Deployment Strategist (Mid/Senior Levels)

About the Role Customer impact from day one. Strategic clarity and execution that sticks. Salesforce is hiring Deployment Strategists – Strategic Builders who are customer‑facing advisors, 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 goes beyond deployment; it ensures customers realise lasting, scalable value from the solutions your team builds. Key Responsibilities Full Lifecycle Ownership: Lead end‑to‑end customer engagement across the complete value lifecycle—Identify, Commit, Deploy, Consume—owning outcomes at every stage. 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; serve as the operational backbone of the delivery team. 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 Forward Deployed Engineers to align strategy with technical execution; keep the team focused, unblocked, and on track to hit delivery milestones. AI‑Supported Development: Develop real customer solutions supported by leading‑edge AI tools, including Cursor, Claude, and our coding products like Vibes. Customer Stakeholder Management: Serve as the primary customer‑facing contact, build trust‑based relationships with senior stakeholders, and present proposals, decisions, and outcomes in terms of business value rather than 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 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. 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 25% of the time to customer sites. Preferred Experience Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing). Experience designing and deploying AI solutions in regulated industries (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 equivalent. 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. Benefits and Compensation 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. We offer a comprehensive benefits package that includes time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock‑purchasing program. The typical base salary range for this position is $134,750 – $287,910 annually. In California, New York and selected metropolitan cities (Boston, Chicago, Seattle, Washington DC) the range is $148,190 – $316,750 per year. The range represents base salary only and does not include company bonus, equity or other benefits. EEO Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We assess candidates on the basis of merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law. #J-18808-Ljbffr salesforce.com, inc.