Customer Success Manager - Core/data Cloud

Salesforce Salesforce · Enterprise · Mexico City, Mexico

Salesforce is seeking a Customer Success Manager (CSM) 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, driving adoption of Sales Cloud features, and managing customer relationships. The CSM will leverage AI literacy, basic prompt engineering, and AI-driven monitoring tools to enhance customer success and proactively manage risks.

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. Coordinate all deliverables the customer is entitled to, overseeing the experience throughout the Signature lifecycle
  3. Apply the correct processes to address customer needs and ensure value is delivered through the Signature offer.
  4. Successfully align with and manage both Business and Technical Stakeholders, focusing on aligning Business Value and Technical Goals to the Signature offer.
  5. Prioritize the most urgent work activities, organize tasks to avoid missing key steps, and create basic plans to focus time, taking responsibility for assigned tasks.

Skills

Required

  • Experience supporting customers using Sales Cloud
  • Working knowledge of core Sales Cloud features: Leads, Accounts, Contacts, Opportunities, Forecasting, Reports & Dashboards
  • Understanding of sales processes (lead-to-cash, opportunity management, pipeline management)
  • Familiarity with Sales Cloud automation (workflows, process builder, flows for sales processes)
  • Ability to demonstrate AI Literacy
  • Ability to use natural-language commands for AI agents
  • Ability to use AI-driven sentiment and intent analysis
  • Ability to seek out 'Agentblazer' training and certifications

Nice to have

  • AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring
  • Guide AI agents in retrieving accurate customer data and generating first drafts of success plans
  • Flag early customer concerns for human intervention
  • Stay current on autonomous agent capabilities
  • Ask effective diagnosis questions
  • Align platform features with customer priorities and roadmaps
  • Provide tailored release recommendations
  • Ensure timely communications and resolution of issues
  • Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management
  • Communicate clearly and proactively with collaborators

What the JD emphasized

  • AI Literacy
  • Prompt Engineering Basics
  • AI Engagement Monitoring
  • Agentblazer training