Senior Full Stack Software Engineer, AdQuick
Analytics
$80-120k
Out-of-home advertisement platform
Open for applications
Out-of-home advertisement platform
21-100 employees
Open for applications
$80-120k
21-100 employees
Company mission
To empower everyone to put their message into the world by removing all barriers to out-of-home (OOH) ad buying, with a powerful platform that’s a delight to use.
Role
Who you are
- A full-stack engineer with strong analytics and data engineering experience—comfortable working across frontend visualizations, backend APIs, and data infrastructure
- Someone with 5+ years of production engineering experience building data-intensive systems and analytics products
- Startup-minded: comfortable working independently, taking ownership, and driving analytics features from concept to completion
- Pragmatic in your approach—you know when to move fast and ship insights versus when to invest in scalable data pipelines and infrastructure
- Technically versatile with experience in our stack or similar technologies (especially data warehousing, ETL/ELT, and visualization)
- AI-fluent: you leverage AI coding tools to boost productivity while maintaining code quality and ownership
- Analytics and product-oriented: you understand how data drives decisions and think about user needs, measurement accuracy, and business impact
What the job involves
- Building end-to-end analytics features: from data ingestion and transformation in BigQuery to user-facing visualizations and insights
- Developing attribution and measurement systems that connect out-of-home advertising to online behavioral outcomes (AdWords, Facebook Ads, movement data, etc.)
- Creating performant data visualizations and interactive mapping experiences that layer complex datasets (demographics, voting data, census data, campaign performance)
- Designing and optimizing data pipelines that process large-scale advertising data while maintaining low-latency query performance
- Collaborating with data science teams to productionize models and surface ROI insights that help customers plan more effective campaigns
- Managing support tickets and ensuring data accuracy and reliability for customer-facing analytics
- Continuously refining our analytics infrastructure for better efficiency, scalability, and data quality
- Our tech stack:
- BigQuery (primary data warehouse)
- Postgres (transactional database)
- Ruby on Rails (backend APIs and data processing)
- Stimulus JS / Hotwire (moved from React for frontend)
- Kafka for streaming data pipelines
- Google Cloud Platform
- Various advertising APIs (Google AdWords, Facebook Ads, etc.)
- Analytics-specific technical challenges:
- Attribution at scale: We integrate with Google AdWords, Facebook Ads, movement data, and other sources to measure the impact of physical advertising on online behavior
- This requires sophisticated data pipelines, ETL processes, and statistical modeling
- Performance with massive datasets: We need to support highly efficient search and filtering by geography, demographics, unit data, and many other attributes from disparate sources—all while keeping response times low as our data warehouse grows
- Complex geospatial analytics: We're building map visualizations that layer political voting data, census data, AdWords data, movement patterns, and campaign performance across 1M+ out-of-home advertising units
- Predictive analytics and optimization: ROI data from prior campaigns helps create more effective future campaigns
- As our data scales, we need creative solutions to crunch this data efficiently while making insights actionable
- Real-time reporting: Customers need up-to-date campaign performance metrics, requiring us to balance data freshness with query performance across billions of rows
- AI-powered insights: We're using AI to solve unique problems in the OOH industry—from automating campaign planning to surfacing hidden patterns in cross-channel attribution data
Our take
Out Of Home (OOH) advertising is one of the oldest forms of marketing, and as a result, the process of planning, buying, and managing it can feel outdated. Not only does this lead to a lack of digital data on campaign success, but it also makes it difficult for advertisers to connect with OOH media owners.
AdQuick provides an OOH advertisement platform, helping to connect advertisers with OOH media owners to facilitate the launching of campaigns in as little as 48 hours. The platform also integrates all campaigns with robust datasets to facilitate analytic solutions on any scale, in addition to offering a marketing toolkit for overall OOH back-office management.
By recognising the gap in the market, AdQuick has attracted investment and is now partnered with 1700+ media owners across 40 countries. It has an impressive customer list, including Lyft, Amazon, H&R Block and the NFL. Moves to integrate AI into its offering with its adtech assistant product will further increase its appeal to advertisers going forward.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-22% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2020
$6m
SERIES A
Jul 2018
$2.1m
SEED
Total funding: $9.2m
Company benefits
- Unlimited Vacation Policy
- Bi-annual Company Retreats
- $100/month Personal Improvement Budget
- Work Remotely or In-office
- Health & Dental Insurance
- Named to Best Places to Work by LA Business Journal
Company HQ
Venice, Los Angeles, CA
Leadership
Chris Gadek
(CEO)Chris joined AdQuick in 2018 as a VP of Growth, becoming CRO in 2024 and CEO later that same year. Prior to AdQuick, they were the Head of Technical Growth & Marketing at Eden, Director of Growth and VP of Growth & Marketing at Doorman, and a Marketing Operations Manager at Anaplan and E2open.
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