Marketing, Strategy & Analytics Lead

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $120K - $140K

Imprint is revolutionizing co-branded credit cards and financial products, making them smarter, more rewarding, and brand-centric. We partner with leading companies to launch modern credit programs that enhance loyalty, provide savings, and drive growth. Our platform integrates advanced payments infrastructure, intelligent underwriting, and a seamless user experience, empowering brands to offer robust financial products without becoming a bank.

About Imprint

Co-branded cards represent a significant portion of U.S. annual spending, yet many are still reliant on outdated banking systems. Imprint offers a modern, flexible, and tech-forward alternative designed for today's consumers. With backing from prominent investors like Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to redefine payment experiences and brand growth strategies. We seek individuals who thrive in fast-paced environments, enjoy tackling complex challenges, and aim to make a substantial impact.

The Marketing Team

The marketing team is dedicated to achieving rapid customer growth through innovative acquisition strategies and personalized lifecycle communications across all channels. We meticulously track and foster customer franchise growth by optimizing customer journeys based on analyses of customer shopping behavior, needs, intentions, and responses. Close collaboration with leadership, cross-functional teams, and merchant partners is essential to meeting ambitious growth targets.

The Role: Marketing Strategy & Analytics Lead

The Marketing Strategy & Analytics Lead will be responsible for developing and scaling data-driven contact strategies for personalized programs across various channels. This role involves optimizing targeting, generating insights to drive growth and innovation, and executing an advanced modeling (AI-ML) roadmap and agile experimentation (test & learn) agenda. You will design, develop, and implement advanced analytics solutions, translating them into actionable go-to-market strategies. The ideal candidate will have experience collaborating with diverse stakeholders across functions and building strong, trust-based relationships. We are committed to supporting your professional growth and development, offering opportunities to take on significant responsibility in a dynamic, fast-paced setting.

What You'll Do

• Support the strategic vision and analytical frameworks necessary to ensure customer engagement and satisfaction with our content and messaging, driving customer growth through effective analytics.
• Design and construct the data infrastructure required for marketing automation, including data sourcing and integration across systems/partners, building comprehensive customer profiles, establishing metadata, and enabling advanced personalization capabilities.
• Develop experimentation and measurement plans, analyzing customer behavior data to inform and continuously optimize acquisition and engagement strategies.
• Drive improvements in marketing technology (martech), including data flow into and out of systems and feature enhancements, to facilitate 1:1 personalization and automation across all channels. Develop detailed requirements for new functionalities.
• Build tool-agnostic marketing automation capabilities to deliver real-time consumer journeys, encompassing next best action recommendations, content selection, and experimentation.
• Cultivate a collaborative, data-driven culture within the team and across the organization, promoting a deep understanding of key performance drivers.

What We Look For

• Over 5 years of experience in developing data-driven strategies to mobilize businesses towards achieving goals and outcomes through innovative solutions.
• Proven experience leading complex, cross-functional initiatives.
• Demonstrated ability to influence stakeholders, both with and without direct authority.
• Strong background in descriptive and predictive analytics, including gathering requirements to meet data and technology prerequisites.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, and deep learning.