Specialist Solution Engineer – Analytics (Tableau)

Salesforce • Palo Alto, CA

1d • $173,000 - $230,000

About The Position

Salesforce is hiring an Analytics Specialist Solution Engineer (Tableau) to support Technology, Media & Telecom (TMT) Enterprise accounts. The role partners with Account Executives and Analytics sales teams to demonstrate how Tableau, Tableau Next, and CRM Analytics work with Agentforce and modern data platforms. The position is open to candidates in Washington and California, is based in the Pacific Time zone, and can be performed fully remotely or in a hybrid arrangement. Travel of up to 25% is expected for customer engagements and team events.

The successful candidate will be a hands-on builder and thought leader, turning customer ideas into working solutions and presenting technical concepts and business value to audiences ranging from data engineers to C-suite executives. The role advises customers on analytics and data architecture, builds prototypes and demos, and contributes to sales opportunities throughout their lifecycle. Salesforce describes its working approach as customer-focused, collaborative, flexible, and centered on sharing knowledge.

Requirements

• Bachelor of Science in Computer Science, Software Engineering, MIS, or Data Science, or equivalent experience. Salesforce evaluates relevant competencies that may include leadership, military service, volunteer work, and work history.
• Deep industry experience and 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 modern analytics platforms and tools such as Snowflake, Databricks, Google BigQuery, and dbt.
• Strong SQL and data modeling skills across structured and semi-structured data.
• A proven builder mindset and a track record of turning ideas into working solutions.
• Working knowledge of sales methodologies and how a technical role supports a deal cycle.
• Strong written, verbal, and presentation skills, with comfort communicating to technical, business, and executive audiences.
• Willingness to travel up to 25%.

Nice To Haves

• 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 such as Claude, Cursor, or ChatGPT as part of a demo toolkit.
• Familiarity with AI/ML fundamentals and how analytics platforms surface AI-driven insights, including Einstein, agentic AI, and predictive analytics.
• Basic scripting experience in Python, JavaScript, HTML, or similar.
• Salesforce and Tableau certifications.
• Experience with design thinking, persona-based discovery, or workshop facilitation.

Responsibilities

• Align solutions to the technology challenges of complex TMT Enterprise accounts and drive consensus across multi-product solutions, primarily focused on the Analytics portfolio.
• Advise customers on business development, strategy, and product demonstrations.
• Share perspectives on analytics, AI, and data trends in customer conversations, executive briefings, events, and internal enablement.
• Engage CXO-level stakeholders and connect technical solutions to business outcomes.
• Use discovery to define ambiguous business problems and recommend practical next steps.
• Build working demos, rapid prototypes, and proof-of-value solutions based on customer ideas.
• Apply knowledge of LLMs, including building agents on open and closed models.
• Build data models in Snowflake, Databricks, dbt, and other platforms.
• Understand token consumption and design architectures to manage it effectively.
• Advise on customer data and analytics architecture, including integrations between Tableau, Salesforce, cloud data platforms, and transformation tooling.
• Apply sales methodologies such as MEDDPICC, Challenger, and Value Selling to qualify opportunities, develop business cases, and advance deals with the account team.
• Tailor solutions and demonstrations to different personas, from data engineers to executives.
• Complete product, sales, and procedural training and certifications.

Benefits

• Time off programs
• Medical insurance
• Dental insurance
• Vision insurance
• Mental health support
• Paid parental leave
• Life insurance
• Disability insurance
• 401(k)
• Employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior