Granica
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔒 Cybersecurity
Artificial Intelligence • SaaS • Cybersecurity
Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.
Engineering Manager
🕒 August 27, 2025
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Granica
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
🔒 Cybersecurity
Artificial Intelligence • SaaS • Cybersecurity
Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.
📋 Description
• Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack • Eliminate inefficiencies in modern data platforms—reduce storage and compute costs and accelerate pipelines • Lead and build a team of 8–10 engineers shipping core platform services across the AI data stack • Stay 40% hands-on in areas like Spark shuffles, Iceberg metadata stores, and vectorized engines • Translate research into production—own path from prototype to hardened, planet-scale systems • Coach architecture & velocity, instill rigor, and own quarterly outcomes (P90 latency, 4+ nines reliability)
🎯 Requirements
• 7+ years in backend or infra engineering roles, with 2+ years as a tech lead or manager • Proven success building and leading high-caliber teams in performance-critical environments (e.g. databases, ML infra, lakehouse systems) • Deep experience with distributed compute frameworks (Spark, Trino, Presto) and columnar storage formats (Parquet, ORC) • Familiarity with Iceberg or Delta Lake internals • Strong system design instincts and ability to guide teams through trade-offs • Track record of balancing hands-on execution with leadership, mentorship, and delivery • Passion for building foundational technology that changes how data is used at scale
🏖️ Benefits
• Competitive salary and equity • Premium healthcare, vision, and dental • Flexible hybrid work setup (Mountain View HQ) • Unlimited PTO + quarterly recharge days • Stipends for learning, publishing, or open-source engagement
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