
Granica is a pioneer in AI-driven data optimization, delivering state-of-the-art technologies to help enterprises manage large-scale data volumes used in AI, machine learning, and…

Granica is a pioneer in AI-driven data optimization, delivering state-of-the-art technologies to help enterprises manage large-scale data volumes used in AI, machine learning, and…
Headquarters: Mountain View, California
Founded: 2019
Core product: Crunch — high-performance data compression for AI workloads
Total funding: USD 45,000,000
Team size (reported): 38 employees
Data readiness and optimization for large-scale AI/ML workloads, including compression, privacy/safety, and dataset curation.
2019
Software Development
Company profiles report at least one institutional Series A round; multiple investors are listed across profiles.
“Backed by institutional investors including Bain Capital Ventures, NEA, K9 Ventures, Abstract Ventures, Original Capital, and Uncorrelated Ventures; angel/backers reported include Deepak Ahuja, Kevin Hartz, and Frederic Kerrest.”
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Granica is pioneering data optimization for large-scale AI and analytics. Our unified platform enables enterprises to dramatically reduce storage and compute costs while accelerating data pipelines - unlocking faster, more efficient access to intelligence at petabyte scale.
At the heart of Granica's mission is the belief that data is the foundation of modern AI. Realizing its full potential requires rethinking how data is managed, moved, and made useful. That's why we bring together world-class talent in AI research, distributed systems, and business to tackle the hardest challenges in data at scale.
Backed by leading investors including NEA and Bain Capital Ventures, Granica is helping the world's most forward-thinking organizations build a smarter, more cost-efficient data layer for the AI era.
About Granica
Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information is transformed into usable intelligence.
We’re built to streamline cloud infrastructure, reduce storage and compute costs, and accelerate data pipelines, therefore helping companies turn massive raw datasets into intelligent, usable fuel for AI. In short: we build better data for better AI*.*
Smarter Infrastructure for the AI Era:
We make data efficient, safe, and ready for scale—think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling:
Trusted by Industry Leaders
Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms.
A Deep Tech Approach to AI
We’re unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy:
Backed by the Best
We’ve raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks.
Our Mission
To convert entropy into intelligence, so every builder—human or AI—can make the impossible real.
We’re building the default data substrate for AI, and a generational company built to endure beyond any single product cycle.
Job Summary
We are looking for a SDET (QA Automation Engineer) with hands-on experience in backend testing using Python, and working knowledge of Kubernetes, Apache Spark, and data lake architectures. In this role, you’ll collaborate with engineers across product and platform teams to ensure the quality of services powering our data-driven AI infrastructure.
What You’ll Do
Test Automation
Quality Assurance
Process Improvement
What We’re Looking For
Nice-to-Haves
Why Granica?
Benefits:
Granica celebrates diversity and is committed to creating an inclusive environment for all employees.
We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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