Data360 & Agentforce Architects

Description

The Data Cloud and Agentforce Solutions Architect is a key member of the pre-sales organization. You will cover complex technical topics within the sales cycle, helping customers understand how next-generation Salesforce capabilities integrate into their existing architecture.

A critical component of this role is acting as a hands-on technical expert. You won't just talk about the vision; you will design, develop, and deliver Proof of Concepts (POCs) and hackathons. You will transform architectural visions into tangible, working solutions that demonstrate the power of AI-driven, unified data.

Key focus areas include:

• AI/Machine Learning architecture
• Large-scale data unification and modeling
• System integration patterns and solution performance

Responsibilities

• Architect the Vision: Support the sales cycle by covering technical architecture, data strategy, and AI capabilities.
• Build & Deliver: Design and present hands-on POCs and demonstrations that showcase the viability of Agentforce to technical stakeholders.
• Be a Trusted Advisor: Explain the benefits of the Salesforce Customer 360 platform to CIOs, CTOs, and IT teams.
• Define Requirements: Assess and define technical customer needs, focusing on AI and operational data utilization.
• Innovate: Drive innovation projects with impact, including POCs and MVPs.
• Mentor: Coach fellow pre-sales colleagues on the technical intricacies of Data Cloud and Agentforce.
• Lead the Conversation: Act as a thought leader on Generative AI, Data Strategy, and Hyper-Automation.

Qualifications

• Hands-on Experience: Proven track record of running successful technical POCs for complex AI or Data solutions.
• Technical Depth: Deep expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lakes).
• Linguistic Skills: Fluent in English AND German or French (spoken and written).
• Pre-Sales Background: Experience in solution engineering or technical architecture.
• Data Mastery: Knowledge of data architecture principles: ETL/ELT, data modeling, governance, and quality.
• Cloud Fluency: Strong understanding of SaaS, PaaS, multi-tenancy, and data integration patterns.

Preferred Qualifications

• Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud.
• Experience with Large Language Models (LLMs) and Generative AI architectures.
• Salesforce Certified Architect or relevant certifications (AWS, Azure, GCP Data/ML).
• Knowledge of data privacy and compliance requirements.

Benefits

Benefits include:

• Competitive compensation and Employee Stock Purchase Plan.
• Substantial educational and wellbeing reimbursement.
• Attractive parental benefits and leave options.
• Pioneering 1-1-1 philanthropic model.