Startups · AI

Research Product Manager – AI Systems

Granica · Bay Area Office · On-site

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About Granica

Granica reduces the cost of enterprise AI across data storage, data processing, and agent compute. Everything runs inside your perimeter, and you keep the intelligence your data builds. Backed by NEA.

About the role

Granica is hiring a Research Product Manager to turn frontier AI research into systems that create real value from enterprise data. You’ll work at the intersection of AI/ML systems, structured data, research, and product , helping define:

What they're looking for

  • 5+ years of product leadership or equivalent technical ownership in AI/ML, data systems, infrastructure, or applied research
  • Strong technical judgment and ability to work directly with researchers and engineers
  • Experience taking complex technical products or systems from concept to production
  • Ability to reason about quality, performance, cost, and real-world outcomes
  • AI / ML platforms or infrastructure
  • model evaluation, training, post-training, inference, or experimentation
More about this role

Granica is building the efficiency and intelligence layer for enterprise AI .

Crunch makes massive enterprise data cheaper and easier to operate.

Large Tabular Models learn from structured data to support shared intelligence across many capabilities.

Myelin makes long-running AI agents more efficient and durable.

Granica has processed hundreds of petabytes of tabular data in production , and our research is led by Stanford Professor Andrea Montanari .

Work model: On-site, five days per week

Level: Senior / Staff / Principal

Granica is hiring a Research Product Manager to turn frontier AI research into systems that create real value from enterprise data.

You’ll work at the intersection of AI/ML systems, structured data, research, and product , helping define:

how models learn from real-world data

how model quality and emerging capabilities are evaluated

how research becomes production systems

how technical improvements translate into economic value

Experience with structured or tabular data is a major advantage, but we are equally interested in exceptional product leaders from AI systems, ML infrastructure, evaluation, training/post-training, and applied ML .

This is not a...

Read the full posting on Granica's site ↗

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