Director of Engineering, Commerce AI

About Cardlytics

Founded in 2008, Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We make commerce smarter and more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through our partners digital reward programs. Join us on our mission to make commerce smarter and more rewarding for everyone!

Location: Taipei office (Hybrid 2-3 days a week)

About The Team

Cardlytics is establishing an engineering hub in Taiwan, and building a productive and innovative engineering team there. This engineering team will be an integral part of the Cardlytics engineering organization. The team will be responsible for the successful software delivery of key products and services, and contribute to the advancement of Cardlytics platform and product suite.

About The Position

Cardlytics is seeking a Director of Engineering to report directly to the Taiwan Site Leader and Senior Director of Engineering. In this role, you will serve as both a technical expert and a people manager, driving the successful delivery of high-impact Machine Learning and Data Services while mentoring, coaching, and fostering career development for engineers. You will collaborate with cross-functional teams to guide your team in designing, developing, and delivering robust, scalable products and services that align with product and business objectives.

This role is ideal for a talented engineering leader who thrives at the intersection of technical expertise and people management, and enjoys working in a dynamic, cross-functional environment while aligning technical execution with business objectives.

Responsibilities:

• Lead development and research efforts in building up creative Commerce AI Technologies to outstand the leadership of Cardlytics in the market.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to transform unstructured and noisy transaction data into advanced, data-centric solutions integrated into our platform.
• Overseeing project management and Agile Scrum processes to ensure efficient delivery of high-quality products within defined timelines.
• Ensuring code quality, setting best practices, and driving engineering excellence across all software development processes.
• Coaching and mentoring engineering team while fostering a culture of collaboration and continuous improvement.

Minimum Qualifications:

• Master's degree in Computer Science, Data Science, Mathematics or related field
• 10+ years of experience in the machine learning field and AI applications, including 5+ years managing engineering teams
• Proficiency in machine learned algorithms, statistical modeling, data preprocessing, and metrics evaluation, with a proven track record of delivering machine learning solutions in a production environment.
• Proficiency in at least one programming language such as Python, Java, Spark or Scala
• Skilled in goal setting, coaching, and mentoring junior engineers
• Excellent communication and collaboration skills in English

Preferred Qualifications:

• Practical experience in applying machine learning to ranking, recommendation, or predicting clicks and conversions
• Substantial experience in Agile methodologies and Scrum management, including leading sprints, facilitating daily stand-ups, and ensuring continuous delivery
• Practical experience with AWS ecosystems (such as SageMaker, EMR, Bedrock) or Databricks for building machine learning and AI applications
• Experience with large-scale data processing technologies like Scala/Spark, Airflow or real-time systems like Kafka/Kinesis
• Experience leveraging Generative AI technologies, such as LLM, Prompt engineering, RAG, and Agentic workflow

Technical Environment

We primarily use macOS and Google Workspace (Docs, Sheets, Slides). While our preferred platform is macOS, we support both macOS and Windows. Familiarity with or willingness to work within this environment is required.

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

Benefits And Perks

• Generous annual leave starting at 15 days, plus comprehensive sick, compassionate, and parental leave options
• Rich supplemental health insurance, paid 100% by the company
• Robust peer recognition program
• Quarterly company-wide achievement celebrations and CEO recognition awards
• Free Calm app subscription to support mental wellbeing
• Premium in-office amenities, including complimentary lunches and monthly milestone celebrations

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 [Confidential Information] or inform your recruiter.