[Hiring] Specialist Solution Engineer – Analytics @Salesforce

Role Description

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.

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.

You’ll be a hands-on builder and a recognized thought leader who takes an idea from a whiteboard to a working solution, and can present it to the C-suite.

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.

Qualifications

• B.S. in Computer Science, Software Engineering, MIS, Data Science, or equivalent experience.
• 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.
• 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.

Benefits

• Time off programs.
• Medical, dental, vision, mental health support.
• Paid parental leave.
• Life and disability insurance.
• 401(k).
• Employee stock purchasing program.