SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salesforce is seeking a Success Architect specializing in Agentforce and Data Cloud to drive successful outcomes for strategic customers. In this role, you will serve as a trusted subject-matter expert, leveraging deep technical expertise in data, analytics, and AI to guide customers through complex implementations.
Key responsibilities include engaging with Signature and Strategic customers to evaluate and recommend optimization strategies for technical architecture, DevOps, performance, and solution design. You will identify capability gaps and develop creative architect solutions through customization, while facilitating discussions with executive stakeholders to align technology strategy with business value and ROI.
You will run playbooks aligned with the Success Architect engagement catalog, tailored to unique customer needs and opportunities. Building strong relationships with internal and external business partners is essential, as is driving thought leadership through mentoring and knowledge sharing across the broader Success Architect organization.
Data Cloud is foundational to Agentforce, enabling real-time, intelligent decision-making by centralizing and harmonizing enterprise data. Your expertise will help customers leverage Data Cloud to deliver context-aware AI automation, hyper-personalized customer interactions, and predictive insights, driving operational efficiency and business value.
Required qualifications include fluency in French (written and aural), demonstrated success implementing CDP/AI projects, and the ability to guide customers through complex AI/Data implementations with clear technical direction. You must have a solid understanding of data modeling, integration, and data governance best practices, with excellent communication skills and the ability to translate technical concepts into tangible business value.
Preferred experience includes consulting implementation partner background, expertise with large data platforms (Snowflake, Databricks, AWS, Google Cloud, Azure), and familiarity with Customer Data Platforms (Segment, Tealium, Adobe Experience Platform, etc.). A degree or equivalent professional experience is required.
