Deployment Strategist

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.

• 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.

• 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 work streams, manage stakeholder expectations, and keep delivery on track in ambiguous environments.
• Ability to travel 25% of the time to customer sites.

• 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…