Job Purpose
- The Content Manager is the architect of Moniepoint’s knowledge ecosystem. Your mission is to ensure that every piece of information—whether used by an agent in a live chat or a customer interacting with a bot—is accurate, simple, and helpful.
- As we scale, you will bridge the gap between complex product updates and human-centric support. You ensure our teams have the right "Source of Truth" to deliver financial happiness, reducing effort for both our customers and our staff.
Key Responsibilities
Knowledge Base Ownership & Governance:
- The Single Source of Truth: Own and maintain the Customer Support Knowledge Base, ensuring it remains the definitive guide for all support interactions.
- Standards & Strategy: Establish content standards and templates that keep our SOPs, guides, and articles consistent and easy to navigate.
- Continuous Auditing: Lead regular content reviews to prune outdated info and ensure our knowledge stays as fast-paced as our product launches.
Bot Knowledge & Automation:
- Teaching our Bots: Develop and manage the repository that powers our chatbots and AI tools.
- Closing the Gaps: Analyze bot-to-human escalations to identify where our automated knowledge is missing the mark and iterate quickly.
- Scaling Self-Service: Partner with engineering teams to improve how customers find answers themselves, driving higher containment rates.
Content Design & Optimization:
- Make it Simple: Translate technical product specs and complex policies into clear, conversational guidance that anyone can understand.
- Fast Consumption: Design content specifically for high-pressure environments, ensuring agents can find and use information in seconds during live interactions.
- Customer-Facing Clarity: Create help center content that empowers customers to solve problems without needing to reach out.
Cross-Functional Collaboration:
- Product Sync: Work with Product Managers to ensure support content is ready before new features go live.
- QA Alignment: Partner with the Quality Assurance team to ensure our knowledge articles actually drive the service standards we’ve set.
- L&D Integration: Ensure that what we teach new hires in onboarding matches the live documentation in the knowledge base.
Insights & Performance:
- Measure Success: Track how effectively our knowledge is being used by monitoring metrics like agent usage, miscategorization rates, and bot accuracy.
- Data-Driven Iteration: Use support data and feedback loops to identify "high-friction" topics and rewrite content to solve them.