Remote Otter LogoRemoteOtter

Product Engineer, EMEA - Remote

Posted Yesterday
Product
Full Time
Worldwide

Overview

Firebolt is seeking a Product Engineer who will bridge engineering and storytelling to enhance the understanding of their cloud data warehouse for data engineers and developers.

In Short

  • Work at the intersection of engineering and storytelling.
  • Help data engineers and developers understand Firebolt's unique offerings.
  • Craft high-quality content across various formats.
  • Collaborate with product, engineering, marketing, and customer-facing teams.
  • 5+ years in relevant engineering roles required.
  • Experience in building production-grade analytics systems.
  • Strong SQL skills and understanding of data infrastructure.
  • Excellent communication skills for technical topics.
  • Self-starter with project management abilities.
  • Curiosity about industry trends and user preferences.

Requirements

  • 5+ years in engineering, solutions engineering, or solution architect roles.
  • Proven experience in building production-grade analytics systems.
  • Strong understanding of modern data infrastructure.
  • Fluent in SQL and comfortable with performance optimization.
  • Excellent written and verbal communication skills.
  • Experience creating developer-facing content.
  • Self-starter with project management skills.
  • Collaborative team player.
  • Curious and connected to industry trends.

Benefits

  • Opportunity to work in a fast-paced startup environment.
  • Engagement with cutting-edge technology in AI and data.
  • Flexible work arrangements.
  • Collaboration with a strong engineering team.
  • Potential for career growth and development.
Firebolt logo

Firebolt

Firebolt is a cutting-edge Cloud Data Warehouse designed specifically for the demands of AI applications, offering ultra-low latency, high concurrency, and multi-dimensional elasticity. With over $270 million in funding and a strong engineering culture, Firebolt is at the forefront of transforming AI data infrastructure, enabling teams to develop data-intensive AI products that operate efficiently at scale.

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