About the Role
Salesforce is seeking a Data & AI Architect to join its D360 (Data Cloud) specialist team in Riyadh, Saudi Arabia. This role is part of an internal initiative focused on developing next-generation technology within the company. The architect will be instrumental in creating and implementing strategies that utilize Data, AI, CRM, and Trust to enhance customer experiences for clients across various industries. Collaboration with Account Executives, Solutions Engineering, Product, and Product Marketing teams will be essential, providing deep technical domain expertise throughout pre- and post-sale cycles. Success will be measured by the value customers derive from the platform, ensuring D360's suitability, prioritizing use cases, and guiding product adoption through technical architecture best practices.
This position is key to the Go-To-Market strategy, connecting the D360 Product team, Product Marketing, Enablement, Customer Success & Support, and the Partner Ecosystem to foster growth. The role involves contributing to use case development, demos, sales plays, and technical thought leadership. Influencing the Product Roadmap through the sharing of innovative ideas and customer feedback with the Product organization is also a core function. A strong technical understanding of CRM, the Modern Data Stack, Analytics & BI, and AI (Generative and Predictive) is required for effectively communicating Salesforce offerings.
Key Responsibilities
- Analyze complex business problems through research and assessments to define issues, generate ideas, identify opportunities, and recommend actionable solutions.
- Drive innovation and customer adoption by structuring client decision-making processes, communicating and evaluating solution options, and facilitating stakeholder agreement to prioritize high-value solutions and business impact.
- Support Solutions Engineers in delivering software demonstrations, rapid prototyping, and storytelling to illustrate connected experiences with Salesforce D360 and Salesforce CRM.
- Develop solutions across the Salesforce technology stack by leveraging understanding of customer use cases across industries and multiple technology landscapes, including CRM, Modern Data Stack, Analytics & BI, and AI.
- Provide deep technical domain expertise on D360, addressing in-depth questions related to data governance, security, and other technical capabilities.
- Create architectural diagrams, write technical thought-leadership content (blogs, whitepapers), and develop documentation and enablement materials to support industry trends and customer implementation of D360 best practices.
Qualifications and Requirements
- Experience in solutions engineering, solutions architecture, or technical consulting, preferably within the B2B SaaS space, with a focus on cloud data platforms.
- Strong verbal and presentation abilities, with the capacity to effectively communicate ideas to clients and prospective clients at all organizational levels.
- A clear understanding and ability to articulate the relationship between Data and Customer Relationship Management (Customer360).
- Demonstrable ability to guide clients towards alternative solutions when initial proposals are not a suitable fit, supported by examples.
- Demonstrable experience leading strategy and digital roadmap projects within complex business environments.
- Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence, and CRM products.
- Proficiency in programming languages such as Javascript, Python, and SQL, or experience with Salesforce App Development using LWCs, Apex, and Flow.
- Fluency in both Arabic and English.
Technical Skills and Expertise
- Solutions Engineering, Solutions Architecture, Technical Consulting, B2B SaaS, Cloud Data Platforms.
- Data and Customer Relationship Management, Strategy and Digital Roadmap Projects.
- Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence, CRM Products.
- Programming Languages: Javascript, Python, SQL.
- Salesforce App Development: LWCs, Apex, Flow.
- Familiarity with Salesforce D360, Agentforce, Sales Cloud, Service Cloud, Marketing Cloud, and Industry Clouds.
- Experience with large-scale database and data warehousing technologies (*, Snowflake, Databricks).
- Knowledge of ETL processes, Analytics, Cloud technologies, Data Engineering, and Data Science.
- Understanding of AI/ML solutions (*, Einstein, Sagemaker, Vertex) and Generative AI.
- Data solutions on cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
- Experience with Analytics tools (*, Tableau, PowerBI, Looker).
- Familiarity with data activation or "reverse ETL" platforms, Composable Data Platforms (CDP), and marketing technologies integration.
Work Environment and Location
This is a full-time position based in Riyadh, Saudi Arabia. Salesforce utilizes AI tools to assist in resume assessment, with final hiring decisions made by human recruiters. Experience will be evaluated based on alignment to core competencies, which may include extracurricular leadership roles, military experience, and volunteer work.