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Salesforce - San Francisco, CA
posted 3 months ago
About the position
The Principal, Data Cloud Solution Engineer at Salesforce is a pivotal role focused on delivering customer success through innovative data solutions. This position combines technical expertise with executive-level presence to drive the adoption of Salesforce Data Cloud, a flagship innovation within the company. The role involves collaborating with various teams to develop industry-specific use cases and ensuring that the Data Cloud integrates seamlessly with complex customer data architectures.
Responsibilities
- Arrange and conduct in-person & web-based meetings to drive the entire opportunity lifecycle from technical discovery to technical close.
- Collaborate strategically with Account Executives to prioritize and develop industry-specific use cases grounded in consistent architectures.
- Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud.
- Collaborate with Salesforce product teams to understand solutions and advocate for key features needed for success.
- Develop scalable, deployable, reusable, and relevant field enablement technical assets to drive business outcomes.
- Partner with Product Marketing to advise messaging and sales plays across Salesforce.
- Deliver the overall Salesforce point-of-view for data strategy aligned to industry-specific use cases.
Requirements
- Experience in customer-facing solutioning for Data, Analytics, AI, and CRM.
- Full-stack technical qualifications in CRM, Data Architecture, AI/ML with experience owning technical relationships with C-Level executives.
- Experience integrating complex data architectures to drive business value for customers.
- Skilled at guiding impactful discovery conversations to unveil multifaceted client needs and objectives.
- Experience driving customer success in large, complex selling organizations.
- Persuasive verbal, written, presentation, and interpersonal communication skills.
Nice-to-haves
- Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift).
- Experience with data analytics tools (Tableau, Looker, Power BI).
- Knowledge of data programming models (DataFrames, pandas) and AI (Python, R, Jupyter Notebooks).
- Technical knowledge of the Salesforce platform.
Benefits
- Flexible work environment
- Career growth opportunities
- Innovative and dynamic work culture
