Principal Technical Deployment Strategist

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, 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. 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 to customer sites as needed to ensure client success • 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 • • 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 to customer sites as needed to ensure client success • Business level proficiency in Arabic and English • Computer Science (CS) degree or related.