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Salesforce - Chicago, IL

posted 3 months ago

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.
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