Success Guide Data Cloud/D360
SalesforceIreland - DublinPosted 27 March 2026
Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Customer Success
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
At Salesforce, we are dedicated to fostering a diverse and inclusive workplace where individuals from all backgrounds are welcomed and valued. We believe that the unique perspectives and skills of diverse candidates greatly contribute to the success of our teams. As a Data Cloud Agentforce Success Guide, you will play a crucial role in driving successful outcomes for our strategic customers by leveraging your technical expertise in data and analytics.
Data Cloud is the foundation of Agentforce , enabling real-time, intelligent decision-making by centralising and harmonising enterprise data. By leveraging Data Cloud, Agentforce can deliver context-aware AI automation, hyper-personalised customer interactions, and predictive insights , driving greater operational efficiency and business value.
Additionally, Data Cloud supports seamless integration with Salesforce Marketing, Sales, and Service Clouds , enabling Customer 360 use cases. This ensures that businesses can unify customer data across all touchpoints, enhancing AI-driven marketing automation, personalised engagement, and predictive customer insights .
By powering hyper-personalised experiences and real-time decision-making , Data Cloud helps organisations maximise customer lifetime value and drive business growth. These two products play seamlessly together and require a resource to speak intelligently to both.
Responsibilities:
Be a trusted Data Cloud subject-matter expert for the broader Success Guide organisation, including an understanding of how Data Cloud relates and supports the success of AI and vice versa
Engage with our Premier and Signature customers both reactively and proactively to enable, advise, and optimise current Data Cloud and Agentforce usage
Run engagements aligned with Data Cloud product capabilities, tailoring conversations to the unique needs and opportunities of our customers
Build strong relationships with both internal and external business stakeholders
Drive thought leadership, when possible, through mentoring and knowledge sharing
Impact of the Role:
The Success Guide plays a critical role in helping customers realise value and accelerate the adoption of both Data Cloud and Agentforce platforms. This role blends technical expertise and business acumen, allowing you to deeply coach customers on best practices and product capabilities across both products. Your guidance will directly influence the quality of a customers' product adoption, satisfaction, and return on investment, ensuring their success in leveraging Salesforce's powerful data and AI capabilities. The role is both proactive and reactive — delivering 1:1 Success Requests, Expert Coaching Sessions, and acting as a trusted advisor. Success Guides partner with key collaborators such as Success Managers, Account Executives, and Support to help customers reach their business goals and drive measurable product adoption.
Collaboration and Teamwork:
Collaboration is at the core of our success, and as a Data Cloud or Agentforce Senior Success Guide, you will have the opportunity to work closely with diverse teams of professionals. You will collaborate with customers ... (truncated, view full listing at source)
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