Principal/ Distinguished Deployment Strategist

Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle Identify Commit Deploy Consume owning outcomes at every stage, not just discovery or deal closure AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start. Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks. Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones. AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including Cursor, Claude, and our coding products like Vibes, to accelerate development. Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail. AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap. Required Qualifications 4+ years (6-10 years for Senior levels) experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology You have a degree in Computer Science or a related field Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex Proven ability to lead and own complex, ambiguous engagements end-to-end from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and programme management skills ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments Ability to travel to customer sites as needed to ensure client success Business level proficiency in Italian and English Computer Science or Related Degree Preferred Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing) Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare) Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action comfortable operating in unstructured fast moving environments Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Desired Candidate Profile 4+ years (6-10 years for Senior levels) experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology You have a degree in Computer Science or a related field Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex Proven ability to lead and own complex, ambiguous engagements end-to-end from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and programme management skills ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments Ability to travel to customer sites as needed to ensure client success Business level proficiency in Italian and English Computer Science or Related Degree Preferred Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing) Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare) Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action comfortable operating in unstructured fast moving environments