Salesforce data cloud solution engineer

Job Description

Job Description

Salesforce data cloud solution engineer lead with expert skills in data cloud, Einstein AI, marketing cloud and agentforce, total 3 positions,

JD . Salesforce Data Cloud Solution Lead JD . Qualifications :

Experience in customer-facing solutioning for Data, Analytics, AI and CRM

Full-stack technical qualifications (CRM, Data Architecture, AI / ML, Einstein AI, Tableau ) combined with experience owning technical relationships with initiatives Owner and shareholders

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 that inspire change in large organizations

Responsibilities

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!

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

• Job description

Delivering customer success with Data AI CRM Trust is the unique value proposition for Salesforce and the Customer 360 Platform.

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 lead 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 initiative owner and cross functional stakeholders 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 and CRM

Full-stack technical qualifications (CRM, Data Architecture, AI / ML) combined with experience owning technical relationships with stakeholders

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 that inspire change in large organizations

Hands-on expertise in modern cloud data platforms (Snowflake, Big Query, AWS, mongodb, redshift ), data analytics tools (Tableau, Einstein AI, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks)

AI : Python, data wrangling, machine learning

Technical knowledge of the Salesforce platform

Experience in agentforce and conversational AI is plus

Certification(s) Preferred one or more : Certified Salesforce Data Cloud, Marketing Cloud Engagement, Einstein Personalization, Marketing Cloud Intelligence

Location is NY / NJ

Hybrid / 3 Days a week at office