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Deployment Strategist

Salesforce, Inc
Riyadh, KSA
Senior
Field
2 weeks ago
AI StrategyAgentic AISalesforce PlatformData CloudProgram ManagementStakeholder Management
Free

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Job Details

  • Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
  • 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.

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.
  • Deployment Oversight & Program Management: Manage engagement delivery end to end timelines, stakeholder communication, risk escalation, and progress reporting.
  • 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.
  • 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.
  • Customer Stakeholder Management: Serve as the primary customer facing contact, building trust based relationships with senior stakeholders.
  • AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation.
  • 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, 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 workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
  • Ability to travel 25% of the time to customer sites
  • Business level proficiency in Arabic and English
  • Computer Science (CS) degree or related.

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, 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

About Salesforce

  • Salesforce is an equal opportunity employer and maintains a policy of non discrimination with all employees and applicants for employment.
  • Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.

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