Solutions Engineer, London

Firebolt Analytics, Inc.; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Firebolt Analytics, Inc. is seeking a Solution Engineer to bridge the gap between technical details and customer needs in the AI data infrastructure space. This role requires a blend of technical expertise and strong communication skills, as Solution Engineers lead evaluations, conduct presentations, and guide customers in leveraging Firebolt's Cloud Data Warehouse effectively. Candidates should possess a strong background in data warehousing and analytics, with at least 4 years in customer-facing roles, particularly in technology presales.

Qualifications

• 4+ years of experience in a technical customer-facing role.
• 2+ years of hands-on experience with database/data warehouse implementations in cloud environments.
• Fluent in SQL and strong communication skills.

Responsibilities

• Lead technical evaluations for customers and prospects.
• Conduct in-depth technical presentations and product demonstrations.
• Lead end-to-end proof of concepts (POCs) from requirements gathering to implementation.

Skills

Communication skills

SQL

Understanding of data and analytics

Technical presentations

ETL workflows

AI ecosystem knowledge

Education

Bachelors or Masters in computer science or affiliated engineering fields

Tools

BI tools

AWS

Job description

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 Solution 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 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, 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

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