Senior Software Engineer
Ads Marketplace
Confirmed live in the last 24 hours

201-500 employees

Purchase intelligence
Company Overview
At Cardlytics, their mission is to make marketing more relevant and measurable with purchase intelligence
Financial Services
Data & Analytics

Company Stage

Series G

Total Funding





Atlanta, Georgia

Growth & Insights

6 month growth


1 year growth


2 year growth

Menlo Park, CA, USA
Experience Level
Desired Skills
Data Analysis
AI & Machine Learning
Software Engineering
  • Experience in digital media and ad technology, including ad serving, pricing, ranking, and formatting optimizations
  • Experience prototyping and launching models in a product environment
  • Experience with deep-diving into complex problems and bugs and drawing conclusions logically
  • Experience with agile methodologies and playing key roles in agile teams in product delivery
  • Experience collaborating with cross-functional teams, executives, and representatives across stakeholder groups
  • Skilled and knowledgeable on the latest machine learning techniques and advancements
  • Self-critical and constantly striving to accelerate the pace on machine learning
  • Passionate about the ads ecosystem, with a willingness to learn about and adopt new concepts
  • Excellent at problem-solving through insightful data analysis and logical deduction
  • A strong cross-functional team player, working with product and engineering counterparts to design and implement models
  • An effective communicator with a solution-oriented mindset
  • Reports to: VP of Engineering, Ads Marketplace
  • Location: CDLX has offices across the US (and we're open to remote candidates too!)
  • The Senior Software Engineer, Ads Marketplace will play a key role in designing and implementing the next generation serving platform powering the Cardlytics ad marketplace. You will be part of a team rethinking and redefining ads delivery and optimization at scale, with a direct impact on millions of customers every day. You will need to have a solid grasp of challenges and bring in novel ideas to solve interesting problems in distributed systems, data engineering, and machine learning. To be successful in this role, you will need to have prior experience building machine learning models and using data analysis to deliver scalable solutions to business problems. Hands-on experience developing pricing and ranking models for digital advertising platforms will be a plus, including A/B testing and data gathering/statistical analysis to improve on both user engagement and revenue
  • Responsibilities:
Desired Qualifications
  • The anticipated base salary for this role is $190,000 - $220,000 annually, not including and other benefits. Cardlytics' salary ranges are determined by role, level, and location, and individual pay may be determined by additional factors such as role-related skills, experience, education, training, and more