Principal, Data Cloud Solution Engineer

$165,060 - $220,850/Yr

Salesforce - Chicago, IL

Full-time - Mid Level

Chicago, IL

Publishing Industries

About the position

The Sales Engineer (SE) for Salesforce Data Cloud plays a crucial role in delivering customer success by leveraging Data, AI, and CRM technologies. This position requires a unique blend of technical expertise and executive-level presence to drive the entire opportunity lifecycle, from technical discovery to closing. The SE will collaborate with various teams to develop industry-specific use cases and advocate for key features that enhance customer value, ensuring the successful integration of complex 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 across the customer base and the sales organization to prioritize and develop industry-specific use cases.
• 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 (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

• Competitive salary range of $165,060 to $220,850 based on location and experience.
• Incentive compensation and equity opportunities.
• Comprehensive benefits package including health insurance, retirement plans, and paid time off.