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Job Category

Sales

Job Details

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.

Data Cloud Solution Engineering Leader

The Opportunity

Delivering customer success with Data + AI + CRM + Trust is the unique value proposition for Salesforce and the Agentforce Platform. The Solution Engineering Leader will be responsible for building and leading a best-in-class team of deep subject matter experts in Data Cloud, the flagship innovation and hyperscale data platform built natively into Salesforce. The team’s skill set will be 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, laying the foundation for AI-powered experiences and Agentforce. This leader will report to the Global VP Solution Engineering, Data Cloud and will drive execution excellence in support of sellers and leadership across the territory.

Your Impact

• Build a best-in-class team with purpose admired for deep subject matter expertise in Data, AI, Salesforce, and integration architectures.

• Team with sales leadership to build a territory plan to align strategically to top customer accounts and opportunities across the industry/territory.

• Own technical executive sponsorship with C-Level executives to cultivate relationships and provide thought leadership.

• Develop programs to efficiently scale technical evaluation of Salesforce Data Cloud across the Industry/Territory.

• Create strong alignment with Salesforce product teams to deeply understand Data Cloud solutions and roadmap, and advocate for key features needed for success across the Industry/Territory.

• Collaborate strategically with leaders 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.

• 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.

• Own the overall Salesforce point-of-view for data strategy aligned to industry-specific use cases.

• Drive best-practice operational excellence and accountability metrics that drive ACV growth and customer success.

Qualifications

You have demonstrated consistently increasing levels of responsibility and spheres of influence that include:

• 10+ years of experience leading Solution Engineering teams in Data, Analytics, AI and CRM.

• BS degree in a quantitative field (e.g. Computer Science, Engineering, Data Science); An advanced degree (MS, PhD) preferred

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

• Experience building a deeply skilled, diverse Solution Engineering team to capture share in a rapidly evolving market.

• Experience driving and scaling success in large, complex selling organizations.

• Consistent recognition/awards for sales and customer success leadership and achievement.

• Knowledge of industry-specific use cases, data architectures, and integration patterns.

• Gifted storyteller able to engage diverse audiences from C-level executives to data architects.

• Persuasive verbal, written, presentation and interpersonal communication skills that influence change in large organizations.

Technical Skill Set

As the Solution Engineering Leader, you will set the example for the team in technical proficiency, including:

• Data Architecture & Tools: cloud-based data platforms, SQL, data pipelines, ETL, data transformation, data modeling, integration patterns

• AI: Python/R, data wrangling, machine learning

• Salesforce Smart: Salesforce Admin-level certification(s), hands-on experience with Salesforce Cloud(s)

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $205,940 to $275,450.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.