pSalesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds. /ph3bKey Responsibilities /b /h3ullipFull 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 /p /lilipAI 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. /p /lilipDeployment 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. /p /lilipAdoption Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization /p /lilipDelivery 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. /p /lilipAI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including /p /lilipCursor, Claude, and our coding products like Vibes, to accelerate development. /p /lilipCustomer 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. /p /lilipAI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents /p /lilipProduct Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap. /p /li /ulh3bRequired Qualifications /b /h3ullip4+ 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 /p /lilipYou have a degree in Computer Science or a related field /p /lilipPrior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement,

not a nice-to-have /p /lilipDemonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud /p /lilipWorking knowledge of one or more programming languages: Python, JavaScript, Java, or Apex /p /lilipProven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes /p /lilipExperience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices /p /lilipStrong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments /p /lilipAbility to travel 25% of the time to customer sitesֿ /p /lilipBusiness level proficiency in Italian and English /p /lilipComputer Science (CS) degree or related. /p /li /ulh3bPreferred Experience /b /h3ullipExperience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing) /p /lilipExperience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare) /p /lilipSalesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms. /p /lilipBackground in change management, organisational design, or enterprise transformation /p /lilipExperience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks /p /lilipA get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments /p /li /ul #J-18808-Ljbffr

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