About this role
Role Overview
Lead the creation and evaluation of AI systems that perform advanced economic reasoning. This role focuses on building rigorous evaluation frameworks, benchmarks, and agentic workflows to measure and improve model performance on real world economic research and policy problems. You will combine applied economic research, econometric analysis, and systems thinking to advance enterprise AI capabilities in economics.
Key Responsibilities- Design and iterate evaluation frameworks for AI in economic domains, including benchmarks, scoring methodologies, and quality rubrics.
- Conduct applied research on economic reasoning and empirical analysis, and translate results into measurable model improvements.
- Develop datasets, test cases, and benchmark environments that reflect real world economic research and policy challenges.
- Collaborate with researchers, economists, engineers, and product teams to evaluate and improve economics focused AI models and agentic systems.
- Analyze model behavior and failure modes to identify research directions and improve performance.
- Apply econometric methods, causal inference techniques, and statistical analysis to assess AI capabilities on economic tasks.
- Produce technical reports, research outputs, and best practice guidance that inform model development and evaluation.
- Monitor advances in AI, econometrics, and economic research and incorporate new methods into evaluation work.
- PhD in Economics or a closely related quantitative field.
- 3 to 5 years of post PhD experience in applied economic research in industry, academia, or public policy.
- Expertise in one or more areas such as labor economics, macroeconomics, industrial organization, productivity, technological change, or AI economics.
- Strong background in econometrics, applied microeconomics, and causal inference.
- Experience working with large datasets using SQL and statistical programming languages such as Python or R.
- Demonstrated record of empirical research or development of analytical methodologies.
- Excellent analytical, critical thinking, and problem solving skills.
- Strong written and verbal communication skills, with experience producing research papers, technical reports, or policy briefs.
- Experience collaborating across research, engineering, product, or policy teams.
Required Skills
- Economic Research
- Enterprise AI
- Benchmarking
- Agentic Economic Workflows
Preferred Experience
- Developing or evaluating economics focused AI systems, agentic workflows, or benchmarking environments.
- Familiarity with enterprise AI challenges and opportunities for economic research.
- Participation in cross functional initiatives that bridge economics, engineering, and product development.
- Employment type: Full time.
- Location: Remote.
- Listed total compensation range: $400, 000 to $800, 000 per year.
- National base salary range disclosed for this full time position: $200, 000 to $250, 000 per year.
- All employees are eligible for equity compensation.