Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- Experience working with data structures or machine learning algorithms.
Preferred qualifications:- Experience in understanding Gen AI and Agentic AI workflows with experience around workflow design and improvement.
- Experience managing or collaborating with highly specialized domain expert pools (e.g., legal, medical, finance, marketing etc.) with knowledge of best practices on leveraging the human data generated for driving model performance.
- Expertise in both qualitative and quantitative research methodologies (e.g., focus group discussions, psychometrics, survey design, and structured interviewing).
- Robust understanding of Gen AI and Agentic AI with firsthand experience in partnering with research scientists, data scientists, engineering teams to build and train AI models.
About the jobWe are seeking a visionary, highly strategic, and operationally rigorous Senior Leader to help transform our AI data ecosystem. This critical role bridges the gap between insights from our frontline human data generation domain experts, data collection operations and our core AI research, data science, and engineering organizations. Successful candidate should be able to transform raw feedback from domain experts into actionable market intelligence that helps improve tooling infrastructure and provides insights into AI model improvement areas.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $334000 (USD) 25% bonus target equity benefits
Responsibilities - Define and execute the end-to-end strategy for capturing qualitative and quantitative insights from the expert pools globally.
- Act as a strategic thought partner collaborating with research scientists, data scientists, and software engineering leads to convert expert-derived insights into product roadmap, and improved model training/evaluation methodologies.
- Design and embed frictionless, real-time feedback mechanisms directly within core data generation tool to capture insights instantly across projects.
- Build and manage a central knowledge hub on human data trends, methodologies, and competitor insights through expert focus groups, interviews, and vendor assessments.
- Serve as AI Data Operations leader in the US representing the team in all strategic conversations around human data, bridge the gap by alignment with other team members and leaders globally.
