Careers

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

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.       

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.       

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 Marketplace Ad Serving team is a crucial part of Cardlytics' technology infrastructure and business, responsible for powering the core platform—the Ads-Decisioning Engine (ADE). As the backbone of Cardlytics' advertising efforts, our mission is to build and maintain highly resilient, reliable serving systems that support 160 million monthly active users across 11 major U.S. banks and globally. We drive innovation throughout the ad-serving ecosystem using a modern, cloud-native, highly distributed AWS technology stack alongside other cutting-edge technologies. Our goal is to seamlessly accommodate our business’s exponential growth and ensure its long-term success.

About the Position:

As a Principal Software Engineer on the Marketplace Ad Serving team, you will play a pivotal role in the design and enhancement of the next-generation platform powering the Cardlytics Marketplace. This position offers extensive opportunities to work with advanced AWS technologies and collaborate with our Machine Learning scientists and engineers. You will work deeply with data orchestration, leveraging insights to drive impactful results as we navigate rapid growth. In this dynamic environment, you will help redefine ad delivery and optimize user engagement at scale, influencing millions of customers daily.

Cardlytics is seeking a Principal Software Engineer to join our team, reporting to the Director of Engineering.

Responsibilities:

• Lead the design and architecture of robust, scalable software systems supporting Marketplace Ad Serving.

• Serve as a Technical Leader, driving engineering projects and collaborating closely with technical leads, product managers, sales teams, and cross-functional engineering teams to deliver solutions aligned with strategic business objectives.

• Partner with cross-functional stakeholders to gather and translate product and engineering requirements into technical specifications and actionable engineering plans.

• Implement and enhance the Marketplace Ad Serving platform to scale with the growing needs of the business.

• Own the full lifecycle of production deployments and adhering to best practices for CI/CD.

• Influence the technical direction of the team through data-driven experimentation and best engineering practices, driving innovation and iteration of the technology stack.

Minimum Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Information Technology, or a related technical/STEM field.

• 8+ years of experience in software development.

• Hands-on experience with Go, Python or Java.

• Hands-on experience with AWS services such as Lambda, SQS, Glue, RDS, DynamoDB, Kafka, MSK, EMR, and EKS.

• Proficiency in SQL/NoSQL databases and big data processing frameworks (Spark), along with data management architectures (Hudi).

• Strong experience in distributed systems, microservices, web applications, and database management.

• Proven ability to design and build highly scalable, low-latency ad-serving platforms, particularly within the advertising industry.

• Experience in developing big data systems with open-source frameworks and tools like Apache Spark, Apache Hudi, and Apache Airflow, with proficiency in PySpark.

• Experience in designing, developing, and maintaining large-scale parallel applications.

• Proficiency in using software development tools/IDEs, testing methodologies, and documentation best practices.

Preferred Qualifications:

• Experience in the advertising technology industry or related fields.

• Knowledge or experience in Data Science, Machine Learning, MLOps systems is a plus.

• Experience with C#/.NET is a plus.

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:

Range: $240,000 - $275,000

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.       

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

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.       

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.       

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 Marketplace Ad Serving team is a crucial part of Cardlytics' technology infrastructure and business, responsible for powering the core platform—the Ads-Decisioning Engine (ADE). As the backbone of Cardlytics' advertising efforts, our mission is to build and maintain highly resilient, reliable serving systems that support 160 million monthly active users across 11 major U.S. banks and globally. We drive innovation throughout the ad-serving ecosystem using a modern, cloud-native, highly distributed AWS technology stack alongside other cutting-edge technologies. Our goal is to seamlessly accommodate our business’s exponential growth and ensure its long-term success.

About the Position:

As a Principal Software Engineer on the Marketplace Ad Serving team, you will play a pivotal role in the design and enhancement of the next-generation platform powering the Cardlytics Marketplace. This position offers extensive opportunities to work with advanced AWS technologies and collaborate with our Machine Learning scientists and engineers. You will work deeply with data orchestration, leveraging insights to drive impactful results as we navigate rapid growth. In this dynamic environment, you will help redefine ad delivery and optimize user engagement at scale, influencing millions of customers daily.

Cardlytics is seeking a Principal Software Engineer to join our team, reporting to the Director of Engineering.

Responsibilities:

• Lead the design and architecture of robust, scalable software systems supporting Marketplace Ad Serving.

• Serve as a Technical Leader, driving engineering projects and collaborating closely with technical leads, product managers, sales teams, and cross-functional engineering teams to deliver solutions aligned with strategic business objectives.

• Partner with cross-functional stakeholders to gather and translate product and engineering requirements into technical specifications and actionable engineering plans.

• Implement and enhance the Marketplace Ad Serving platform to scale with the growing needs of the business.

• Own the full lifecycle of production deployments and adhering to best practices for CI/CD.

• Influence the technical direction of the team through data-driven experimentation and best engineering practices, driving innovation and iteration of the technology stack.

Minimum Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Information Technology, or a related technical/STEM field.

• 8+ years of experience in software development.

• Hands-on experience with Go, Python or Java.

• Hands-on experience with AWS services such as Lambda, SQS, Glue, RDS, DynamoDB, Kafka, MSK, EMR, and EKS.

• Proficiency in SQL/NoSQL databases and big data processing frameworks (Spark), along with data management architectures (Hudi).

