Principal, Data Cloud Solution Engineer

Salesforce is a leading customer relationship management (CRM) platform, focusing on delivering customer success through Data, AI, CRM, and Trust.
Data
Principal Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS

Description For Principal, Data Cloud Solution Engineer

Salesforce Data Cloud is seeking a Principal, Data Cloud Solution Engineer to join their innovative team. This role combines executive-level presence with full-stack technical skills to ensure Data Cloud delivers value to customers integrated with complex data architectures. Key responsibilities include conducting technical meetings, collaborating with Account Executives to develop industry-specific use cases, implementing scalable evaluation programs, partnering with product teams, developing technical assets, and delivering Salesforce's point-of-view on data strategy. The ideal candidate will have experience in customer-facing solutioning for Data, Analytics, AI, and CRM, full-stack technical qualifications, and the ability to drive customer success in large, complex selling organizations. Preferred skills include hands-on expertise in modern cloud data platforms, AI technologies, and technical knowledge of the Salesforce platform. Join Salesforce Data Cloud and be part of a dynamic environment driving innovation in next-generation technology.

Last updated a day ago

Responsibilities For Principal, Data Cloud Solution Engineer

  • Arrange and conduct technical meetings throughout the opportunity lifecycle
  • Collaborate with Account Executives to develop industry-specific use cases
  • Implement programs to scale technical evaluation of Salesforce Data Cloud
  • Collaborate with product teams on solutions and roadmap
  • Develop scalable, reusable technical assets
  • Partner with Product Marketing on messaging and sales plays
  • Deliver Salesforce's point-of-view for data strategy aligned to industry-specific use cases

Requirements For Principal, Data Cloud Solution Engineer

Python
  • Experience in customer-facing solutioning for Data, Analytics, AI and CRM
  • Full-stack technical qualifications (CRM, Data Architecture, AI/ML)
  • Experience integrating complex data architectures
  • Skilled at guiding impactful discovery conversations
  • Experience driving customer success in large, complex selling organizations
  • Persuasive verbal, written, presentation and interpersonal communication skills

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