Multi-location restaurant platform with data-driven operations
Salted operates a restaurant group built on analytics infrastructure (dbt, Snowflake, BigQuery, Python) that surfaces operational inefficiencies, inventory leaks, and kitchen workflow bottlenecks across multiple locations. Heavy hiring in operations roles paired with active projects in kitchen systems, culinary strategy, and rolling forecasts reveals a company scaling from single-unit excellence toward a 100+ location network — a shift that requires real-time cost visibility and cross-functional coordination to lock in consistency.
Salted is a restaurant platform and operating company in Los Angeles focused on scaling multi-unit brands through technology-enabled operations. The company operates restaurants and develops the systems, menu strategies, and operational playbooks needed to run them at volume. The tech stack reflects an operations-first approach: data pipelines (dbt, Snowflake, BigQuery) feed rolling forecasts, automation of recurring reports, and kitchen performance audits. Current hiring is concentrated in operations, with growing finance and data support roles. The business is expanding into Peru and addressing core scaling challenges around ingredient costs, kitchen efficiency, inventory management, and consistency as it approaches 100+ locations.
Salted uses dbt, Snowflake, and BigQuery for data infrastructure; Python for analysis; JazzHR for HR; and standard Microsoft Office tools. The stack is heavily analytics-oriented, supporting operational reporting and forecasting.
Salted is based in Los Angeles, CA and is actively hiring in the United States and Peru, signaling international expansion beyond its home market.
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