Full-Stack Engineer

About Front

Front is the modern customer service platform that helps companies delight their customers, engage their teams, and build stronger businesses. We’ve reimagined the help desk for real-time team collaboration across every customer communication channel, then powered it up with AI and automation to resolve issues and help teams work faster. Customers get exceptional service whether they’re looking for a simple, instant answer, or personalized help on their most complex issues — and you get the analytics and insights your business needs to optimize your customer experience. Over 8,500 businesses of all shapes and sizes, from ClickUp to Branch Insurance, Echo Global Logistics to Reed & Mackay rely on Front to deliver game-changing service that wins and retains customers for life.

At Front, our search stack powers intelligent features and algorithms that help surface the most relevant results to users all across the product, improving product navigation, usability and delightfulness. We’re looking for talented, self-motivated engineers with a background and interest in search to join Front's core search team based in Paris. With work on the team ranging from conversation search to contacts autocomplete and spans the Front web, desktop, and mobile apps, we've only begun to scratch the surface of what we hope to see evolve into a unique, universal search experience that underpins the customer communication hub of the future.

What will you be doing?

• Bring your search expertise to the team to transform our ideas into features, and improve the search experience for thousands of customers
• Have an impact on all the searchable resources at Front and beyond and become a solid contributor to the organization
• Improve our existing algorithms models to increase search accuracy Partner closely with researchers, designers, product managers and other engineers

Requirements

• Product-minded: committed to building the best user experience.
• First experience building highly available, large-scale distributed search systems at a large-scale internet service (example: Elasticsearch)
• Knowledgeable about modern web technologies and an appetite to learn new ones, e.g. Node.js ES6, React, Redux, TypeScript
• Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth environment.
• Understand the trade-offs between different engineering solutions when solving a problem, value pragmatism over idealism

Bonus

• Rigor in A/B testing, test coverage, and other software development best practices
• Experience working with complex data models at scale

Hybrid: This position requires being in-office 2 days a week (Tuesdays and Thursdays)

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