Senior Manager of CX Enablement

Imprint

United States

On-site

USD 140,000 - 180,000

Full time

7 days ago
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Job summary

Imprint is seeking a Senior Manager of CX Enablement to own quality, training, and knowledge management systems that power customer experience. You will design QA frameworks, implement AI-powered deflection, and lead content and training excellence across channels.

You will partner with engineering, ops, product, and vendor teams to scale proactive support, build scalable knowledge bases, and drive measurable improvements in agent performance and customer outcomes.

Qualifications

  • 7+ years in customer experience, with 4+ years in quality management, training, enablement, or knowledge management.
  • Experience leading CX quality and training at scale, omnichannel preferred.
  • Strong writing skills and ability to produce compliant content with legal/regulatory teams.

Responsibilities

  • Own the design, implementation, and continuous improvement of quality management frameworks that drive consistent agent performance across omnichannel support.
  • Lead CX knowledge base strategy and operations in Zendesk Guide, including content audits and refresh cadence.
  • Drive AI deflection enablement and integration with Sierra and related LLM-based platforms.
  • Partner with engineering, ops, product, and vendor teams to scale quality and training initiatives.
  • Manage a small team of 2–3 associates and oversee execution, monitoring, and continuous improvement.

Skills

QA framework design
AI-powered deflection
Knowledge management
Agent training excellence
Data-driven decision making
Looker dashboards
Zendesk Guide
Content quality assurance

Tools

Zendesk
Salesforce
Sierra AI
Maestro QA
Klaus
Playbox
Stella Connect
Tether AI

Job description


  • 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

  • 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

  • Partner with Imprints BPO training teams to design and monitor training programs that address systemic quality issues, leverage AI automation, and scale effectively with new partner launches

  • Build and maintain the technical architecture that connects quality inputs (QA automation, CSAT, sentiment analysis) to training outputs and knowledge base improvements

  • Use data from QM platforms, Sierra AI, and CSAT to diagnose root causes of quality issues—differentiating agent behavior from systemic or content gaps

  • Lead partner launch readiness by designing QA strategies, training plans, and content requirements that prevent launch failures and training debt

  • Establish cross-functional collaboration rhythms with vendor ops, engineering, product, fraud ops, partner success, compliance, and legal teams

  • Manage and develop a team of 2–3 associates responsible for execution, monitoring, and continuous improvement of quality and training operations


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’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


You’re equally comfortable in a Looker dashboard and a Zendesk Guide CMS


Data fluency: able to analyze QA trends, CSAT drivers, sentiment data, and agent performance metrics to identify systemic issues vs. behavior gaps


Experience owning CX quality, training, and enablement at scale (100+ agents, in-house or outsourced), ideally omnichannel


Genuine curiosity about how AI is transforming customer service, with a demonstrated commitment to staying at the forefront of CX automation


Exceptional writing skills with the ability to produce compliance-ready content that requires minimal iteration with legal or regulatory teams


7+ years in customer experience, with 4+ years in quality management, training, enablement, or knowledge management roles


Strong technical fluency with CX platforms such as Salesforce, Zendesk Guide and Support, or comparable knowledge base and support systems (not homegrown tools)


Bias toward action and shipping—comfortable building frameworks that get adopted, not just designed


Experience with QM platforms such as Maestro QA, Klaus, Playbox, Stella Connect, Tether AI, or similar quality automation tools


Hands-on experience implementing AI-powered deflection projects using tools like Sierra, Ada, Decagon, Forethought, or comparable LLM-based platforms


Experience in fintech, payments, regulated environments, or industries with complex compliance requirements


Familiarity with training LMS tools and designing scalable learning programs


Track record of redesigning legacy QA or training systems into modern, automated frameworks


Background in customer education, support operations, or contact center quality leadership


Experience working with outsourced BPO partners and driving adoption of new quality or training standards

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