Solutions Engineer – AI-Driven Analytics for EMEA

Cerebras; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Cerebras is looking for a Solutions Engineer to enhance technical sales across the EMEA region. The role involves driving business value through demonstrating product benefits and solving complex data challenges. Ideal candidates have experience in the enterprise market, particularly in BI, Analytics, or AI/ML, and must possess strong communication abilities in English and French.

Applicants will manage multiple engagements while delivering high-quality demos, utilizing advanced AI tools to personalize interactions and insights for each client. A background in technologies like SQL and familiar BI tools such as Snowflake and Tableau is highly desirable.

Qualifications

• 2-3+ years of experience in a customer-facing technical role.
• Demonstrated success supporting enterprise sales across EMEA.
• Track record of driving measurable results through data-driven insights.

Responsibilities

• Understand customers' analytics goals and business challenges.
• Confidently present business value to stakeholders.
• Develop trusted advisor relationships with customers.

Skills

Strong verbal and written communication skills in English and French

Proficiency in SQL

Experience in Solutions Engineering/Sales Engineering

Solid understanding of data modeling

Ability to understand customer needs

Experience using AI and automation

Tools

Snowflake

Tableau

Python

Job description

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 ThoughtSpot’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 organistions 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 ThoughtSpot 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 ThoughtSpot 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

• 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, BigQuery, Synapse, Tableau, Looker, or similar
• Strong ability to understand customer needs, solve technical and business challenges, and clearly communicate value to technical, business, and executive audiences
• Superior presentation and demonstration skills, with the ability to articulate the benefits of cloud and analytics technologies
• Experience using AI and automation to improve technical discovery, demo personalization, evaluation workflows, and solution positioning
• Track record of driving measurable results through the creative application of AI and data-driven insights in customer-facing technical engagements
• Highly motivated, coachable, analytical, and adaptable, with the ability to thrive independently in a fast-paced environment
• Able to travel as needed
  
  

Mandatory And Required Skills For All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

• Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
• 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.
  
  

Spotters are expected to exemplify these key traits and AI Mindset:

• Curiosity in exploring new AI tools
• Adaptability to quickly learn and implement new, emerging AI technologies
• Critical thinking to know when to identify when AI should be used versus when human judgement is necessary
  
  

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

Hybrid Work at ThoughtSpot

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.

ThoughtSpot for All

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. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

About ThoughtSpot

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.