Job description
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. The role sits at the intersection of ML infrastructure, research, and product, with a focus on systems spanning model evaluation and benchmarking, post-training and feedback loops, and structured and relational data learning.
Company
Tech, Software & IT Services
Granica builds a next‑generation AI‑driven data platform that compresses, selects, and secures data at the lakehouse layer, enabling enterprises to cut cloud storage costs by up to 80% while boosting performance and simplifying operations. The company’s core focus is lossless compression, intelligent data pruning, and privacy‑preserving techniques that operate directly on petabyte‑scale workloads in production environments. By merging deep expertise in AI research, distributed systems, and business strategy, Granica redefines how data is managed, moved, and leveraged for AI applications. Its solutions help forward‑thinking organizations build a smarter, cost‑efficient data layer that powers the next generation of AI workloads. Backed by leading investors such as NEA and Bain Capital Ventures, Granica is positioned as a disruptive force in data infrastructure.
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