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 $239K – $328K, with generous equity, performance-related bonuses, and the following 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 (parking and transit)
- 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 multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the Team
OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-5, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.
About the Role
As a Research Program Manager (RPM) in the Human Data team, you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.
Responsibilities
- Collaborate with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.
- Design and execute data collection campaigns, translating research needs into actionable plans and accelerating execution by leveraging existing tooling and iterating to reach the desired outcome.
- Unblock yourself by figuring out how to achieve at least partial success in the interim, with the technical acumen and drive to implement scrappy new solutions.
- Optimize systems and processes by building and optimizing dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights.
- Drive technical roadmaps by collaborating with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management.
- Scale your impact by advising and empowering program managers and vendors to drive day-to-day execution, allowing you to focus on addressing high-priority opportunities.
Requirements
- Proficiency in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights.
- Proficiency in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows.
- Proficiency in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making.
- Experience working at large scale across a portfolio of projects.
- Ability to get hands dirty, with grit and creative problem-solving required daily.
- Action-oriented and deeply curious mind.
- Ability to learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you.
- High horsepower, adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization.
- Thrives in dynamic environments and can navigate ambiguity with ease.