Salesforce Success Architect

Salesforce Salesforce · Enterprise · Hyderabad, India, India

Salesforce is seeking a Success Architect to drive successful outcomes for strategic customers by leveraging technical expertise in data and analytics, specifically focusing on Agentforce and Data Cloud. The role involves evaluating and recommending optimization strategies for technical architecture, dev/ops, and solution design, acting as a subject-matter expert, and translating technical concepts into business value for customers. The role emphasizes collaboration, thought leadership, and ensuring customer success with AI-driven solutions.

What you'd actually do

  1. Be a trusted Agentforce + Data Cloud subject-matter expert for the broader Success Architect organization, including how Data Cloud relates to the success of AI
  2. Engage with our Signature and Strategic customers to evaluate and recommend optimization strategies for technical architecture, dev/ops, performance, and solution design specific to Agentforce + Data Cloud
  3. Identify and evaluate capability gaps for standard product capability or identify creative Architect solutions through customization
  4. Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI
  5. Run playbooks aligned with our Success Architect engagement catalog, tailored to the unique needs and opportunities of Agentforce + Data Cloud customers

Skills

Required

  • enterprise consulting
  • implementing enterprise software solutions in the Analytics/CDP spaces
  • Salesforce Data Cloud/CDP + AI implementation lifecycles
  • data modeling
  • integration architectures
  • data governance best practices
  • communication skills
  • collaboration with cross-functional teams
  • translating technical concepts to business value
  • understanding of data-related and AI technologies
  • Data Ethics and Privacy
  • remote collaboration

Nice to have

  • consulting/implementation partner experience for Data Cloud/CDP
  • experience with large data platforms (Snowflake, Databricks, AWS, GCP, Azure)

What the JD emphasized

  • Minimum 2 development/project implementation lifecycles of Salesforce Data Cloud/CDP + AI
  • translate technical concepts & solutions into tangible business value and ROI for customers
  • Data Ethics and Privacy