Research Product Manager at Granica - ScoutJobs - The AI-curated global job board
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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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Research Product Manager

Granica · San Francisco

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