Research Product Manager – AI Systems

About the role

We’re hiring a Research Product Manager to define and build core systems that determine how AI models are evaluated, improved, and deployed on real-world data. You’ll Work On Systems Spanning model evaluation and benchmarkingpost-training and feedback loopsstructured and relational data learningperformance, efficiency, and cost optimization.

Mission

The Mission AI today is no longer bottlenecked by model architecture alone. The Real Constraints Are how models are evaluatedhow they improve after traininghow they behave in real-world systems

Skills And Qualifications

• Minimum Qualifications: 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

Preferred Qualifications

• 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

Ideal Backgrounds

• ML / AI infrastructure PMs (OpenAI, Google, Meta, Snowflake, Databricks, AWS, or similar)
• Product leaders in model systems, evaluation, or observability
• Research engineers or applied scientists transitioning into product
• Engineers who have built ML or data systems and taken on product ownership

Logistics

• Location: Mountain View, CA
• Work model: On-site, five days per week
• Level: Senior / Staff / Principal (depending on experience)

Compensation & Benefits

• Competitive salary, meaningful equity, and performance bonus for top performers
• 401(k) with company match, comprehensive health coverage, and unlimited PTODaily catered meals in our Mountain View office
• Support for research, publication, and conference participation