Deployment Strategist, Arabic Speaking

Role Overview

Deployment Strategist, Arabic Speaking at Salesforce. This is a customer-facing strategic advisory role focused on defining AI strategy, architecting agentic solutions, and driving measurable adoption for enterprise customers.

Company Overview

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The company is leading workforce transformation in the agentic era, with Agentforce as the future of AI. Salesforce values ambition, innovation, trust, and core organizational values centered on bettering business and the world through AI.

Role Purpose

Lead end-to-end customer engagements across the complete value lifecycle — Identify, Commit, Deploy, Consume — defining agentic AI strategy, architecting enterprise solutions, and ensuring customers realize lasting, scalable 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

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.
• Assess customer readiness for AI adoption and guide change management and process transformation to maximize the benefits of intelligent agents.

Deployment & 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, ensuring nothing falls through the cracks.
• Own adoption, consumption, and expansion metrics within 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.
• Lead complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes.

Customer Stakeholder Management

• Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders.
• Present proposals, decisions, and outcomes in terms of business value, not just technical detail.

Product & Development

• Develop real customer solutions supported by leading-edge AI tools including Cursor, Claude, and coding products like Vibes to accelerate development.
• Synthesize field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

Qualifications & Experience

• 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology.
• Degree in Computer Science or a related field.
• Prior customer-facing delivery experience in 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.
• Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices.
• Business level proficiency in Arabic and English.

Skills & Competencies

• Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments.
• Proven ability to lead and own complex, ambiguous engagements end-to-end.
• Ability to travel to customer sites as needed to ensure client success.

Additional Information

Preferred Experience

• Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing).
• Experience designing and deploying AI solutions in regulated industries, such as public sector, financial services, or healthcare.
• Salesforce platform certifications such as Data Cloud Consultant, Agentforce Specialist, or Application Architect, or similar platform certifications from Microsoft, Oracle, or similar providers.
• Background in change management, organisational design, or enterprise transformation.
• Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks.
• Get-things-done mindset with strong bias for action — comfortable operating in unstructured, fast-moving environments.