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Salesforce.com in Riyadh is seeking Deployment Strategists who will own end-to-end customer engagements across the value lifecycle, defining AI strategy and architecting solutions with Data Cloud and Agentic AI capabilities.
You will lead workshops, coordinate with Forward Deployed Engineers, manage timelines, and drive measurable adoption while communicating business value to senior stakeholders in Arabic and English.
To get the best candidate experience please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts 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 Salesforce 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 realise lasting scalable value from the solutions your team builds
When you join Salesforce you ll be limitless in all areas of your life Our benefits and resources support you to find balance and be your best and 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
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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment What does that mean exactly It means that at Salesforce we believe in equality for all nbsp 4+ years experience in strategic solutioning, technical advisory, or delivery leadership 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/ML 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.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