Imprint

Data Analyst

• Develop and manage Imprint’s Anti-Financial Crimes (AFC) program, including policies, procedures, and internal controls.
• Design and implement frameworks to monitor transaction flows to identify suspicious or unusual activity.
• Leverage graph databases to identify fraud rings looking to commit fraud and financial crime
• Define & create monitoring dashboards to monitor health of portfolio and ensure appropriate alerts are triggered for anomalous signal.
• Back-test and refine alert/rule thresholds; optimize detection logic to minimize false positives without compromising hit-rate.
• Perform customer due diligence, periodic reviews of high-risk accounts, and ongoing risk assessments of the cardholder base.
• Develop and define Enhanced Due Diligence procedures to be implemented by Operations team.
• Perform data extraction, enrichment, anomaly detection and pattern analysis.
• Automate processes to help scale AML & Fraud processes in a high-volume credit card company.
• Monitor evolving regulatory requirements and industry trends, recommending enhancements to maintain best-in-class controls.
• Provide ongoing training and guidance to internal teams to enhance AFC and Fraud awareness.

Anti Financial Crime and Fraud Prevention Analytics Manager

Engineering Manager

• Set and execute the technical and organizational strategy for Payments Engineering, balancing speed, scale, cost, and compliance.
• Collaborate across cross-functional partners (Product, Finance, Risk, Compliance, Data) to define goals, sequencing, and tradeoffs.
• Own delivery and operations of mission‑critical money‑movement services and jobs, with strong SLOs, runbooks, and on‑call quality.
• Evolve monitoring and alerting around business outcomes and failure modes across payment domains and providers.
• Lead architecture to simplify flows, improve auditability, and de‑risk migrations as we refactor legacy paths.
• Lead and develop a diverse, talented team of engineers across a range of seniority levels.

Senior Engineering Manager – Payments

Account Manager

• Design end‑to‑end experiences for our embedded credit card products across multiple brand partnerships, from early concept to shipped product.
• Leverage qual + quant data to uncover insights, validate ideas, and continuously refine our products.
• Collaborate cross‑functionally with Product, Engineering, Data, Marketing, and Partner teams to bring experiences to life.
• Balance systems and craft: work with our design system (and help evolve it), while also creating partner‑specific brand expressions.
• Be partner‑facing: present work to internal leadership and external brand stakeholders with clarity and influence.
• Flex beyond product design: generate assets for partner launches and ongoing growth (landing pages, emails, ads, in‑app placements, etc.).
• Mentor and collaborate with other designers, raising the bar for craft, systems thinking, and creativity across the team.

Product Designer – Embedded Partnerships, Payments

Manager

• Cultivate and maintain strong relationships with key stakeholders at our partner brand, including senior executives, marketing teams, and operational leaders
• Collaborate with our partners to develop and execute a strategic vision for the credit card program, aligning with their business objectives
• Develop and implement strategies to drive the acquisition of new credit card customers while maximizing the value of existing cardholders
• Monitor and analyze program performance, identify growth opportunities, and develop action plans to achieve program goals
• Collaborate with the brand's marketing team to create effective promotional campaigns and marketing initiatives to increase cardholder engagement and usage
• Lead annual and quarterly planning, budgeting, and forecasting processes to ensure the successful delivery of program goals
• Analyze market trends and the competitive landscape to identify opportunities for product enhancements and promotions
• Partner internally with the compliance team to ensure that the Credit Card programs adhere to all regulatory and compliance requirements
• Implement risk management strategies to safeguard the program's financial health and minimize potential issues
• Generate regular reports on program performance and provide insights and recommendations to senior management
• Conduct in-depth data analysis to identify trends, customer behaviors, and areas for improvement
• Work closely with cross-functional teams within Imprint Payments, including product, risk, compliance, customer service, and finance, to support the success of the Credit Card program

General Manager

People Operations

• Design and implement scalable people programs — Develop and execute initiatives such as onboarding, performance management, and career development that strengthen organizational effectiveness and align with business goals.
• Partner on organizational strategy and design — Collaborate with the Head of People and business leaders to diagnose organizational challenges, identify root causes, and design structures, processes, and systems that enable high performance.
• Leverage data to drive decisions — Establish and analyze people metrics to measure impact, identify trends, and inform priorities for talent development, engagement, and retention.
• Optimize talent processes — Continuously improve key people processes—such as hiring, onboarding, and feedback cycles—to ensure they are efficient and aligned with Imprint’s values and growth objectives.
• Foster effective communication and change management — Lead intentional communication and change efforts that ensure clarity, alignment, and engagement across the organization as new programs and systems are introduced.

