Senior Software Engineer (Full Stack)

• Remote from United States or Latin America

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.

• You are a full-stack engineer
• You have 5+ years of experience working on production systems
• You want to work in a startup environment: you proactively take a lot of ownership
• You demonstrate a keen sense of priority, knowing when to ship quickly for immediate impact and when to invest in a long-term solution
• You have experience in our stack or similar technologies
• You’re comfortable integrating AI coding tools into your workflow, but you know when to rely on your own expertise
• You have a great product sense

• 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

• Ruby
• Rails
• Postgres
• BigQuery
• Kotlin & Kafka for high-throughput systems
• Stimulus JS / Stimulus Reflex / Hotwire (we moved from React towards this)
• Heroku, AWS and GCP

• 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