Director Of Engineering, Optimization

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.

About the Team
The Ads Marketplace Optimization team focuses on delivering the best set of offers for every opportunity. By leveraging cutting edge machine learning techniques, the team is moving key metrics for the company and our customers through optimal offer selection/ranking, budget management, pricing.

About the Position
Cardlytics is seeking a Director of Engineering to join our team, reporting to the VP of Engineering.

Director of Engineering, Ads Marketplace Optimization set the vision for the team optimizing on Ads delivery for the Cardlytics Ads marketplace and lead the execution. This hands-on role requires someone with a proven track record in marketplace optimizations and strong experience in Machine Learning techniques used in AdTech. Proven impact on key metrics around user engagement, budget consumption and overall marketplace optimization will be highly valued. This is a critical responsibility which is at the heart of the core business for the company. The ideal candidate will also have strong influence and input on the general machine learning direction for the company.

Responsibilities:
You will:

• Work effectively with product and engineering teams to set the vision and shape the technical direction for the team and company.
• Build effective teams by leading, mentoring and growing a team of Machine Learning and Data engineers
• Lead design and develop of optimization concepts and workflows spanning from prototypes to operating at scale
• Deliver results by continually monitoring the day-to-day product development lifecycle.

Minimum Qualifications

• Masters in Computer Science or equivalent
• 5+ years experience managing a team of experienced ICs comprising ML Scientists and Engineers
• 5+ years hands-on experience leveraging machine learning techniques and advancements in industry, with a proven impact on company metrics
• Demonstrated experience working with product leadership and others to drive a focused technical strategy, and driving positive changes while building trust and credibility across multiple areas of the business.
• Strong verbal and written communication skills

Preferred Qualifications

• PhD in Computer Science or equivalent
• Proven track record in digital media and ad technology, including ads optimizations

Core Values

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody 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

At Cardlytics salary ranges are determined based on factors such as role, level, and location. Individual compensation may be determined by relevant skills, experience, education, training, and other role-specific criteria. This salary range will be narrowed during the interview process based on a number of the aforementioned factors.The base salary range provided below does not include bonuses and additional benefits.

The annual US base salary range for this role is:

Salary Range: 260k - 285k

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
• 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