Job Opportunities API

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 http://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. THE OPPORTUNITY - Own the design, development, and delivery of scalable data models, semantic layers, and dashboards that serve business-critical reporting across Imprint - Partner directly with Engineering, Product, Finance, Marketing, and Operations to translate ambiguous business questions into reliable, scoped data solutions - Build and maintain dbt models that establish consistent, reusable data definitions and reduce ad hoc request volume through self-serve analytics infrastructure - Leverage AI-assisted development tools (Claude, Cursor, Copilot) to accelerate implementation, from SQL generation and model scaffolding to automated documentation, while owning the analytical design and validation - Own data quality, governance, and documentation practices for BI assets, ensuring dashboards and models are accurate, trustworthy, and discoverable - Surface insights proactively by identifying gaps and opportunities in the business, not just responding to inbound requests - Evaluate and adopt emerging AI tooling to improve team velocity, contributing to how the BI team integrates AI into its standard workflows YOUR PROFILE Required - Proven experience designing and delivering production-grade data solutions in a complex, high-scale environment - Deep SQL proficiency and strong data modeling fundamentals; the ability to read, validate, and direct complex queries matters more than raw writing speed in an AI-assisted workflow - Experience with a modern data stack (e.g., Snowflake or Databricks, dbt, Sigma or Looker) - Strong ability to work directly with stakeholders, translating ambiguous business questions into clear, scoped data products that non-technical users actually adopt and trust - Active experience building with AI tools (Claude, Codex, Copilot, Cursor, or similar) integrated into daily analytical and engineering workflows, not just awareness - Comfort operating in a fast-moving startup environment where you own projects end-to-end, prioritize based on business impact, and move fluidly between writing production SQL and sitting with stakeholders to define what "good" looks like Nice to Have - Experience in fintech, payments, lending, or regulated financial environments - Experience building or scaling BI infrastructure at a high-growth startup, including governance and data quality frameworks from scratch - Familiarity with data orchestration tools (e.g., Airflow) and Python or other scripting languages for transformation and automation - Experience defining AI-augmented analytics workflows at a team level: AI-assisted code review, automated documentation, prompt-driven data exploration, or agentic patterns