Specialist Solution Engineer – Analytics (Tableau)

Salesforce, Inc.; United States; Hybrid; USD 157,000 - 210,000; Full time

Job summary

Salesforce, Inc. is hiring an Analytics Specialist Solution Engineer (Tableau) to partner with Account Executives and analytics teams. You will show how Tableau, Tableau Next, and CRM Analytics integrate with the modern data stack to drive business value for enterprise accounts.

You will lead customer conversations, deliver compelling demos, and craft solutions that scale across data platforms like Snowflake, Databricks, and BigQuery, while traveling up to 25% as needed.

Qualifications

• Bachelor's degree in CS/SE/Data Science or equivalent experience.
• Demonstrated experience presenting to C-suite executives.
• Thought leadership in analytics or AI, via speaking, writing, or advising.
• Hands-on experience with Tableau, CRM Analytics, Tableau Next.
• Experience with Snowflake, Databricks, BigQuery, and dbt.
• Strong SQL and data modeling skills.

Responsibilities

• Align solutions to technology challenges of multi-product accounts in the Analytics portfolio.
• Act as trusted advisor on business development, strategy, and product demonstrations.
• Lead with thought leadership on analytics, AI, and data trends.
• Present to the C-suite: engage CXO-level stakeholders and connect technical solutions to business outcomes.
• Define ambiguous business problems through discovery and recommend practical next steps.
• Build working demos, rapid prototypes, and proofs-of-value solutions.
• Understand LLMs and building agents on open/closed models.
• Build data models hands-on in Snowflake, Databricks, dbt, and other platforms.
• Advise on data and analytics architecture, including Tableau and Salesforce integrations with cloud data platforms.
• Apply sales methodologies (MEDDPICC, Challenger, Value Selling) to qualify opportunities and advance deals.
• Tailor solutions for multiple personas, from data engineers to executives.
• Complete product, sales, and procedural training and certifications.

Skills

Executive communication

Thought leadership

Presentation skills

Team collaboration

Education

Bachelor's degree in CS/SE/Data Science

Tools

Tableau

CRM Analytics

Tableau Next

Snowflake

Databricks

Google BigQuery

dbt

SQL

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

About Salesforce

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Specialist Solution Engineer - Analytics (Tableau)

Location: This position is based in the Pacific Time zone and is open to candidates located in Washington and California. Fully remote and hybrid work arrangements are available.

Travel: Up to 25% travel for customer engagements and team events.

Overview

Join the Salesforce Solution Engineering team and help the world’s top technology companies turn data into decisions. Our Solution Engineers work with customers, Sales, Product, and Professional Services to drive the technical sale and help customers realize business value across the entire lifecycle.

What Role Are We Hiring For?

This Analytics Specialist Solution Engineer (Tableau) role supports our Technology, Media & Telecom (TMT) Enterprise accounts. You'll partner with Account Executives and Analytics sales teams to show how Tableau, Tableau Next, and CRM Analytics work with Agentforce and the modern data stack. TMT customers run on platforms like Snowflake, Databricks, dbt, Google BigQuery, and other cloud data platforms, so you'll meet them where their data already lives.

Responsibilities

• Align solutions to the technology challenges of complex TMT Enterprise accounts. Drive consensus across multi-product solutions, with a primary focus on the Analytics portfolio.
• Act as a trusted advisor on business development, strategy, and product demonstrations.
• Lead with thought leadership: share a point of view on analytics, AI, and data trends through customer conversations, executive briefings, events, and internal enablement.
• Present to the C-suite: confidently engage CXO-level stakeholders and connect technical solutions to business outcomes.
• Define ambiguous business problems through discovery, then recommend practical next steps.
• Build, don't just present: create working demos, rapid prototypes, and proof-of-value solutions that take a customer idea to a tangible outcome.
• Bring a deep understanding of LLMs, including building agents on both open and closed models.
• Build data models hands-on in Snowflake, Databricks, dbt, and other platforms.
• Understand token consumption and design architectures that manage it effectively.
• Advise on customer data and analytics architecture, including how Tableau and Salesforce integrate with cloud data platforms (Snowflake, Databricks, Google BigQuery) and transformation tooling (dbt).
• Apply sales methodologies (e.g., MEDDPICC, Challenger, Value Selling) to qualify opportunities, build business cases, and advance deals alongside the account team.
• Tailor solutions and demos for multiple personas, from data engineers to executives.
• Complete product, sales, and procedural training and certifications.

Required Qualifications

• B.S. in Computer Science, Software Engineering, MIS, Data Science, or equivalent experience. We evaluate experience on core competencies, including leadership, military service, volunteer work, and work history.
• Deep industry experience, with a track record of presenting to and influencing C-suite executives.
• Demonstrated thought leadership in analytics, data, or AI, such as speaking, publishing, or advising customers on strategy.
• Hands-on experience with Tableau, CRM Analytics, or Tableau Next. Familiarity with data visualization, dashboarding, and self-service analytics best practices.
• Hands-on expertise with modern cloud data warehouses and data lakes.
• Practical experience with the modern analytics stack, such as Snowflake, Databricks, Google BigQuery, and dbt.
• Strong SQL and data modeling skills across structured and semi-structured data.
• A proven builder mindset, with a track record of taking ideas to working solutions.
• Working knowledge of sales methodologies and how a technical role supports a deal cycle.
• Strong written, verbal, and presentation skills. You're comfortable with technical, business, and executive audiences.
• Willingness to travel up to 25%.

Preferred Qualifications

• Prior solution engineer, sales engineer, or consultant experience at a CRM, analytics, or BI company, or in a similar customer-facing technical role.
• Experience selling to or supporting technology, media, or telecom customers.
• Experience building with AI tools (Claude, Cursor, ChatGPT, etc.) as part of a demo toolkit.
• Familiarity with AI/ML fundamentals and how analytics platforms surface AI-driven insights (Einstein, agentic AI, predictive analytics).
• Basic scripting experience (Python, JavaScript, HTML, or similar).
• Salesforce and Tableau certifications.
• Experience with design thinking, persona-based discovery, or workshop facilitation.

How We Work

• Builder mentality: we show up with working demos and real solutions, not just slides.
• Customer obsession: we go deep on customer problems before prescribing solutions.
• Peer teaching: we share what we learn, internally, with customers, and at industry events.
• Flexibility: fully remote or hybrid, working Pacific Time hours.

Unleash Your Potential

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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

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’s 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, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $157,000 - $210,000 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $173,000 - $23,000 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.