- Ability to thrive in a fast-moving environment, taking broad ownership across multiple projects
- Willingness to learn exceptionally quickly, developing understanding of AI training, evaluation, and unfamiliar research areas