Principal Technical Deployment Strategist, Arabic Speaking

457 SFDC Arabia Limited Company; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

457 SFDC Arabia Limited Company is seeking a strategic Delivery Leader to own end-to-end Salesforce engagement programs in the Saudi market. You will guide AI-driven solutions, define architecture, lead multi-disciplinary teams, and ensure value realization for enterprise clients.

The role requires deep Salesforce knowledge, data cloud experience, and strong Arabic/English communication. You will travel to client sites, manage stakeholders, and drive adoption of AI-enabled CRM initiatives across

Qualifications

• 4+ years in strategic solutioning or delivery leadership for enterprise cloud/SaaS.
• Degree in Computer Science or a related field.
• Proven customer-facing delivery experience as a consultant or adviser.
• Strong understanding of Salesforce platform and Agentic AI capabilities.

Responsibilities

• Lead end-to-end customer engagements across the full value lifecycle.
• Define AI strategy and architecture; run design workshops and sessions.
• Oversee deployment timelines, risk, and stakeholder communications.
• Drive adoption, measurable value, and account expansion within engagements.
• Collaborate with engineering to align strategy with technical delivery.

Skills

Strategic solutioning

Delivery leadership

Customer-facing delivery

AI/LLM solution design

Project management

Salesforce knowledge

Arabic & English proficiency

Programming experience (Python/Java/JS

Travel readiness

Education

CS degree

Tools

Salesforce Data Cloud

Agentforce platform

Data Cloud familiarity

Job description

Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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
• A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments

Accommodations

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Posting Statement

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