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Salesforce Success Architect - Gen AI & Agentforce

salesforce

New
Senior 🇬🇧 English
Einstein Agentforce Data Cloud Snowflake Databricks AWS Google Cloud Azure Python Java .NET SQL

Job description

About the role

Salesforce is looking for a Success Architect focused on its Agentforce and Data Cloud offerings. The role acts as a trusted subject-matter expert for the Success Architect organization, advising Signature and Strategic customers on technical architecture, development and operations, performance and solution design, and helping them close capability gaps.

Key responsibilities

  • Advise Signature and Strategic customers on optimization strategies for technical architecture, dev/ops, performance and solution design, and identify capability gaps and creative Architect solutions.
  • Facilitate and influence executive stakeholders, run playbooks from the Success Architect engagement catalog and build internal and external partnerships.
  • Lead enterprise success strategy with an AI-first mindset, using Einstein, Agentforce and generative AI for executive-level deliverables and portfolio insights.
  • Define standards, playbooks and governance for AI tool usage with Customer Success leadership.

Required profile

  • Minimum 8 years of proven experience implementing enterprise software solutions in analytics/CDP spaces, including at least 2 Salesforce Data Cloud/CDP and AI implementation lifecycles.
  • Deep understanding of data modeling, integration architectures and data governance, with guidance of customers through migration to and optimization of Agentforce and Data Cloud.
  • Demonstrated senior, customer-facing experience with Einstein, Agentforce or equivalent platforms, and strong communication skills to turn technical concepts into executive-ready narratives.
  • Degree or equivalent experience.

Required skills

  • Einstein, Agentforce and generative AI
  • Data modeling, integration architectures and data governance
  • Preferred: Data Cloud/CDP implementation partner experience, large data platforms such as Snowflake, Databricks, AWS, Google Cloud, Azure, Segment, Tealium, Adobe Experience Platform, Amperity or Treasure Data
  • Preferred: familiarity with Salesforce architecture domains (Integration, Access and Identity Management, Data Architecture, Sharing and Visibility, Declarative and APEX Development)
  • Preferred: Python, Java.NET, SQL

Questions fréquentes

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Source : ats:workday

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Published 12 hours ago

Expires 1 month from now

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