Description Principal Data & AI Architect, Global D360 (Data Cloud) The Global D360 Data & AI Architects team is an innovative group of sellers and GTM specialists at the heart of Salesforce's newest innovation
We are a startup within an extensive organization focused on next-generation technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success & Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation. Role Description The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process. Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them shape and prioritize the most valuable D360 use cases, provide technical architecture best practices, and cost estimations and consumption plans to drive product adoption and success. You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, architectural plans and fit, and technical thought leadership and POVs. You will also have a meaningful role in driving our Product Roadmap forward as well as serve as a key SME of one or more product pillars, while sharing back innovative ideas and feedback from customers. It is important to have a solid technical grasp of the CRM, Modern Data Stacks, Analytics & BI, CRM, AI (Generative and Predictive) and Agentic Enterprise landscape, and the ability to effectively communicate our offerings to potential clients both business and technical personas. Key Responsibilities Solve Business Problems
- Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions. Drive Innovation & Customer Adoption
- Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact. Connect the "Art of the Possible"
- Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360, Agentforce & Salesforce CRM. Cross Platform Collaboration
- You will use your understanding of customers' use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics & BI, CRM and AI, Agents) to develop solutions across the Salesforce's technology stack. Provide Technical Domain Expertise
- Answer in-depth D360 questions related to data governance, security, and other technical capabilities.
Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customers implement best practices with D360. Drive adoption through mastering sizing estimations and mapping to consumption use case plans, working with pre and post sales teams to drive realized usage and success. Acts as the "Voice of the Customer" through strategic alignment with the product organization, regularly capturing and championing customer feedback and translating field experiences into actionable product evolution. Key Requirements Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization Understanding & ability to articulate the relationship between Data, AI and Customer Relationship Management, aka the Customer360 Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment Experience with Data Warehouses, Data Lakes, Lakehouses, Agentic AI, Cloud (Hyperscalers) Technology, Business Intelligence and CRM products Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc Preferred Requirements Implementation or Sales Experience in Salesforce D360 and Agentforce Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc as well as Data Governance and MDM (ex. Informatica) Familiarity with data activation or "reverse ETL" platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
