Senior Software Engineer, Ads Marketplace

Key Skills

AWS, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, HTML, JavaScript, Kubernetes-K8s, R Programming

Job Description

About Cardlytics

Remember that time you got cash back on a cup of coffee through your banking app? That was us!

Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks’ digital channels.

What you'll do

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:

• Collaborate closely and build rapport with product, research, and engineering teams
• Quickly prototype hypotheses.
• Design and develop a world-class ad decision engine from the ground-up.
• Take full ownership of product deployments while adhering to best practices for CI/CD.
• Influence the technical direction for the team through conviction and experimentation.

Minimum Qualifications

• 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.

You are:

• 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.

At Cardlytics, our people, partners and product are the driving force behind everything we do. Our shared values embody our commitment to those three things. Across all roles, we are looking for teammates with these values:

• Customer and Partner-first
• Act with Urgency and Focus
• Integrity with our partners and data
• Accountability even when challenged
• Empowerment over hierarchy
• Growth over comfort

Compensation

• The anticipated base salary for this role is $190,000 - $220,000 annually, not including bonus 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.

Benefits and Perks

• Flexible paid time off plus company holidays
• Medical, dental, and vision insurance begins on your first day
• 401(k) retirement plan with company match, plan also includes a student loan debt repayment option
• Employee Stock Purchase Plan
• New hire home office stipend
• Monthly phone/internet stipend
• Educational assistance for continuing education
• Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more!)
• Complementary Calm app subscriptions to support employee mental health and wellbeing

As an equal opportunity employer, Cardlytics is committed to diversity, equity, and inclusion. Our people bring our products and organization to life, and every unique perspective makes us better. If you can do the job and you’re excited about growing with us as we scale our best-in-class advertising platform, we’d love to hear from you. If you need accommodation in the recruiting process due to a disability, please email recruiting@cardlytics.com or inform your recruiter.