Help Agent Manager, Industries

Salesforce Salesforce · Enterprise · Dublin, Ireland

Salesforce is seeking a Help Agent Manager for Industries to own and improve the performance of their AI-powered Help Agent across various Industries Clouds. This role involves managing the agent's resolution rate, developing improvement plans, identifying new capabilities, partnering with Product and Engineering, and managing performance scorecards. The role is focused on driving measurable improvements in the AI agent's ability to autonomously resolve customer cases.

What you'd actually do

  1. Own Help Agent resolution rate performance for Industries Clouds
  2. Build and execute resolution rate improvement plans using data-driven opportunity analysis
  3. Develop and maintain a book of Agent Skills, identifying and justifying new Help Agent capability enhancement opportunities
  4. Partner with Product Management and Engineering on roadmap priorities and technology investments to enable new Agent Skills
  5. Manage scorecards tracking resolution rate trends, top challenges, and skills/opportunity coverage

Skills

Required

  • 3+ years of experience in program management, product management, service delivery, product operations, software development, or a related field
  • Strong analytical and data-driven decision-making skills
  • Demonstrated ability to work cross-functionally with Product, Engineering, and Customer Success organizations
  • Strong written and verbal communication and stakeholder management skills
  • Familiarity with AI, conversational AI, or support automation technologies
  • A proactive approach to roadmap development and engineering engagement

Nice to have

  • Experience with Salesforce Industries products (e.g., Financial Services Cloud, Health Cloud, Manufacturing Cloud, Consumer Goods Cloud, etc.)
  • Prior experience with help agent, chatbot, or virtual assistant performance improvement
  • Experience with self-help resolution rate metrics, support case analysis, or top case driver classification frameworks
  • Familiarity with agentic observability tools, Tableau dashboards, and/or similar analytics platforms
  • Background in managing programs at the intersection of AI systems and human support teams
  • Experience supporting enterprise customers in regulated or complex industries (e.g., financial services, healthcare, manufacturing)

What the JD emphasized

  • critical role
  • direct ownership
  • direct responsibility
  • measurable improvement
  • autonomously resolve

Other signals

  • AI-powered agent
  • customer support delivery
  • agentic era
  • Help Agent performance
  • resolution rate outcomes
  • capability enhancement opportunities
  • roadmap priorities
  • content strategy
  • data management planning
  • error analysis reporting
  • opportunity analytics
  • Agent Evaluations
  • AI Tooling