NeuraFlash, Part of Accenture
Solution Engineer, Amazon Connect
Remote - Canada (Alberta, British Columbia, Ontario Only) · Vp
Sponsorship not specifiedDetected 27 days ago
AWSCloud PlatformsLLMsSalesforceCRMForecastingCommunicationCollaborationPublic Speaking
About the role
- Demonstrate Amazon, Salesforce, and NeuraFlash, Part of Accenture's products/assets to customers
- Be liaison between the sales and the technical team to improve efficiency in customer sales responses and product improvements
- Learn about Salesforce, Einstein, and our AI products and provide recommendations to customers and internal teams on leveraging Salesforce and AI to meet specific business needs
Responsibilities
- Help maintain and update lead management, pipeline & forecasting in Salesforce
Requirements
- 3 years experience selling CRM solutions/services - preferably within Amazon Connect
- 3 years in customer facing role, preference for Pre-Sales/Solution Engineering experience
- B.S. in Computer Science, Mathematics, Engineering, or similar technical degree or equivalent experience
Skills
- 3 years in a consulting role
- Expert understanding of contact center telephony solutions
- Solid understanding of the Salesforce Service cloud platform & architecture
- A keen interest in learning rapidly in the AI Space
- Strong customer facing skills
- Attention towards detail with great communication skills
- Team player
- Passion to succeed and drive the company forward
- 2 - 3 years in a consulting role
Company info
- Lead discovery sessions, presentations, and workshops with prospects and customers
- Create compelling demos and deliver to customers and prospects, showcasing the power of the Amazon and Salesforce platform and the value of NeuraFlash, Part of Accenture as a Consulting Partner
- Drive innovation in the areas of Amazon and Salesforce capabilities and AI in full partnership with NeuraFlash, Part of Accenture's Amazon Connect and AI teams
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This listing is sourced directly from NeuraFlash, Part of Accenture's careers page and normalized into a canonical job model.