Granica Offices

Build Granica’s marketing function from the ground up, defining positioning, messaging, category narrative, customer proof, sales enablement, thought leadership, launches, events, PR, and analyst relations. Partner with executive, product, research, engineering, and sales teams to translate complex AI and data infrastructure capabilities into enterprise value. Establish marketing priorities, channels, measurement, and eventually a team while connecting efforts to pipeline, adoption, bookings, and revenue.

Build and scale backend APIs, distributed data pipelines, and data platform infrastructure. The role involves lakehouse and warehouse technologies, workflow orchestration, big data frameworks, infrastructure as code, and reliability monitoring. The engineer will design scalable, reliable, cost-efficient systems, collaborate with customers on integrations, and establish engineering best practices for enterprise AI data infrastructure.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.