Frontend Engineer

Qualify millions of Data-Signal-Scarce leads that couldn't be found...

About the role

We are looking for talented individuals to join our dynamic and innovative team. Our mission is to discover and qualify B2B leads that traditional methods cannot find.

Responsibilities

• Develop and maintain lead qualification systems using advanced AI techniques.
• Work closely with the technical team to review and refine lead qualification processes.
• Collaborate with the CEO to ensure alignment with company goals and vision.
• Contribute to the development of engaging user interfaces and tools.
• Participate in regular meetings and provide feedback on ongoing projects.

Requirements

• Experience with React and TypeScript.
• Strong problem-solving skills and ability to work independently.
• Interest in AI and machine learning applications.
• Ability to work in a fast-paced, agile environment.
• Experience with GitHub and version control systems.

Benefits

• Competitive salary range of $60K - $200K.
• Opportunities for growth and innovation within a supportive and collaborative team.
• Flexible work schedule and remote work options.
• Access to cutting-edge technology and tools used in AI and data science.

Skills

• React
• TypeScript
• Machine Learning
• Data Science
• AI

Pay

$60K - $200K

Schedule

Full-time

Benefits

• Health insurance
• Retirement plan
• Flexible work hours
• Professional development opportunities

Company Information

Based in Paris, IDF, FR / Paris, Île-de-France, FR / San Francisco, CA, US

Job Type

Full-time

Role

Engineering, Frontend

Experience

Any (new grads ok)

Visa

US citizen/visa only

Founded by

• Milan Stankovic

CEO's Advice

• Hire people who make you never want to hire “normal” people again.
• Don’t hire people who need to be managed.

Company Description

We believe times are changing, and now we can make AI smarter so that it can achieve more with less data. To tackle this challenge, we develop smarter crawlers to extract exhaustive information about even the smallest companies, and extrapolate missing information. We train lead representation models to power our lead recommender system, and build a whole set of tools to enable AI to leverage all the information we have to answer lead qualification questions as well as a human sales rep would.

Team Culture

• Low overhead and agile work style.
• Single weekly team coordination meeting.
• All other meetings in service of actual work or personal development.
• GitHub Project for tracking tasks.
• Weekly iterations.
• English language.
• A sense of freedom and support.

Application Process

• Submit a public GitHub project for review.
• 10-minute interview with the CTO.
• Technical review with the technical team.
• Meet with the CEO.

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