People & Org Development Manager

Growth Marketing

• Develop and execute customer acquisition campaigns across paid, owned, and partnership channels (digital, affiliate, direct mail, etc.) focused on credit card customers.
• Stand up new acquisition channels, tactics, and capabilities to drive growth, diversify reach, and enhance marketing agility & precision.
• Evaluate and manage existing acquisition sources for efficiency and ROI.
• Lead tests to validate new channels, creative, and targeting strategies.
• Analyze acquisition results by customer profile, funnel stage, and source quality to identify opportunities to improve CAC/conversion and how to scale effectively.
• Use SQL (Snowflake) to query and analyze performance data, segment customers, and generate actionable insights to guide testing, optimization, and scaling decisions.
• Collaborate cross-functionally to align on acquisition goals, audience targets, and customer quality metrics.
• Own reporting and optimization cadence, communicating results and recommendations to cross-functional stakeholders.

Growth Marketing Lead

Affiliate Manager

• Own the relationship with partner brands, including day-to-day coordination of strategic initiatives, marketing and product work.
• Collaborate with internal stakeholders to design and implement marketing campaigns, promotions, and operational updates.
• Coordinate planning, budgeting, and performance forecasting in partnership with Finance and senior Commercial team members, delivering actionable insights and identifying opportunities to drive program growth.
• Own documentation, timelines, and communication plans to ensure smooth cross-team execution.
• Drive strategic ad-hoc projects that enhance operations, partner satisfaction and cross-functional productivity.
• Partner with Compliance and Risk to help ensure programs adhere to regulatory and brand standards.

Partner Lead, Commercial

Data Scientist

• Drive marketing analytics strategy. Partner with Marketing, Data Science, and Engineering to define the metrics, models, and frameworks that guide campaign optimization, experimentation, and performance measurement.
• Build data visualization as a product. Design intuitive, engaging dashboards that make insights immediately actionable and help teams make faster, better decisions.
• Create scalable data foundations. Work with Data Engineering to design cross-channel, cross-campaign data models that enable robust performance analysis and long-term learning.
• Accelerate experimentation and growth. Collaborate with Data Science to operationalize testing frameworks, build feedback loops into dashboards, and surface results that directly inform campaign strategy.
• Evolve the data experience. Continuously improve how teams interact with data — balancing clarity, interactivity, and accessibility for both technical and non-technical audiences.
• Champion a culture of evidence-based decision-making. Enable self-service reporting, promote analytical excellence, and advocate for visualization best practices that elevate decision quality across the organization.

Analytics Lead, Growth

Risk

• Review transaction monitoring alerts, including those generated through the Unusual Activity Monitoring System (UAMS) and Sardine platform, to identify potential suspicious activity.
• Conduct manual reviews of alerts to ensure proper notation and documentation for false positives, and escalate validated cases for Unusual Activity Reports (UARs).
• Support the refinement and enhancement of AML rules and detection models in collaboration with BSA Operations and Fraud Strategy.
• Prepare clear, concise, and well-documented case files to support regulatory reporting requirements.
• Assist in developing and implementing procedural improvements to increase operational efficiency and accuracy.
• Collaborate cross-functionally with Fraud Operations, Dispute Operations, Fraud Strategy, Credit Strategy, Compliance, Engineering and Data teams to ensure alignment across monitoring and investigative processes.
• Participate in periodic audits, quality assurance reviews, and training to maintain compliance standards.

Risk Operations Analyst

Collections

• Own and lead the strategic design, development, and ongoing optimization of Imprint’s early- and late-stage collections and recovery strategies, overseeing the testing and implementation of innovative contact and loss mitigation initiatives.
• Develop and maintain robust metrics, dashboards, and monitoring tools to evaluate portfolio performance, identify emerging risks, and drive continuous improvement.
• Analyze delinquency, roll rate, and recovery trends, and partner with Data Science to build predictive models that enhance collections strategy, decision-making, and operational efficiency.
• Forecast collections losses, delinquency rates, roll rates, and recoveries using statistical and data-driven methods, providing actionable insights and recommending proactive mitigation strategies.
• Collaborate with Risk, Product, and Compliance teams to ensure collections strategies align with business objectives, credit policies, and regulatory standards.
• Ensure full compliance with federal and state debt collection regulations (including FDCPA, UDAAP, FCRA, TCPA, and CFPB guidelines) through close partnership with Legal, Compliance, and Audit teams to uphold strong governance and oversight across all collections activities.

