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Deployment Strategist

Salesforce· Sales
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Hybrid (Paris)Full timePosted 2mo ago

About the role

Salesforce is hiring Deployment Strategists—Strategic Builders who are customer-facing advisors that define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. The role is delivery-focused, time-bound (typically 12 weeks or less), and involves end-to-end engagement from discovery to value realization across Salesforce's agentic AI platform, Data Cloud, and enterprise systems.

Responsibilities

  • Full Lifecycle Ownership: Lead end-to-end customer engagement across Identify → Commit → Deploy → Consume, owning outcomes at every stage.
  • AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap; lead design workshops and jobs-to-be-done analyses; architect solutions leveraging Salesforce's agentic AI platform, Data Cloud, and enterprise systems with responsible AI governance.
  • Deployment Oversight & Program Management: Manage engagement delivery timelines, stakeholder communication, risk escalation, and progress reporting.
  • Adoption & Consumption: Own adoption, consumption, and expansion metrics; identify blockers and develop value realization strategies.
  • Delivery Team Coordination: Partner with Forward Deployed Engineers to align strategy with technical execution; keep team focused and on track.
  • AI-Supported Development: Develop real customer solutions using AI tools (Cursor, Claude, Vibes) to accelerate development.
  • Customer Stakeholder Management: Serve as primary client-facing contact; build trust-based relationships with senior stakeholders and present business-value propositions.
  • AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation.
  • Product Feedback Loop: Translate field insights into actionable product feedback for the Agentic AI platform roadmap.

Qualifications

  • 4+ years experience in strategic solutioning, technical advisory, or delivery leadership/program management for enterprise cloud or SaaS technology
  • Degree in Computer Science or a related field
  • Prior customer-facing delivery experience (consulting, professional services, or technical advisory)
  • Understanding of Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
  • Working knowledge of Python, JavaScript, Java, or Apex
  • Proven ability to lead and own complex, ambiguous engagements end-to-end
  • Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
  • Strong project and programme management skills; ability to manage multiple workstreams in ambiguous environments
  • Ability to travel 25% of the time to customer sites

Skills

Required:Strategic solutioningCustomer-facing deliverySalesforce platform & Data CloudProgramming

Benefits

  • Unleash Your Potential section emphasizes development resources, AI agents, and career growth opportunities (from the job description)
Last updated Oct 25, 2026. Interested? Apply on the company site.
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