Solution Engineer

Location: Greater London

## Solution Engineer Apply remote type:
Hybrid locations:
UK - London time type:
Full time posted on:
Posted Todayjob requisition :
JR2231
**** Solutions Engineer
******** The Role
** We are looking for a Solutions Engineer to support our technical sales efforts across the EMEA region. In this role, you will drive business value for prospects and existing customers by demonstrating how Thought Spot’s products and services can help achieve strategic business goals. You will serve as a trusted technical advisor throughout the sales process, partnering closely with Account Executives and customer stakeholders to solve complex data and analytics challenges.
**** The ideal candidate will have a demonstrated history of success with technical solutions in the enterprise market, preferably in the Business Intelligence, Data Warehousing, Data Engineering, Analytics, or AI/ML space. The successful candidate will have a strong understanding of how technology can solve business challenges, possess a consultative approach, and value teamwork while being able to operate independently in a rapidly growing and changing environment.

Experience supporting enterprise organist ions across EMEA and navigating a diverse set of customer needs, industries, and market dynamics is highly valued.
*****
* What You’ll Do:

****
* ** Understand customers’ analytics goals, technical environments, and business challenges through successful discovery across enterprise accounts in the EMEA region**
* ** Confidently present and articulate the business value of our platform to technical, business, and executive stakeholders**
* ** Demonstrate our product in a way that clearly differentiates Thought Spot from the competition**
* ** Define and conduct product evaluations with customers by working with them to analyze their own data and validate business value**
* ** Partner closely with Sales to support account strategy, deal progression, and technical win plans across strategic EMEA opportunities**
* ** Develop trusted advisor relationships with customer champions and Thought Spot Account Executives such that all activities are aligned with achieving customer and company success**
* ** Manage multiple customer engagements simultaneously while maintaining a high bar for responsiveness, quality, and execution**
* ** Work as a team player by continually learning, sharing knowledge, and contributing to best practices across the Solutions Engineering organization**
* ** Be self-motivated, flexible, and proactive in a fast-paced and evolving environment**
* ** Leverage generative AI and advanced automation to personalize customer engagements at scale, using real-time data to dynamically tailor demos, technical presentations, evaluations, and solution recommendations**
* ** Continuously experiment with emerging tools (e.g., conversational AI, autonomous agents, predictive analytics, and AI-powered deal coaching) and share best practices across the organization**
* ** Harness AI-driven insights to craft highly personalized technical messaging that resonates with each prospect’s unique business challenges, industry context, architecture, and decision-making priorities**
* ** Utilize advanced AI tools to analyze customer data, market trends, and competitive landscapes, enabling the rapid development of differentiated technical value propositions tailored for each account**
* ** Continuously refine and optimize demonstrations, evaluations, and technical messaging by leveraging AI-powered analytics and engagement insights, ensuring customer interactions are data-informed and outcome-focused
*****
* What You Bring:

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* ** Strong verbal and written communication skills in English and French**
* ** Demonstrated success in a customer-facing technical role, ideally supporting enterprise sales across EMEA**
* ** 2-3+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, or an analytics role.**
* ** Proficiency in SQL, with working knowledge of JavaScript or Python preferred**
* ** Solid understanding of data modeling, cloud data platforms, and BI/analytics tools such as Snowflake, Redshift, Big Query, Synapse, Tableau, Looker, or similar**
* **…