Lead Specialist Solution Engineer, Data Cloud

Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Customer 360 Platform. Salesforce Data Cloud is passionate about next-generation technology at Salesforce and the flagship innovation and hyperscale data platform built natively into Salesforce.
We are crafting a dynamic, constantly evolving environment where expertise in design and technology is confirmed 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 sophisticated 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 shown 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.
• Experience in articulating Data & AI ROI value to Business & getting the IT agreement.
• Industry domain experience relevant to Data architecture approaches and knowledge in mapping business capabilities to technical capabilities.
• Aware of latest trends in industry including Lakehouses, data governance, LLMs, Agents.

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 dynamic client needs and objectives.
• Experience driving customer success in large, sophisticated 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: data wrangling, machine learning, Vector Databases & RAG, MLOps.
• Technical knowledge of the Salesforce platform.
• Experience in mapping industry demonstrated ability 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.