Research Product Manager – AI Systems

Granica is a research and systems company focused on building core systems for AI model evaluation and deployment. The Research Product Manager will define and drive systems for model evaluation, benchmarking, and real-world performance, partnering closely with engineers and researchers to enhance AI systems.

Responsibilities:

• Define and drive systems for model evaluation, benchmarking, and real-world performance
• Build product direction for post-training systems and feedback loops that continuously improve models
• Define how models learn from large-scale structured and relational datasets
• Partner with engineering to build systems that connect data platforms (warehouses, lakehouses) with ML systems
• Own how improvements move from research experiments into production systems
• Model trade-offs across compute, data efficiency, performance, and cost
• Identify where system improvements drive measurable business impact