Granica is an AI-driven data optimization platform that leverages advanced compression techniques and intelligent data management to reduce cloud storage costs by up to 80%, enhance performance, and ensure privacy. The company's innovative approach sits beneath the lakehouse architecture, enabling enterprises to handle massive datasets efficiently. Backed by top investors like NEA and Bain Capital Ventures, Granica empowers forward-thinking organizations with a smarter, more cost-effective data infrastructure for the AI era.
Open Positions
Research Product Manager – AI Systems
5+ years of experience in AI, ML infrastructure, or data systems, strong understanding of machine learning systems, and experience working with large-scale data systems
Software Engineer, Infrastructure
5+ years of infrastructure engineering experience, strong coding skills, production-grade Kubernetes experience, and proficiency with infrastructure-as-code
Senior Software Engineer – Foundational Data Systems for AI
5-10 years of experience in distributed systems, columnar formats, and metadata-driven architectures. Proficiency in Java, Rust, Go, or C++
Enterprise Account Executive - remote, US, Canada
6+ years of experience in enterprise sales, proven success selling to Fortune 1000 teams, and deep familiarity with modern data architecture and FinOps
Research Scientist - Mountain View, CA
PhD in Machine Learning, Statistics, Applied Mathematics, or a related field; Research or applied work in areas such as representation learning, generalization theory, probabilistic modeling, or foundational models; Strong grounding in information theory, optimization, or statistical inference
People Operations Manager
5–8+ years of People Operations or HR experience, proven ability to build structure, knowledge of global employment law, and experience managing benefits, compensation, and immigration processes
Staff Software Engineer – Foundational Data Systems for AI
5+ years of experience in distributed systems, architecture, and technical leadership
Enterprise Account Executive
6+ years of quota-carrying enterprise SaaS or data infrastructure sales experience, proven success selling to Fortune 1000 data and engineering teams, and deep familiarity with modern data architecture and FinOps
Engineering Manager – Foundational Data Systems for AI
7+ years of backend or infrastructure engineering experience, with 2+ years leading teams or large projects
Head of Finance — Strategic Finance & Corporate Development
Experience raising $50M–$100M+, scaled a company from Series B/C → Series D → IPO readiness, deep expertise in performance-based compensation systems, and strong understanding of SaaS/AI infrastructure economics