Principal, Data Cloud Solution Engineer

$165,060 - $220,850/Yr

Salesforce - New York, NY

Full-time - Mid Level

New York, NY

Publishing Industries

About the position

The Sales Engineer (SE) position at Salesforce Data Cloud focuses on delivering customer success through innovative data solutions. This role combines technical expertise with executive-level presence to drive the adoption of Salesforce's flagship data platform, ensuring it integrates seamlessly with complex customer data architectures. The SE will collaborate with various teams to develop industry-specific use cases and advocate for customer needs, ultimately enhancing the overall customer experience and driving business outcomes.

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 differentiated business outcomes.
• Partner with Product Marketing to advise messaging and sales plays across all of 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) combined 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 and incentive compensation.
• Equity options and benefits.
• Inclusive benefits and employee resource groups.
• Equal pay initiatives.
• Comprehensive health insurance and wellness programs.