Consumption Lead, Data360 And Agentforce

swisssalesjobs.ch

Fully remote
Customer-facing solutioning for data, analytics, ai, and crm
Technical expertise in crm, data architecture, ai/ml
Managing executive relationships including c-level
The Consumption Lead role combines technical and commercial responsibilities to accelerate Data Cloud & Agentforce consumption and deliver customer success

Job Summary

  • The Consumption Lead role combines technical and commercial responsibilities to accelerate Data Cloud & Agentforce consumption and deliver customer success.
  • This is an individual contributor position that requires building executive relationships and guiding customers through technology strategies and adoption plans.
  • Salesforce offers a flexible office environment with benefits supporting work-life balance and AI tools to enhance employee impact.

Matching Summary

The Consumption Lead role combines technical and commercial responsibilities to accelerate Data Cloud & Agentforce consumption and deliver customer success.

Skills & Requirements

Must-have

  • Customer-facing solutioning for Data, Analytics, AI, and CRM
  • Technical expertise in CRM, Data Architecture, AI/ML
  • Managing executive relationships including C-Level
  • Driving onboarding and consumption of Data Cloud & Agentforce
  • Collaboration with sales and engineering teams
  • Strong communication skills at executive level
  • Knowledge of Salesforce platform and Martech stack

Nice-to-have

  • Passion for operational excellence and scalable consumption
  • Curiosity and continuous learning in AI and data technologies
  • Proactive attitude and self-starting mindset
  • Commitment to data ethics and privacy
  • Excellent workshopping and whiteboarding skills
  • Experience building 0-1 products
  • Ability to facilitate difficult discussions and handle objections

Key Requirements

  • 7+ years in customer-facing roles with Data, Analytics, AI, and CRM
  • Salesforce Admin and Advanced Admin level certifications
  • English proficiency written and verbal
  • Experience managing complex selling organizations
  • Deep understanding of industry-specific data architectures
  • Experience with modern cloud data platforms and AI/ML concepts

Work Rights

Not specified

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