Sr. Manager of CX Enablement

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.

About You

You've owned CX quality at a contact center scale of 200+ agents (in-house or BPO), built a QA framework from rubric through calibration, and shipped training programs that measurably moved agent performance. You're equally comfortable in a Looker dashboard and a Zendesk Guide CMS. You've worked alongside or implemented an AI deflection product (Sierra, Ada, Decagon, Forethought) and can speak credibly about what makes AI-mediated support actually work.

Role Summary

As Senior Manager of CX Enablement, you will own the quality, training, and knowledge management systems that power Imprint's customer experience. This is a strategic leadership role combining QA framework design, AI-powered deflection enablement, knowledge base ownership, and agent training excellence.

You will drive the architecture that connects quality inputs to AI systems (Sierra), knowledge management, and training outputs—ensuring content quality compounds rather than degrades as Imprint scales. You'll partner closely with engineering, ops, product, and vendor teams to transform customer support from reactive to proactive through automation, rigorous quality frameworks, and data-driven training strategies.

This role reports directly to the Director of Customer Operations and manages a small team of 2–3 associates focused on execution and continuous improvement.

What Success Looks Like in the First 90 Days

Completed a comprehensive knowledge base audit with defined ownership model between CS, engineering, and ops, including refresh SLAs in Zendesk

Designed and shipped a new QA framework that moves from manual contact center approaches to fully automated quality scoring with clear expectations

Established Sierra AI deflection enablement system with daily feedback loops, gap detection, and content optimization for AI ingestion and delivery

Built a scalable partner launch QA and training strategy and applied it to an active launch with measurable quality improvements over prior launches

Created a structured training rehaul plan in collaboration with our outsourcing partner, focusing on strategic oversight and outcome monitoring

Established trusted partnerships with key cross-functional stakeholders including vendor ops, AI product team, partner success, compliance, and legal

Responsibilities

Own the design, implementation, and continuous improvement of quality management frameworks that drive consistent agent performance across omnichannel support

Lead knowledge base strategy and operations in Zendesk, including content audits, ownership models, refresh cadence, and optimization for both human agents and AI consumption

Drive Sierra AI deflection strategy by analyzing feedback data, identifying content gaps, optimizing knowledge for LLM ingestion, and improving customer-facing AI delivery