Location:
- Remote from United States or Latin America
Company Information:
AdQuick is a leader in out-of-home (OOH) advertising technology and services. Our platform is used by some of the world’s foremost brands and agencies to achieve measurable paid media outcomes that rival the speed and performance of digital channels. We uniquely provide one platform for all things OOH, servicing the entire sector — brands, agencies, and suppliers. We are building the operating system for advertising in the real world. A critical component of this operating system is Analytics: data-driven planning and full-funnel measurement that are completely integrated with out-of-home buying.
What we're looking for:
- A full-stack engineer with expertise across frontend, backend, and infrastructure
- Someone with 5+ years of production engineering experience building and scaling systems
- Startup-minded: comfortable working independently, taking ownership, and driving projects from concept to completion
- Pragmatic in your approach—you know when to move fast and ship versus when to invest in scalable, long-term solutions
- Technically versatile with experience in our stack (or similar modern technologies)
- AI-fluent: you leverage AI coding tools to boost productivity while maintaining code quality and ownership
- Product-oriented: you think beyond the code to understand user needs and business impact
What you'll be doing:
- Collaborating with stakeholders to shape and define your next project
- Breaking projects into small, full-stack deliverables and implementing them end-to-end
- Managing and resolving support tickets promptly
- Continuously refining our tech stack and developer tools for better efficiency and scalability
Our tech stack:
- Ruby
- Rails
- Postgres
- BigQuery
- Kotlin & Kafka for high-throughput systems
- Stimulus JS / Hotwire (we moved from React towards this)
- Recently completed a migration to Google Cloud
More detailed technical challenges:
- We want to automate every aspect an out-of-home campaign planning and execution. In this process, we are building a frontend user interface where users are be able to view 1M+ markers on a map without their browser crawling to a halt.
- We also need to integrate with other partners in the industry, usually using APIs, and often times helping them develop it.
- We need to support complex and interesting map visualizations – layering political voting data, census data, AdWords data and more.
- We need to support highly efficient search by geography, demographics, unit data, and many other attributes from disparate data sources. This has to scale while keeping search response times low.
- We're doing interesting work with data science: we integrate with Google AdWords, Facebook Ads, movement data, and other sources to measure impact of physical advertising on online behavior. ROI data from prior campaigns can help create more effective future campaigns. As our data warehouse grows, crunching this data will be increasingly challenging and more powerful.
- We are using AI to solve interesting problems in the OOH Industry
