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ThoughtSpot

AI-powered analytics platform for data insights

Solutions Consultant

Pre-Sales Solution EngineeringUpdated on Nov 15
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Fluent written and verbal English and French.
  • Demonstrated success in a customer-facing technical role, ideally supporting enterprise sales across EMEA.
  • At least 2–3 years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, or an analytics role.
  • Proficiency in SQL; working knowledge of JavaScript or Python is preferred.
  • Solid understanding of data modeling, cloud data platforms, and business intelligence and analytics tools such as Snowflake, Redshift, BigQuery, Synapse, Tableau, Looker, or similar tools.
  • Ability to understand customer needs, solve technical and business challenges, and communicate value to technical, business, and executive audiences.
  • Presentation and demonstration skills, including the ability to explain the benefits of cloud and analytics technologies.
  • Experience using artificial intelligence and automation to improve technical discovery, demo personalization, evaluation workflows, and solution positioning.
  • Track record of driving measurable results through the creative application of artificial intelligence and data-driven insights in customer-facing technical engagements.
  • Ability to work independently in a fast-paced environment and adapt to changing conditions.
  • Ability to travel as needed.
  • Ability to integrate artificial intelligence into daily workflows to improve productivity and quality.
  • Hands-on experience using artificial intelligence tools, including large language models, to increase productivity, automate routine tasks, and improve work quality.
  • Ability to describe using artificial intelligence for research, content creation, and document summarization while retaining ownership of judgment and final decisions.
  • Ability to write effective prompts for artificial intelligence tools.
  • Curiosity about new artificial intelligence tools, adaptability in learning and implementing emerging artificial intelligence technologies, and critical thinking about when to use artificial intelligence versus human judgment.

Responsibilities

  • Understand customers’ analytics goals, technical environments, and business challenges through discovery across enterprise accounts in the EMEA region.
  • Present and articulate the business value of the company’s platform to technical, business, and executive stakeholders.
  • Demonstrate the product and differentiate it from competitors.
  • Define and conduct product evaluations with customers by analyzing their data and validating business value.
  • Partner with Sales to support account strategy, deal progression, and technical win plans across strategic EMEA opportunities.
  • Develop trusted-advisor relationships with customer champions and Account Executives, aligning activities with customer and company success.
  • Manage multiple customer engagements simultaneously while maintaining responsiveness, quality, and execution.
  • Share knowledge and contribute to best practices across the Solutions Engineering organization.
  • Use generative artificial intelligence and advanced automation to personalize customer engagements at scale, including demonstrations, technical presentations, evaluations, and solution recommendations.
  • Experiment with emerging tools such as conversational artificial intelligence, autonomous agents, predictive analytics, and artificial-intelligence-powered deal coaching, and share best practices.
  • Use artificial-intelligence-driven insights to tailor technical messaging to each prospect’s business challenges, industry context, architecture, and decision-making priorities.
  • Use artificial intelligence tools to analyze customer data, market trends, and competitive landscapes and develop differentiated technical value propositions for each account.
  • Refine and optimize demonstrations, evaluations, and technical messaging using artificial-intelligence-powered analytics and engagement insights.
  • Experiment with the company’s artificial intelligence tools and leading industry large language models to streamline workflows, enhance output, and uncover insights.

Desired Qualifications

  • Experience supporting enterprise organizations across EMEA and navigating diverse customer needs, industries, and market dynamics.
  • Working knowledge of JavaScript or Python.

About the Company

ThoughtSpot

AI-powered analytics platform for data insights

ThoughtSpot provides analytics and business intelligence tools that help people analyze data quickly. Its core product is an AI-powered analytics platform that lets users ask questions in plain language and get fast insights from large data sets. It also offers ThoughtSpot Embedded, which lets developers add analytics directly into their apps. The company uses a subscription-based model and offers services like training and support. ThoughtSpot differentiates itself with fast, AI-driven analytics that can turn large data collections (for example, Excel data spanning 45 days) into actionable insights in minutes, plus a strong community of users and developers that shares knowledge and skills. Its goal is to help organizations become data-fluent and make better decisions by making analytics easy to access and act on.

Company size
1,001-5,000
Company stage
Series F
Total funding
$643.7M
Headquarters
Mountain View, CA
Founded
2012

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