Customer Success Manager

Salesforce Salesforce · Enterprise · Auckland, New Zealand

Salesforce is seeking a Customer Success Manager to ensure high-value customers achieve significant return on investment with their AI CRM platform. The role involves acting as a trusted advisor, identifying and addressing technical and business concerns, and aligning them with customer priorities. Key responsibilities include customer accountability, strategic advisory, stakeholder management, and monitoring technical health and adoption. The role requires AI literacy, basic prompt engineering skills, and the ability to use AI-driven tools for customer engagement monitoring.

What you'd actually do

  1. Serve as the single point of customer accountability responsible for the delivery of all Signature deliverables, the overall customer experience, and renewal and expansion.
  2. Develop and maintain strong relationships at key stakeholder levels, including cultivating executive-level relationships within customer IT and business leadership.
  3. AI Literacy: Proficiency in using AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring.
  4. Proactively monitor and conduct quarterly reviews, identify trends, and provide tailored release recommendations to ensure stability, performance, and feature enhancement.
  5. Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management to lead and coordinate customer relationships for success and revenue opportunities.

Skills

Required

  • Experience in Customer Success in highly complex customer accounts within the SaaS industry
  • Strong consulting skills and demonstrated ability to drive business value, facilitate discussions, handle objections, and influence C-level conversations.
  • Demonstrates industry expertise and understanding of the broad impact of the industry on the customer’s business.
  • Excellent communication skills to articulate technical issues to diverse audiences and the ability to translate technical concepts into business terms.
  • Actively seek out relevant learning activities, approach obstacles as growth opportunities, and seek experience

Nice to have

  • AI Literacy: Proficiency in using AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring.
  • Prompt Engineering Basics: Ability to use natural-language commands to guide AI agents in retrieving accurate customer data and generating first drafts of success plans.
  • AI Engagement Monitoring: Using AI-driven sentiment and intent analysis to flag early customer concerns for human intervention.
  • Collaborative Learning: Actively seeking out "Agentblazer" training and certifications to stay current on autonomous agent capabilities.

What the JD emphasized

  • AI Literacy
  • Prompt Engineering Basics
  • AI Engagement Monitoring