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For Companies At a Glance
- Tasks: Lead technical evaluations and presentations for customers, guiding them on Firebolt's Cloud Data Warehouse.
- Company: Firebolt is revolutionising AI data infrastructure with cutting-edge technology and significant funding.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning in the AI space.
- Why this job: Join a passionate team making an impact in AI while developing your technical and communication skills.
- Qualifications: Bachelor's or Master's in computer science, 4+ years in a technical customer-facing role, fluent in SQL.
- Other info: Be part of a strong engineering team driving innovation in data warehousing and analytics.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
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 revolutionize the AI data infrastructure space and help businesses unlock the full potential of their data.
About the team
The Firebolt Field Engineering team is the technical force behind our GTM organization, 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 Field 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, preferability 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
Contact Detail:
Firebolt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Familiarise yourself with Firebolt's Cloud Data Warehouse technology. Understanding its unique features and capabilities will allow you to engage more effectively with both technical and business stakeholders during interviews.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your knowledge in practical scenarios. Since the role involves SQL coding and debugging, showcasing your proficiency can set you apart from other candidates.
✨Tip Number 3
Research the latest trends in data warehousing, analytics, and AI. Being able to discuss current industry developments will show your passion for the field and your commitment to staying informed.
✨Tip Number 4
Prepare to discuss your experience in leading proof of concept initiatives. Highlight specific examples where you've successfully guided customers through technical evaluations, as this is a key aspect of the Solutions Engineer role.
We think you need these skills to ace Solutions Engineer
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 communication skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Firebolt and the role of Solutions Engineer. Discuss how your background aligns with their needs, particularly your understanding of data warehousing concepts and experience with AI tools.
Showcase Technical Skills: Be specific about your technical skills in SQL, ETL workflows, and BI tools. Provide examples of how you've successfully led technical evaluations or proof of concept initiatives in previous roles.
Research Firebolt: Familiarise yourself with Firebolt's Cloud Data Warehouse technology and its applications in AI. Understanding their product will help you articulate its value to potential customers and demonstrate your genuine interest in the company.
How to prepare for a job interview at Firebolt
✨Showcase Your Technical Expertise
As a Solutions 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 successfully led technical evaluations or proof of concept initiatives.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you'll be engaging with both technical and business stakeholders. Consider preparing a few examples of how you've successfully conveyed technical information to non-technical audiences.
✨Understand Firebolt's Value Proposition
Familiarise yourself with Firebolt's Cloud Data Warehouse capabilities and how they empower businesses to leverage AI applications. Be ready to discuss how you can help customers identify use cases and overcome potential obstacles, showcasing your understanding of the company's offerings.
✨Stay Informed About Industry Trends
The data and analytics space is constantly evolving. Make sure you're up-to-date with the latest trends in data warehousing, AI, and related technologies. This knowledge will not only impress your interviewers but also demonstrate your commitment to contributing to Firebolt's technical strategy and product roadmap.
