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Harvey

Manager, CX Knowledge & Enablement

Harvey

. Own the knowledge infrastructure strategy, including architecture, consolidation, governance, and platform decisions .

Posted 10/16/2026full-timeSan Francisco • California • United StatesSeniorLead💰 $144,000 - $216,000 per yearWebsite

About the role

Key responsibilities & impact
  • Own the knowledge infrastructure strategy, including architecture, consolidation, governance, and platform decisions
  • Architect structured, retrievable, and reliable knowledge for human and AI consumers
  • Define support competency standards from onboarding through mastery
  • Own the quality system and route knowledge gaps back into the platform
  • Build the release-to-readiness loop with Product and Product Ops
  • Design audience-appropriate learning strategies across instructor-led, self-paced, written, video, peer, and in-workflow formats
  • Build and lead the Enablement team, including hiring and capability development
  • Measure specialist ramp time, performance attainment, release competency, resolution quality, and self-serve/agent-handled deflection
  • Use AI to generate and maintain content, detect staleness and gaps, and automate enablement work
  • Partner with AI Support, Engineering, Product, and GTM Enablement
  • Report effectiveness and targeted action plans to leadership
  • Report to the CX Operations Manager

Requirements

What you’ll need
  • 8+ years across knowledge management, support enablement, education, trust & safety, or a related function
  • Experience building or leading a team and owning a system rather than a program
  • Experience architecting knowledge systems serving large user and AI agent populations
  • Experience with consolidation or platform migration from fragmented surfaces to one system
  • Experience launching, managing, and improving knowledge or training platforms
  • Data-driven approach to measuring ramp, quality, and resolution outcomes
  • Strong instructional design range across multiple learning formats and audiences
  • Experience with fast release cycles and rapidly evolving products and processes
  • Deep familiarity with AI-assisted support workflows
  • Experience building content for AI systems and people, or a clear point of view on shared knowledge bases
  • Strong cross-functional partnership across Product, Engineering, AI, and GTM
  • Excellent communication skills
  • Bonus: experience supporting a legal, regulated, or otherwise high-stakes customer base

Benefits

Comp & perks
  • Equity plan
  • Bonus eligibility
  • Comprehensive health coverage
  • Dental coverage
  • Vision coverage
  • Retirement benefits with 401(k) match up to 4%
  • Flexible PTO
  • Hybrid work model
  • Reasonable accommodations for applicants with disabilities