Program Manager, Foundations Data and Operations

About the Role

The successful candidate will be part of a high-impact team responsible for advancing the intelligence of Openai's models, which have the potential to benefit hundreds of millions of people worldwide. The team's work involves running complex data acquisition programs, such as web crawlers and data partnerships, and collaborating with researchers to build training datasets.

As a Program Manager at Openai, you will have the opportunity to work on challenging problems, develop innovative solutions, and contribute to the company's mission to ensure that general-purpose artificial intelligence benefits all of humanity.

What You Will Do

• Lead programs to acquire training data for AI model development, working closely with researchers to define requirements and priorities.
• Design and manage data acquisition workflows, ensuring data quality, timelines, and scalability.
• Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance.
• Identify gaps in the data ecosystem and drive initiatives to strengthen data acquisition and creation capabilities.
• Translate research objectives into clear technical requirements and operational plans.
• Lead vendor and partner engagements for data sourcing, including evaluating suppliers, negotiating agreements, and managing delivery.
• Collaborate with cross-functional stakeholders, including researchers, engineers, and business teams, to drive alignment and execution.
• Develop and maintain documentation of data acquisition processes and workflows.
• Stay up-to-date with industry trends and developments in data operations and AI research.

What We Are Looking For

• 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company.
• Experience taking end-to-end ownership of large, ambiguous problems and breaking them down into clear, actionable plans.
• Direct experience engaging with executives and senior leaders to influence and drive strategic decisions.
• Excellent analytical skills, with the ability to ask and answer critical questions and present results clearly to leaders.
• Strong communication and cross-functional collaboration skills.
• Experience with data analysis and operations, including data quality, workflow management, and metrics development.
• Passion for technology and artificial intelligence, and interest in its impact on business and society.

Nice to Have

• Experience working in the AI or technology industry, with knowledge of AI research and development.
• Familiarity with data acquisition tools and technologies, such as web crawlers and data partnerships.
• Certification in data analytics or operations, such as Certified Data Analyst (CDA) or Certified Analytics Professional (CAP).
• Experience with project management tools and methodologies, such as Agile or Scrum.

Benefits and Perks

• Competitive compensation package, including salary and equity.
• Comprehensive health insurance, including medical, dental, and vision coverage.
• Flexible PTO policy, with generous vacation and sick leave allowances.
• Remote work stipend, including reimbursement for home office expenses and equipment.
• Professional development opportunities, including training and conference attendance.
• Access to cutting-edge technology and tools, including AI and data analytics software.
• Collaborative and dynamic work environment, with a team of experienced professionals.

• Highlight your experience in data operations and analysis, including any relevant tools or technologies you've used.
• Be prepared to provide specific examples of how you've driven alignment across technical and business teams.
• Show a passion for AI and its impact on business and society, and be ready to discuss how your skills can contribute to Openai's mission.
• Develop a strong understanding of the company's products and services, and be prepared to ask informed questions during the interview process.
• Consider creating a portfolio or case study that demonstrates your skills in data acquisition and operations, and be prepared to walk the interviewer through your approach and results.
• Don't be afraid to ask about the company culture and values, and how they impact the way the team works and collaborates.
• Be prepared to negotiate salary and benefits, and have a clear understanding of your worth and the market rate for your skills and experience.