About the Job
The company 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. Your impact isn't just getting to deployment; it ensures customers realize lasting, scalable value from the solutions your team builds.
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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 the company'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.
- Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and presenting 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 maximize the benefits of intelligent agents.
Required Qualifications
- 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or 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) - this is a requirement, not a nice-to-have.
- Demonstrated understanding of the company's platform and ecosystem, including Agentic AI capabilities and Data Cloud.
- Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes.
- Strong project and program 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.
Preferred Experience
- Experience with the company's Data Cloud, Agentforce platform, and CRM (Sales, Service, Marketing).
- Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare).
- Company 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, organizational design, or enterprise transformation.
- Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks.
