Description
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
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