Director of Collections Strategy

Implementation Specialist

• Lead the design and implementation of AI models and decision systems in credit card underwriting, fraud detection, collections, and customer engagement
• Partner with Data Science, Risk, and Compliance teams to ensure models meet regulatory requirements (e.g., Fair Lending, Reg Z, ECOA, FCRA)
• Translate business requirements into technical specifications, ensuring AI systems are scalable, explainable, and auditable
• Manage deployment of AI solutions into production, including model integration with core platforms and third-party systems
• Establish monitoring and feedback loops to measure AI system performance, fairness, and drift over time
• Collaborate with stakeholders across Product, Operations, and Finance to maximize the business impact of AI-powered initiatives
• Champion best practices for responsible AI use in financial services, including documentation, testing, and governance
• Stay current on emerging AI technologies, regulations, and fintech use cases to guide adoption

Senior AI Implementation Specialist – Credit Cards

• Design, develop, and test statistical and machine learning models for credit risk areas (underwriting, fraud detection, portfolio management)
• Explore large datasets, identify patterns, and contribute to insights that inform credit strategies
• Help track how models perform over time, assist with validation, and support documentation to ensure compliance with governance and regulatory standards
• Partner with cross-functional teams (Product, Engineering, Credit) to integrate risk data science with product development and business strategy
• Take on meaningful projects, receive mentorship, and build presentation skills by sharing work with team members and senior leaders

Risk Data Science Intern

• Drive improvements in collections performance through in-depth analysis of delinquency trends, roll rates, and recovery outcomes
• Design, build, and maintain portfolio performance dashboards and internal collections manual review dashboards that track key collections metrics, alert on anomalies and communicate potential risks to leadership
• Perform deep-dive analyses on delinquency and repayment behaviors and provide actionable recommendations to strengthen collections strategies and controls
• Partner with Product and Engineering to design and test collections process automation and tooling
• Support collections model development by preparing performance datasets, validating model outputs, and tracking predictive accuracy over time
• Forecast collections losses, delinquency rates, roll rates, and recoveries using statistical and data-driven methods and recommend mitigation strategies
• Assist in designing, building, and maintaining scalable data pipelines and infrastructure across batch and streaming systems, and support external data integrations and log consumption from third-party vendors
• Collaborate with cross-functional teams to strengthen overall collections performance and stay current on industry delinquency trends and best collections practices

Risk Data Analyst

General Counsel

• Advise product and engineering teams on regulatory, privacy, data security, and compliance issues affecting fintech products
• Partner with product managers and business leaders to design innovative, compliant, and consumer-friendly experiences
• Support the structuring and implementation of products offered through sponsor bank relationships by advocating for Imprint’s product direction with partner banks
• Draft, review, and negotiate a variety of commercial agreements, including SaaS, vendor, and partnership contracts
• Monitor legal and regulatory developments in consumer finance, payments, privacy, and data security, and translate them into practical guidance for internal stakeholders
• Develop scalable legal processes and frameworks to support a rapidly growing business
• Collaborate with compliance, risk, and operations teams to ensure products align with applicable laws and industry best practices
• Contribute to building the foundation of the legal function, with the opportunity to shape culture, tools, and strategy

Product Counsel

Data Engineer

• Build and maintain scalable data pipelines and infrastructure across batch and streaming systems.
• Support and improve core components of Imprint's data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.
• Implement data modeling best practices and contribute to testing, observability, and governance initiatives.
• Collaborate with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.
• Assist with external data integrations, such as partner-facing data shares (e.g., S3, SFTP, Snowflake) and financial reporting pipelines (e.g., with Netsuite).
• Participate in design discussions for scaling data infrastructure, including schema design, orchestration, and data lineage.
• Create clear documentation and ensure reproducibility for datasets and workflows you develop.
• Learn about modern data tools and trends and suggest improvements to existing processes.

Operations

• Manage the full lifecycle of card manufacturing and fulfillment, from design to delivery, ensuring quality, accuracy, and compliance.
• Serve as the primary liaison between issuing banks, networks, processors, and internal teams to coordinate setup, launch, and ongoing program operations.
• Partner with the Go-To-Market team to align on launch readiness and ensure seamless onboarding for new programs.
• Collaborate with Product and Engineering to identify and implement improvements that reduce friction and enhance cardholder experiences.
• Oversee quality control and operational processes to safeguard brand standards and regulatory compliance.
• Stand up playbooks and SOPs that support both program launches and long-term scalability.