Research Product Manager – 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

Requirements

• 5+ years of experience in product management, technical program management, or similar roles in AI, ML infrastructure, or data systems
• Strong understanding of machine learning systems, including training, evaluation, and deployment
• Experience working with large-scale data systems or distributed infrastructure
• Ability to reason about trade-offs across data, compute, performance, and cost
• Track record of driving complex technical systems from concept to production

Nice-to-Haves

• Experience with ML platforms, LLM systems, or AI infrastructure
• Experience with evaluation systems, observability, or model performance tooling
• Familiarity with structured or relational data systems (e.g., warehouses, lakehouses)
• Background in engineering, applied research, or ML systems development
• Experience operating in research-driven or highly ambiguous environments