Granica reduces the cost of enterprise AI across data storage, data processing, and agent compute. Everything runs inside your perimeter, and you keep the intelligence your data builds. Backed by NEA.
About the role
Granica is hiring a Forward Deployed Engineer to become the technical bridge between our customers, Engineering, Product, and GTM teams. You will work directly inside complex enterprise data environments to understand workloads, investigate performance and cost problems, deploy Granica, run technical evaluations, and turn the results into clear customer recommendations.
What they're looking for
- 5+ years in Forward Deployed Engineering, Data Engineering, Solutions Architecture, Sales Engineering, or a similarly hands-on technical role
- Strong hands-on Apache Spark experience , including production workloads, debugging, performance tuning, and distributed execution behavior
- Strong understanding of distributed data systems and modern cloud data infrastructure
- Experience with lakehouse technologies such as Apache Iceberg, Delta Lake, Parquet, Hive, or comparable systems
- Strong SQL skills and proficiency in Python, Scala, Java, or another relevant programming language
- Experience diagnosing performance or reliability problems using data and experimentation
More about this role
Granica is building the efficiency and intelligence layer for enterprise AI .
Enterprises already operate enormous proprietary data estates and increasingly build AI systems on top of them, but the underlying infrastructure remains fragmented, expensive, and inefficient.
Crunch — efficiency for enterprise data
Large Tabular Models — intelligence for enterprise structured data
Myelin — efficiency for stateful, long-running AI agents
Crunch continuously optimizes large enterprise lakehouse environments across technologies such as Apache Spark, Iceberg, Delta Lake, Parquet, Snowflake, and Databricks — reducing storage and compute cost while improving data layout and operational efficiency.
Granica has already processed hundreds of petabytes of customer data for companies including Snap, Pinterest, Lyft, and ShareChat, with customers able to validate meaningful savings within weeks.
Granica is hiring a Forward Deployed Engineer to become the technical bridge between our customers, Engineering, Product, and GTM teams.
You will work directly inside complex enterprise data environments to understand workloads, investigate performance and cost problems, deploy Granica, run technical...
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