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Imprint
San Francisco, California, United States; New York City, New York, United States
Source: Imprint careers · View original posting
From Imprint's posting. “We” and “our” refer to the employer.
Who We Are
Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com
, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank.
In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.
Lead the adoption of AI-assisted development workflows and evaluate how AI tooling (Claude, Copilot, Cursor) can accelerate pipeline development, testing, documentation, and data quality monitoring across the team
Elevate engineering practices across Analytics, Data, and Engineering teams through architecture reviews, reusable frameworks, mentorship, and hands-on technical guidance
Make strategic technology decisions that balance innovation with pragmatism, influencing technical and business leadership across multiple departments
Your Profile
Required
Nice to Have
Experience in fintech, payments, lending, or regulated financial environments where data accuracy and compliance are non-negotiable
Experience building or scaling data infrastructure at a high-growth startup from early stage through rapid expansion
Familiarity with agentic AI patterns and how they apply to data workflows: automated pipeline generation, prompt-driven data exploration, or AI-powered monitoring and anomaly resolution
Background in building data platforms that serve ML and risk modeling workloads alongside analytics and reporting
We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.
Stack
Snowflake, dbt Cloud, Airflow, Python, SQL. CDC pipelines, reverse ETL, S3/SFTP integrations. AWS infrastructure.
Learn More
Learn more about how we build at Imprint on our engineering blog: https://tech.imprint.co/
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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