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, 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.

• 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.

• 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
• 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 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 (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…