
Granica helps enterprises prepare and optimize their data so AI models and analytics run faster, cheaper, and with fewer privacy risks. It applies research-driven techniques—information theory,…

Granica helps enterprises prepare and optimize their data so AI models and analytics run faster, cheaper, and with fewer privacy risks. It applies research-driven techniques—information theory,…
What they do: AI Data Readiness Platform that compresses, curates, and sanitizes data for ML and analytics
Flagship product: Crunch (lossless, entropy-aware compression for data lakes)
Founded / HQ: 2019; Mountain View, California
Funding: $45M reported (early VC / Series A, June 2023)
Target customers: Data- and AI-intensive enterprises (financial services, retail, geospatial, autonomous systems)
Data infrastructure for AI — optimizing storage, compute, and privacy for large-scale ML and analytics
2019
Software Development
$45,000,000
Investors reported to include Bain Capital Ventures, NEA, and individual/backer investors
“Institutional VC backing including Bain Capital Ventures and NEA plus notable individual/backer investors”
Research Product Manager — AI Systems (Structured Data, Evaluation & Learning Efficiency) 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
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This role sits at the intersection of ML infrastructure, research, and product . It is closest to roles like ML platform PM or AI infrastructure PM , but with deeper ownership of how systems are designed and how model performance translates into real-world outcomes.
You’ll partner closely with researchers and engineers to move ideas from experiments into production systems used at scale.
The Mission AI today is no longer bottlenecked by model architecture alone.
The Real Constraints Are
Granica is building the systems that solve this.
We are a research and systems company led by Prof. Andrea Montanari (Stanford) , focused on:
Most real-world data is structured and relational , yet modern AI systems remain poorly optimized to learn from it.
Our Thesis AI advantage will come from how efficiently models learn from structured data—and how that translates into economic value. What You’ll Do
Skills And Qualifications Minimum Qualifications
Preferred Qualifications
Ideal Backgrounds
Why This Role Matters Most AI systems are limited not by model capability, but by:
This role defines how those constraints are solved in production systems.
You won’t be optimizing features—you’ll be defining the systems that determine how models improve, how they are trusted, and how they deliver value.
Logistics
Compensation & Benefits
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI! Compensation Range: $160K - $250K