• Strong experience in distributed systems, microservices, web applications, and database management.

• Proven ability to design and build highly scalable, low-latency ad-serving platforms, particularly within the advertising industry.

• Experience in developing big data systems with open-source frameworks and tools like Apache Spark, Apache Hudi, and Apache Airflow, with proficiency in PySpark.

• Experience in designing, developing, and maintaining large-scale parallel applications.

• Proficiency in using software development tools/IDEs, testing methodologies, and documentation best practices.

Preferred Qualifications:

• Experience in the advertising technology industry or related fields.

• Knowledge or experience in Data Science, Machine Learning, MLOps systems is a plus.

• Experience with C#/.NET is a plus.

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:

Range: $240,000 - $275,000

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.       

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 Campaign Management team is charged with ensuring success and providing support for campaigns during the sales discovery stages through the post campaign analysis stage.  They support:

• Design strategy to ensure we set up campaigns that fit client needs and meet client KPIs

• Monitoring/executing of campaign performance and optimizations

• Providing post-campaign support in campaign design/issue investigations

About the Position

As a Campaign Manager, you will be responsible for campaign delivery and optimizations that accomplish advertiser goals and maximize the business opportunity for Cardlytics. You will partner closely with Client Success and Campaign Operations to deliver on business needs and advertiser solutions effectively and efficiently. Campaign accuracy and effectiveness will be key performance indicators of your role.

Responsibilities:

• Provide support in campaign set up and design based on client discovery

• Execute campaigns that deliver on advertiser objectives and business goals

• Monitor campaigns and ensure delivery client and CDLX objectives

• Collaborate with sales and analytics counterparts to provide optimization recommendations to improve design/delivery and grow business. 

• Leverage our reporting tools to ensure that the campaign's goals and budgets are met. 

• Gain a deep understanding of our campaign technology, data, and unique value proposition in the marketplace 

Minimum Qualifications

• 3+ years of experience in project or program management account management or media execution

• Managing paid media campaigns using industry leading advertising technology and campaign management systems

• Experience in scaling/increasing campaign spends while maintaining or improving performance KPIs

• Working cross-functionally to interface with both sales focused and technical roles within an organization

Preferred Qualifications

• 3+ years of experience in digital marketing

• 1+ years of experience in account management/client success

• Experience with operations of campaign management platforms

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.

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

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.       

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.       

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 Marketplace Ad Serving team is a crucial part of Cardlytics' technology infrastructure and business, responsible for powering the core platform—the Ads-Decisioning Engine (ADE). As the backbone of Cardlytics' advertising efforts, our mission is to build and maintain highly resilient, reliable serving systems that support 160 million monthly active users across 11 major U.S. banks and globally. We drive innovation throughout the ad-serving ecosystem using a modern, cloud-native, highly distributed AWS technology stack alongside other cutting-edge technologies. Our goal is to seamlessly accommodate our business’s exponential growth and ensure its long-term success.

About the Position:

As a Principal Software Engineer on the Marketplace Ad Serving team, you will play a pivotal role in the design and enhancement of the next-generation platform powering the Cardlytics Marketplace. This position offers extensive opportunities to work with advanced AWS technologies and collaborate with our Machine Learning scientists and engineers. You will work deeply with data orchestration, leveraging insights to drive impactful results as we navigate rapid growth. In this dynamic environment, you will help redefine ad delivery and optimize user engagement at scale, influencing millions of customers daily.

Cardlytics is seeking a Principal Software Engineer to join our team, reporting to the Director of Engineering.

Responsibilities:

• Lead the design and architecture of robust, scalable software systems supporting Marketplace Ad Serving.

• Serve as a Technical Leader, driving engineering projects and collaborating closely with technical leads, product managers, sales teams, and cross-functional engineering teams to deliver solutions aligned with strategic business objectives.

• Partner with cross-functional stakeholders to gather and translate product and engineering requirements into technical specifications and actionable engineering plans.

• Implement and enhance the Marketplace Ad Serving platform to scale with the growing needs of the business.

• Own the full lifecycle of production deployments and adhering to best practices for CI/CD.

• Influence the technical direction of the team through data-driven experimentation and best engineering practices, driving innovation and iteration of the technology stack.

Minimum Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Information Technology, or a related technical/STEM field.

• 8+ years of experience in software development.

• Hands-on experience with Go, Python or Java.

• Hands-on experience with AWS services such as Lambda, SQS, Glue, RDS, DynamoDB, Kafka, MSK, EMR, and EKS.

• Proficiency in SQL/NoSQL databases and big data processing frameworks (Spark), along with data management architectures (Hudi).

• Strong experience in distributed systems, microservices, web applications, and database management.

• Proven ability to design and build highly scalable, low-latency ad-serving platforms, particularly within the advertising industry.

• Experience in developing big data systems with open-source frameworks and tools like Apache Spark, Apache Hudi, and Apache Airflow, with proficiency in PySpark.

• Experience in designing, developing, and maintaining large-scale parallel applications.

• Proficiency in using software development tools/IDEs, testing methodologies, and documentation best practices.

Preferred Qualifications:

• Experience in the advertising technology industry or related fields.

• Knowledge or experience in Data Science, Machine Learning, MLOps systems is a plus.

• Experience with C#/.NET is a plus.

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:

Range: $240,000 - $275,000

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.       

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

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.       

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.