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From the employer's careers site First seen 1 Nov 2026 · Still live on 5 Nov 2026

Deployment Strategist

Salesforce senior full-time

Salary

$134,750 - $287,910 annually

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Description

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.

Key Responsibilities:

  • Lead end-to-end customer engagement across the complete value lifecycle , Identify → Commit → Deploy → Consume , owning outcomes at every stage
  • Define the customer's Agentic AI strategy and roadmap
  • Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting
  • Own adoption, consumption, and expansion metrics within your engagement scope
  • Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution
  • Develop real customer solutions supported by leading-edge AI tools, including Cursor, Claude, and coding products like Vibes
  • Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders
  • Assess customer readiness for AI adoption and guide change management and process transformation
  • Synthesize field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap

Required Qualifications:

  • Degree in Computer Science or a related field
  • 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or program management for enterprise cloud or SaaS technology
  • Proven experience managing and delivering customer-facing projects within Public Sector, Higher Education, or Nonprofit environments
  • Prior customer-facing delivery experience (consulting, professional services, or technical advisory)
  • 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 program 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

Preferred Experience:

  • 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, organizational 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

Skills

Required

Nice to have

  • Salesforce Data Cloud
  • Agentforce platform
  • Salesforce CRM
  • change management
  • organizational design
  • enterprise transformation
  • AI/ML concepts
  • NLP
  • RAG architectures
  • model evaluation frameworks
Apply on Salesforce