About The Boxoffice Company
The Boxoffice Company is a worldwide technology and data organization dedicated to powering entertainment globally. Through its Source platform, The Boxoffice Company serves as the definitive showtimes data provider for the world's largest search and discovery platforms — including Google, Bing, IMDb, and others — reaching 90% of global internet audiences across 70 countries in 25 languages.
We build the data and software backbone of the cinema industry: showtimes, ticketing flows, and box office intelligence powering products used across studios, exhibitors, and millions of moviegoers worldwide. We sit at the intersection of large-scale data pipelines, consumer-facing APIs, and AI-powered tooling — and we're looking for a staff engineer to join us.
The role
You will join the Data business unit as the first hire on the new Discovery team. The team owns critical APIs and services on Google Cloud, with a TypeScript backend on PostgreSQL and a frontend built in React and TanStack. The first phase of your work will be backend-heavy — designing services, modeling data, optimizing queries, building event-driven workflows — but the role is fullstack by design: as projects evolve, you're also expected to contribute to product features end-to-end, including the frontend layers that will distribute and showcase our data.
We're hiring a staff engineer because we want someone who can take ownership of architectural decisions, push back when needed, mentor others, and move fast without breaking what matters.
What you'll work on
Design and operate production TypeScript APIs serving high-traffic cinema products: exhibitor websites, mobile apps, online ticketing, showtimes listing, and business intelligence dashboards
Design and implement new data ingestion mechanisms
Model and evolve PostgreSQL schemas for complex domains
Build on GCP-native primitives: Cloud Run, Cloud Scheduler, Eventarc, BigQuery, Cloud Logging, Pub/Sub
Contribute to event-driven and agent-based systems, including AI-powered features built on our proprietary data
Shape technical decisions through RFCs and code reviews, and mentor mid-level engineers
