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Posted 6 hours ago
Research Product Manager
GranicaResearch Product Manager – AI Systems
Perks & benefits
Education AllowanceHealth InsuranceMedical InsurancePaid Leave
Requirements
5+ years PM experience in AI/ML infrastructure, Understanding of ML training and evaluation, Experience with large-scale data systems, Ability to manage compute/cost trade-offs
Skills
AIMachine LearningML Infrastructure
About the role
About the Company
Granica is a research and systems company led by Prof. Andrea Montanari (Stanford), focused on building the next generation of enterprise AI. The company specializes in exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents to enable enterprises to own their data and intelligence.
Responsibilities
- Define and drive systems for model evaluation, benchmarking, and real-world performance
- Build product direction for post-training systems and feedback loops
- Define how models learn from large-scale structured and relational datasets
- Partner with engineering to build systems connecting data platforms with ML systems
- Own the transition of improvements 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 (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
Benefits
- Competitive salary, meaningful equity, and performance bonus
- 401(k) with company match
- Comprehensive health coverage
- Unlimited PTO
- Daily catered meals in the Mountain View office
- Support for research, publication, and conference participation
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Get started — it's freeResearch Product Manager
Granica · San Francisco
