Granica

Build and operate cloud infrastructure, Kubernetes platforms, CI/CD systems, and observability for exabyte-scale data systems and reliable enterprise AI workloads. The role requires 5+ years of infrastructure, platform, or distributed systems experience and strong programming and cloud skills.

Build and optimize distributed compute infrastructure for enterprise-scale analytics and AI workloads, improving query performance, reliability, scheduling, and compute costs. Requires senior-level distributed systems experience and production expertise with Spark or comparable query and data-processing engines.

Build and optimize foundational lakehouse infrastructure for AI, spanning metadata, transactions, table maintenance, storage layout, and query performance at massive scale. The role requires senior systems engineering experience with modern lakehouse technologies, columnar formats, cloud object storage, and systems-oriented programming languages.

Define and build AI evaluation, post-training, and structured data learning systems that improve model performance in production. Partner with researchers and engineers to translate experiments into scalable ML infrastructure.

Leads hands-on technical discovery, proofs of value, deployments, and troubleshooting for enterprise data and AI infrastructure customers. The role requires 5+ years of customer-facing technical experience, strong Apache Spark expertise, and knowledge of distributed systems, cloud infrastructure, and lakehouse technologies.

Enterprise Account Executive responsible for building net-new pipeline, leading technical evaluations and ROI cases, and closing complex multi-year platform deals with data, engineering, and executive buyers in the New York market. Requires 7+ years quota-carrying enterprise sales experience as a new-logo hunter with technical infrastructure selling background.

Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.

Conduct research and build foundational ML models for structured and tabular data, combining statistical learning theory, probabilistic modeling, and large-scale systems. Requires a PhD and strong experience in tabular/relational ML.

Drive full-cycle enterprise sales of AI data infrastructure platform to large organizations, building relationships with data and engineering leaders and closing complex multi-year deals.

Founding Head of Finance to lead capital strategy, FP&A, and performance systems for a high-growth AI infrastructure startup. Requires experience raising $50M+ rounds and scaling from Series B to IPO.

People Operations Manager building HR infrastructure, talent programs, and culture for a fast-growing AI startup scaling from 40 to 80 employees. Owns full employee lifecycle, compliance, immigration, and engagement initiatives in a high-ambiguity environment.