Success Architect - Agentforce - French / Italian Speaker
Salesforce · United Kingdom - London
hybridfull-time6-10 years
posted 10h
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 an Agentforce Success Architect, you will play a crucial role in driving successful outcomes for our strategic customers by leveraging your technical expertise in AI-driven agent design, orchestration, and automation. Agentforce is Salesforce's platform for building and deploying autonomous AI agents that take action across sales, service, and marketing. These agents rely on trusted, unified data to make real-time, context-aware decisions, which is where Data360 comes in. A working knowledge of how Data360 fuels Agentforce (grounding, harmonized customer data, real-time signals) is valuable in this role, even though the core focus is agent architecture, design, and deployment. Responsibilities: Be a trusted Agentforce subject-matter expert for the broader Success Architect organisation, including how Data Cloud relates to the success of AI Engage with our Signature and Strategic customers to evaluate and recommend optimisation strategies for technical architecture, dev/ops, performance, and solution design specific to Agentforce Identify and evaluate capability gaps for standard product capability or identify creative Architect solutions through customisation Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI Run playbooks aligned with our Success Architect engagement catalog, tailored to the unique needs and opportunities of Agentforce customers Build strong relationships with both internal and external business partners, contributing to broader goals and growth Drive thought leadership through mentoring and knowledge sharing Your Impact As an Agentforce Success Architect, you will have a significant impact on our customers' success and the growth of our organisation. Your expertise and guidance will directly influence the technical architecture, performance optimisation, and solution design strategies for our strategic customers, ensuring their success in leveraging Agentforce powerful capabilities. By driving customer satisfaction and delivering exceptional value, you will contribute to the overall growth and reputation of Salesforce as a leader in the industry. Collaboration and Team Work Collaboration is at the core of our success, and as an Agentforce Success Architect, you will have the opportunity to work closely with diverse teams of professionals. You will collaborate with customers, colleagues, and partners to evaluate technical architecture, optimise performance, and design effective solutions. By fostering strong relationships and working collaboratively, you will contribute to the collective success of our teams and the achievement of our goals. Minimum Requirements: Minimum of 4 Years relevant industry experience Demonstrated success in implementing AI projects either directly or as part of a Customer Success team. Demonstrated ability to guide customers through complex AI implementations