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:
- 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
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 / Stimulus Reflex / Hotwire (we moved from React towards this)
- Heroku, AWS and GCP
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