Principal, Data Cloud Solution Engineer

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Department Description

Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform. Salesforce Data Cloud is a startup within Salesforce focused on next-generation technology at Salesforce, and the flagship innovation and hyperscale data platform built natively into Salesforce. We are creating a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation. As an SE in Salesforce Data Cloud you will bring a unique combination of executive-level presence combined with full-stack technical skills that ensure Data Cloud delivers value to customers integrated with complex customer data architectures!

Key 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 grounded in consistent architectures that have proven repeatability with customers

• Implement programs to efficiently scale technical evaluation of Salesforce Data Cloud

• Collaborate with Salesforce product teams to deeply understand Salesforce solutions and roadmap, and advocate for key features needed for success across the Industry/Territory via Voice of the Customer feedback

• Develop scalable, deployable, reusable, and relevant field enablement technical assets that drive differentiated business outcomes in order to accelerate adoption across customers, partners, and sales teams

• 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

Essential Requirements

• Experience in customer-facing solutioning for Data, Analytics, AI (ML & RAG) and CRM

• Full-stack technical qualifications (CRM, Data Architecture, AI/ML) combined with experience owning technical relationships with C-Level executives

• Understanding of latest trends in industry including Lakehouses, Data Governance, LLMs, Agents

• Experience integrating complex data architectures to drive business value for customers

• Experience in 1 or more Hyperscale Data providers (e.g. AWS, Azure, GCP)

• 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 that inspire change in large organisations

Preferred Requirements

• Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks)

• AI: Python/R, data wrangling, machine learning, Vector Databases & RAG, MLOps

• Technical knowledge of the Salesforce platform

• Experience in mapping industry domain experience to Data architecture approaches and mapping technical capabilities to business capabilities

• Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)

• Understanding market trends in consumption selling business and experience in driving consumption through value use cases.

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