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Sales Solution Engineer – Data, AI, Revenue
Pierce Washington. Lead the technology evaluation stage for data-driven and AI-powered Salesforce solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering data-centric and AI-driven solutions on Salesforce platforms, with a strong focus on customer engagement and satisfaction throughout the sales process. Proficient in designing tailored data solutions and conducting technical workshops to meet client needs.
Highest-signal resume keywords
Sales Engineering ExperienceData Management ExpertiseAI Application KnowledgeSalesforce Data Cloud ProficiencyTechnical Presentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Architecture DesignData IngestionReal-Time AnalyticsAI-Powered Use CasesTechnical WorkshopsProofs of ConceptCustomized DemosSalesforce Platforms
Soft Skills
Strong Communication SkillsRelationship-BuildingCustomer-Focused ApproachCollaborative TeamworkAutonomous Work Style
Tools & Technologies
Salesforce Data CloudAgentforceAI ToolsEnterprise Applications
Industry Keywords
Data-Driven SolutionsCustomer EngagementSales CycleTechnical Guidance
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead the technology evaluation stage for data-driven and AI-powered Salesforce solutions
- Collaborate with sales on customer-focused meetings, demonstrations, and proofs of concept
- Design tailored data solutions and create new Agentforce use cases
- Develop and deliver demonstrations of Salesforce Data Cloud, Agentforce, and other AI tools integrated with enterprise applications
- Design and prototype AI-powered use cases to improve customer engagement and service efficiency
- Provide pre-sales technical guidance on data architectures, data ingestion, integration, and real-time analytics
- Serve as a technical advisor to customers and partners
- Conduct proofs of concept and technical workshops
- Collaborate with sales and marketing to develop targeted packages and revenue strategies
- Work with executives, developers, and client stakeholders to understand needs and deliver innovative solutions
- Identify technical issues and ensure customer satisfaction through all stages of the sales process
Requirements
What you’ll need- Previous Sales Engineering experience
- Proven experience in architecting and delivering data-centric and AI-driven technical presentations, workshops, customized demos, and proof of concepts on Salesforce platforms
- Deep understanding of data management and data architecture design
- Practical application of AI within Salesforce Data Cloud and Agentforce, or similar tools
- General knowledge of common AI applications and use cases
- Strong communication and relationship-building skills with a customer-focused approach
- Ability to articulate how technical capabilities map to client needs
- Ability to work autonomously and collaboratively with cross-functional teams, including sales, engineering, and client stakeholders
- Ability to identify technical issues of assigned accounts throughout the sales process
- Ability to establish and maintain strong relationships throughout the sales cycle
Benefits
Comp & perks- Competitive compensation package
- Health, vision, dental, life & disability insurance
- Flexible, collaborative work environment with a commitment to work life balance
- Work anywhere, with full remote and hybrid options depending on location
- Learn and challenge yourself in a fast-paced, growing tech company
- Personal growth and development
- Work/life balance
- Culture of collaboration and teamwork