Solution Engineer, London
Solution Engineer, London

Solution Engineer, London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead technical evaluations and engage with customers to showcase Firebolt's Cloud Data Warehouse.
  • Company: Firebolt is revolutionising AI data infrastructure with cutting-edge technology and strong funding.
  • Benefits: Enjoy a dynamic work environment, opportunities for growth, and the chance to impact AI applications.
  • Why this job: Join a passionate team driving innovation in data warehousing and AI, making a real difference.
  • Qualifications: Bachelor's or Master's in computer science, 4+ years in a technical customer-facing role, SQL proficiency.
  • Other info: Stay ahead in the industry by contributing to Firebolt's technical strategy and product roadmap.

The predicted salary is between 43200 - 72000 £ per year.

About Firebolt

Firebolt is the Cloud Data Warehouse designed to handle the speed, scale, and flexibility of AI applications. By delivering ultra-low latency, high concurrency, multi-dimensional elasticity, and flexibility, Firebolt empowers organizations to build data-intensive AI applications that perform at scale. With over $270m in funding to date, a strong engineering team and highly experienced leadership, Firebolt is well positioned to revolutionise the AI data infrastructure space and help businesses unlock the full potential of their data.

About the team

The Firebolt Solution Engineering team is the technical force behind our GTM organisation, ensuring business growth and customer success. By bridging the gap between the technical details of our Cloud Data Warehouse technology and our customers' business goals, this team of technical experts plays a vital role in our company's success.

About the role

Our Solution Engineers at Firebolt blend technical expertise and strong communication to lead the technical evaluation process for customers and prospects. They engage with both technical and business stakeholders to convey Firebolt's value, identify use cases, guide on product best practices, and lead proof of concept initiatives. They also play a crucial role in understanding and articulating our AI strategy. This role requires an experienced data professional with extensive customer-facing experience to ensure customers and prospects can quickly and easily leverage Firebolt's potential.

About the day to day

  • Collaborate closely with your sales partners to achieve technical win
  • Conduct in-depth technical presentations and product demonstrations of Firebolt's state-of-the-art Cloud Data Warehouse capabilities to both technical and business stakeholders
  • Conduct technical discovery to determine product suitability and proactively identify any potential obstacles
  • Lead end-to-end POCs (from requirements gathering to implementation) with potential customers, advising them on product best practices and optimal implementation strategies
  • Become a Firebolt expert while continuously staying informed about industry trends in data warehousing, data analytics, AI, and the broader ecosystem.
  • Contribute to Firebolt's technical strategy and product roadmap based on customer feedback and market insights

Requirements

  • Bachelors or Masters in computer science or affiliated engineering fields from a premier institute
  • 4+ years of experience in a technical customer-facing role, preferably presales for a technology company (e.g. sales engineer, solutions engineer, solutions architect, etc)
  • 2+ years of hands-on experience with database/data warehouse implementations in cloud environments
  • Great communication skills and the ability to transfer knowledge effectively to prospects/customers
  • Ability to work with business and technical audiences and lead business requirement meetings, technical white boarding exercises, and SQL coding/debugging sessions
  • Deep understanding of data and analytics space
  • Deep understanding of data warehousing concepts
  • Fluent in SQL
  • Experience with analytic use cases, ETL workflows, and BI tools
  • Working understanding of the AI ecosystem and experience leveraging AI tools in a professional setting
  • Working understanding of the AWS ecosystem

Solution Engineer, London employer: Firebolt

Firebolt is an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and encourage our team to stay ahead of industry trends in data warehousing and AI. Our inclusive culture, combined with competitive benefits and the chance to work with cutting-edge technology, makes Firebolt a rewarding place to advance your career while contributing to the future of data infrastructure.
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Contact Detail:

Firebolt Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Solution Engineer, London

✨Tip Number 1

Familiarise yourself with Firebolt's Cloud Data Warehouse technology. Understanding its unique features and capabilities will allow you to engage confidently with both technical and business stakeholders during interviews.

✨Tip Number 2

Brush up on your SQL skills and be prepared to discuss your experience with database implementations in cloud environments. Being able to demonstrate your hands-on experience will set you apart from other candidates.

✨Tip Number 3

Research the latest trends in data warehousing, analytics, and AI. Showing that you are knowledgeable about industry developments will highlight your commitment to staying informed and relevant in the field.

✨Tip Number 4

Prepare to discuss your previous customer-facing experiences, particularly in presales roles. Be ready to share specific examples of how you've successfully led technical evaluations or proof of concept initiatives.

We think you need these skills to ace Solution Engineer, London

Technical Presentation Skills
Customer Engagement
SQL Proficiency
Data Warehousing Concepts
Cloud Environment Experience
Analytic Use Case Development
ETL Workflow Knowledge
Business Requirement Analysis
Technical Whiteboarding
Problem-Solving Skills
Communication Skills
AI Ecosystem Understanding
AWS Ecosystem Familiarity
Proof of Concept Leadership
Stakeholder Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in technical customer-facing roles, particularly in presales or solutions engineering. Emphasise your hands-on experience with database and data warehouse implementations, as well as your familiarity with SQL and cloud environments.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data warehousing. Discuss how your background aligns with Firebolt's mission and the specific requirements of the Solution Engineer role. Use examples to demonstrate your communication skills and ability to engage with both technical and business stakeholders.

Showcase Relevant Projects: If you have worked on projects involving data analytics, ETL workflows, or BI tools, be sure to include these in your application. Highlight any experience leading proof of concept initiatives or conducting technical presentations, as these are key aspects of the role.

Research Firebolt: Familiarise yourself with Firebolt's Cloud Data Warehouse technology and its applications in AI. Understanding their product offerings and recent developments will help you articulate how you can contribute to their success during the application process.

How to prepare for a job interview at Firebolt

✨Showcase Your Technical Expertise

As a Solution Engineer, you'll need to demonstrate your technical knowledge. Be prepared to discuss your experience with database and data warehouse implementations, especially in cloud environments. Highlight specific projects where you've successfully applied your skills.

✨Communicate Effectively

Strong communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms. During the interview, focus on how you can convey Firebolt's value to both technical and business stakeholders.

✨Prepare for Technical Presentations

Expect to conduct technical presentations during the interview process. Prepare a mock presentation of Firebolt's Cloud Data Warehouse capabilities, focusing on its benefits and use cases. This will showcase your ability to engage with potential customers.

✨Understand the AI Ecosystem

Since the role involves understanding AI strategies, brush up on your knowledge of the AI ecosystem. Be ready to discuss how you've leveraged AI tools in previous roles and how they can be integrated into data warehousing solutions.

Solution Engineer, London
Firebolt
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  • Solution Engineer, London

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-04-21

  • F

    Firebolt

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