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Principal Applied Scientist
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 team at Cardlytics comprises a dynamic group of scientists and engineers dedicated to rethinking and redefining ad delivery and optimization at scale. Our work directly impacts millions of customers daily, driving innovation and effectiveness in how advertising reaches its audience.
About the Position:
As an Applied Scientist in the Ads Marketplace team you will play a crucial role in developing sophisticated models that address key challenges in digital advertising. You will use advanced machine learning techniques to improve offer ranking, personalize user experiences, and predict user behaviors, such as clicks and conversions, thereby enhancing targeting accuracy and increasing advertising ROI.
Responsibilities:
- Develop and refine machine learning models for ranking, personalization, click and conversion prediction.
- Analyze large datasets to identify trends and insights that can be leveraged to improve model performance and advertising outcomes.
- Collaborate with engineering teams to integrate models into our production systems and ensure they scale effectively.
- Conduct A/B testing and other statistical analyses to validate model effectiveness and business impact.
- Continuously monitor model performance and make adjustments as market conditions change.
- Collaborate with cross-functional teams to understand business needs and deliver comprehensive data-driven solutions.
- Mentor junior scientists and contribute to the team’s knowledge base by staying current with industry trends and advancements in machine learning and data science.
Minimum Qualifications:
- PhD or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Experience in developing machine learning models for digital advertising.
- Proficiency in statistical programming languages such as Python, R, or Scala and experience with ML frameworks like TensorFlow or PyTorch.
- Strong problem-solving skills and the ability to work in a dynamic and fast-paced environment.
- Excellent communication skills, with the ability to translate complex technical details into clear business insights.
Preferred Qualifications:
- Demonstrated expertise in predictive modeling techniques and their application to digital advertising problems.
- Experience building Learning to Rank (LTR) models.
- Experience with real-time systems and large-scale data processing technologies like Spark, Hadoop, or Kafka.
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
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
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.
Industry Lead
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 Position
The Industry Lead at Cardlytics is responsible for developing and executing a cohesive industry strategy that adds value for our customers. This role involves building and managing VP+ client relationships with key accounts to drive growth, collaborating with cross-functional teams to secure new clients and expand existing relationships, and developing industry thought leadership based on our purchase insights and customer trends. The Industry Lead will also provide regular business reporting to stakeholders, hire and develop top talent, influence the product roadmap by highlighting client needs, and foster a collaborative and motivated team environment.
Experience
10 + years + successfully growing revenue through the development of strategic partnerships within digital advertisers w a heavy focus on retail
Leading high performing enterprise sales teams; hiring, coaching, developing and retaining top talent
Revenue management experience- building industry plans, quotas, pipeline management and opex to achieve goals
Experience in leading cross-functional teams to deliver against client problems (driving internal culture, alignment and accountability)
Conducted annual (ideally multi-year) joint business planning & contracts with clients (and has a playbook)
Influencing decisions at the highest level with client (VP+) to create win-win outcomes
Partnered with Marketing & Enablement teams to create joint plans to support teams and deliver on client & revenue goals
Understand financial metrics that drives their clients business, and the pipeline metrics that drives their own business and people
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:
$210,000 - $265,000
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
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.
Senior Principal Engineer, Data Infra
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.
Location: Menlo Park, CA (Hybrid) or Remote - PST Time Zone
About the Team
At Data Infra, our goal is to streamline Cardlytics data consumption across the entire organization. We understand that accessible, reliable data underpins informed decision-making and innovative problem-solving. By partnering closely with teams, we tailor our solutions to fit their specific workflow needs and make strategic investments in our Data Infra platform to ensure swift access to data. Our approach is designed to not only simplify the way teams interact with data but also to accelerate time-to-insight, enabling Cardlytics teams to harness the full potential of their data for impactful outcomes.
About the Position
Cardlytics is seeking a Senior Principal Engineer, Data Infra to join our team, reporting to the Director Cloud & Data Infra.
As part of our growing team, you'll have the opportunity to work closely with cross-functional partners across the organization, leveraging your expertise to build innovative solutions that drive business impact. By joining us, you'll be at the forefront of shaping Cardlytics' data strategy and contributing to a culture of collaboration, experimentation, and continuous learning.
Responsibilities:
Cross-Functional Collaboration: Work closely with both data science and analytics functions to understand their current processes, identify workflow inefficiencies, and pinpoint areas where Data Infra investments could enhance self-service capabilities within Cardlytics.
Infrastructure Audit & Assessment: Conduct a comprehensive audit of existing Data Infra, with a focus on identifying gaps that hinder the creation of self-service data environments for analytics teams and evaluating opportunities to improve infrastructure components like storage, processing power, and access mechanisms.
