Lead Specialist Solution Engineer

Salesforce · Remote, Mexico · remote Salesforce is seeking a Lead Specialist Solution Engineer to lead the technical sales cycle for Analytics on complex opportunities across LATAM. The successful candidate will be a recognized technical authority on Tableau's semantic layer and analytics interoperability, and a trusted advisor to business and technical stakeholders. Key Responsibilities: Lead discovery sessions and workshops with business users to define, build, and implement solution prototypes Design and demo semantic models that define metrics and business rules once, with governance, for reuse across the organization Build and present customized demos that prove business value, including analytics interoperability across Tableau Cloud, Server, Tableau Next, and CRM Analytics Position recent Tableau innovations and explain how they fit with the customer's existing data stack Articulate the business value of Tableau to managers and business leaders Deliver technical responses on RFPs/RFIs Support adjacent teams in positioning Tableau and Salesforce's analytics portfolio Handle multiple customer engagements at once across LATAM, prioritizing with the sales team Share customer feedback with the product GTM team and contribute to analytics thought leadership across LATAM Share best practices with peers through demos and knowledge sharing Requirements: 3+ years in technical pre-sales or consulting B.S. in Computer Science, Software Engineering, MIS or equivalent Hands-on experience in one or more of the following areas: data visualization/analytics, BI, semantic modeling, data quality, integration, databases, or analytics infrastructure Experience with Tableau, CRM Analytics, the Salesforce core platform, Data 360 / data integration, semantic modeling, and BI in a customer-facing role Excellent verbal and written communication, and the ability to present to diverse audiences English and Spanish required, Portuguese is a plus Nice to Have: Salesforce certifications (Tableau Consultant, CRM Analytics, Data Cloud) Experience with semantic layers or metrics layers Experience with generative and predictive AI applied to analytics Hands-on experience with modern cloud data platforms ETL tools experience Published thought leadership