About the Role
The company is looking for Deployment Strategists who act as customer-facing advisors, defining AI strategy, shaping agentic solutions, and driving measurable adoption for enterprise customers. As part of a delivery team alongside Forward Deployed Engineers, you'll translate complex business challenges into agentic AI deployments that go live and generate real value. Your impact isn't just in getting to deployment, but rather in ensuring that 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. Act as 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 to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
- AI-Supported Development: Develop real customer solutions supported by leading-edge AI tools, including Cursor, Claude, and 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 maximize the benefits of intelligent agents.
- Product Feedback Loop: Synthesize field insights and translate them into actionable product feedback that influences the company's Agentic AI platform roadmap.
Required Qualifications
- 4+ years of 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 (consulting, professional services, or technical advisory) is a requirement.
- Demonstrated understanding of the company's 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 degree or related.
Preferred Experience
- Experience with the company's Data Cloud, Agentforce platform, and company's 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.
- A get-things-done mindset with a strong bias for action — comfortable operating in unstructured fast-moving environments.
Unleash Your Potential
When you join the company, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, while our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