Proof of Concept (PoC) Development & Evaluation: Design, execute, and evaluate PoCs aimed at addressing identified inefficiencies within the data science and analytics workflows, ensuring that these solutions are scalable and can be effectively rolled out across the organization.
Technology Assessment: Research and assess technology vendors to determine the most suitable infrastructure upgrades or services that support self-service data needs and facilitate creation of derivative datasets.
Infrastructure Optimization & Maintenance: Oversee the performance of Data Infra, making continuous improvements to ensure speed, scalability, reliability, security, and efficiency in serving both data science and analytics teams' requirements.
Process Improvement & Documentation: Streamline existing processes related to data access, model deployment, and dataset creation by implementing automation solutions where appropriate and maintaining comprehensive documentation for ease of understanding and adoption.
Change Management & Training, Innovation & Future Planning: Lead the transition to new infrastructure components, providing training and support to both analytics teams and software developers. Keep abreast of emerging trends in data infrastructure and MLOps to drive innovation within Data Infra, ensuring that Cardlytics remains at the forefront of data-driven decision-making.
Minimum Qualifications
10+ years of experience in a related field
Data Infrastructure Landscape: In-depth knowledge of modern data infrastructure components, including cloud services, databases (SQL/NoSQL), big data processing frameworks (Spark, Trino or similar), and data management architectures (Hudi, Iceberg or similar).
Building Data Infrastructure Systems: Proven experience in designing, implementing, and managing robust data infrastructure systems that support the needs of both analytics and machine learning workflows.
Machine Learning Operations (MLOps): Strong background in MLOps practices, with experience in automating the end-to-end lifecycle of machine learning models—from data preparation and model training to deployment and monitoring.
Experience with Self-Service Data Organizations: A solid understanding of self-service data environments, including the challenges and best practices for catering to diverse user groups within an organization. Familiarity with tools and platforms that enable non-technical users to access and analyze data independently.
Hands-On Technical Expertise: Strong hands-on experience with the tools and technologies used for building and scaling data infrastructure systems, including SQL/NoSQL databases, ETL processes, data warehousing solutions, and cloud services platforms like AWS, GCP, or Azure.
Expertise in Cloud Data Platforms (Snowflake, Databricks or similar): Hands-on experience with these platforms, including their architecture, data storage capabilities, performance tuning, security features, and integration points with other tools in the ecosystem (e.g., Notebooks, MLflow etc.).
Data Operations Automation: Proficiency in automating data operations to improve efficiency, reduce manual work, and ensure consistent delivery of services within the data infrastructure ecosystem.
Bachelor's degree in related field
Preferred Qualifications
Master’s degree preferred in Computer Science or related field
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:
$260,000 - $285,000
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
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.
Senior Software Engineer - Core Data Platform Team
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 Position
Cardlytics is seeking a Senior Software Engineer to join our team, reporting to the Director of Engineering. The core data platform team is responsible for the data infrastructure that power the various products and offerings within Cardlytics.
Responsibilities:
Developing new applications and features that provide data and data services to different teams within the enterprise, including engineering, data science, analysts, product, management/executives, and other business teams.
Creating high-performance and scalable data platforms that can support multiple data pipelines to ingest and deliver data as quickly and reliably as possible.
Writing clean, efficient, and maintainable code to ensure software quality.
Building insights products using large amounts of financial data.
Collaborating with cross-functional teams to identify and prioritize software features.
Participating in code reviews to ensure code quality and consistency.
Conducting testing, debugging, and troubleshooting of software applications.
Participating in the design and implementation of software architecture and infrastructure.
Minimum Qualifications
Bachelor's degree in Computer Science or related field
6+ years of experience in software development
Experience designing and building large scale distributed system
Proficiency in at least one programming language such as Scala, Java
Backend software engineer with experience building large scale distributed systems
Experience building reporting and scheduler systems
Strong experience with Spark
Experience working with Kafka, EMR, Airflow, Airflow, Hadoop or similar
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently as well as in a team environment
Preferred Qualifications
Experience building Data Lake with Glue, Hudi, Druid, Flink is a plus
You are:
Able to express yourself and articulate your ideas clearly, thoroughly, and respectfully; you listen the same way, and you do both across all levels of the organization with confidence
Able to offer opinions and make decisions with limited information; able to accept and manage risk and drive change
Able to take abstract ideas, formulate an actionable strategy, and execute on time and on scope
A self-starter: you drive projects forward with limited oversight
Passionate: you have genuine interest and enthusiasm about data, data technologies, and solving data challenges
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:
$180,000 - $215,000
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
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.