Solutions Engineer

About the role

We are looking for a Solutions Engineer with 3-5 years of experience to help our technical sales efforts. In this role, you will drive business value for prospects and existing customers by demonstrating how ThoughtSpot’s product and services can assist in achieving strategic business goals.

Responsibilities

• Understand customers’ analytic goals and challenges through successful discovery
• Confidently present and articulate the business value of our platform to all levels
• Demonstrate our product in a way that clearly differentiates us from the competition
• Define and conduct product evaluations with customers by working with them to analyze their own data
• Work as a team player by continually learning and sharing new knowledge
• Manage multiple customer engagements simultaneously
• Be self-motivated, flexible and take initiative
• Be a partner with sales in assisting with planning account strategy
• Develop a trusted advisor relationship with customer champions and ThoughtSpot Account Executives such that all activities are aligned with achieving customer and company success.

Requirements

• Demonstrated success as part of a sales team in a customer-facing role
• Intermediate level or greater proficiency in SQL
• Intermediate level or greater proficiency in JavaScript or Python preferred
• Intermediate level understanding of data modeling concepts and best practices
• Hands-on experience with common database technologies such as Snowflake, Amazon RedShift, Google BigQuery, Microsoft Synapse, SQL Server, Oracle, or other
• Experience with BI tools such as MicroStrategy, Tableau, Looker or similar
• Able to grasp customer needs and suggest timely solutions
• Strong verbal and written communication skills
• Superior presentation and demonstration skills for both technical and business audiences
• Broad understanding and ability to articulate the benefits of cloud computing
• The ability to work independently in an environment that changes rapidly
• Ambitious, innately curious and self-motivated with a high degree of sales and technical interest
• Highly coachable with a strong desire to improve and grow
• Strong initiative and positive attitude
• Strong analytical and problem-solving skills
• Able to travel as needed

Qualifications

• Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
• Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
• Write effective prompts to get the most accurate and creative results from AI tools.

Skills

• AI Literacy
• Workflow Integration

Benefits

• Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
• The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.
• At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.
• At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work.

Pay

The pay range for this role is: 150,000 - 198,000 USD per year (US - Chicago)

Schedule

Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.