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Salesforce Analytics Solution Engineering is seeking a seasoned professional to join our team in supporting Commercial AMER and Canada. The role focuses on turning data into actionable analytics and compelling demonstrations of Salesforce Analytics solutions, including Tableau, to C-suite and data analysts.
The ideal candidate balances technical depth with sales strategy, demonstrates strong storytelling, and thrives in a fast-paced environment.
Commercial Business Unit: Mid Commercial (201 - 1000 employees)
Sales
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
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. 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.
Applications for this position will be accepted on an ongoing basis.
Our Sales Organization is made up of the business segments below. Within these business segments, the teams sell across multiple verticals. There are also teams that sell specifically into one industry or vertical. Verticals include: Financial Services, Healthcare & Life Sciences, Manufacturing, Retail & Consumer Goods, Communications Media & Technology, Consumer Business Services, Public Sector and others.
Mid Commercial (201 - 1000 employees)
General Commercial (1001 - 4500 employees)
Are you passionate about data and technology, but also care deeply about doing something meaningful? Come join the Salesforce Analytics Solution Engineering team, supporting our Commercial business across AMER (Financial Services) and Canada (all industries). Through collaboration with the customer, Sales, Product, and Professional Services, our Solutions Engineers (SEs) engage across the entire customer lifecycle and drive the technical sale of Analytics and Tableau solutions that turn data into action and help customers connect with their own customers in new ways. This is a role for someone naturally curious, adaptable, and passionate about AI and our agentic future. The ideal candidate balances technical depth with sales strategy and is comfortable presenting to a data analyst and a C-suite executive. If you enjoy a fast-paced environment full of exciting challenges and opportunities to build compelling solutions, the Analytics Solution Engineering team is for you — a dynamic, constantly evolving world where design, business consulting, and technology expertise drive innovation every day.
The Salesforce Analytics platform is a key innovation driver in the Agentic world, and is as much a philosophy as it is an amazing suite of tools, including Tableau and CRM Analytics. We enable people to transform data into something visual and understandable, empowering them to make important decisions based on those insights. Our products are key in helping organizations with data to see, understand, and act on data. Our core values—trust, customer success, innovation, equality, and sustainability—guide all our actions as a company and as individuals.
The ideal Analytics Solution Engineer candidate is a challenger, naturally curious, and has a strong desire to demonstrate their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and successfully demonstrate the Salesforce Analytics solutions that address these requirements and provide business value through compelling storytelling.
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that is inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills