Growth Engineer: Build Experiments & Growth Analytics

Fabulous; Germany (OH); On-site; USD 85,000 - 120,000; Full time

Job summary

Fabulous seeks a highly analytical and creative Growth-oriented engineer to join our Growth team. You will support end-to-end experimentation, collaborate with Product Development and Data Science, and own the translation of winning experiments across platforms.

The role emphasizes working with JSON, JAVA or JavaScript, understanding experimental design and statistical bias, while driving data-driven growth and outstanding user experiences.

Qualifications

• Background in software engineering or equivalent
• Experience with JSON and at least one programming language (JAVA/JavaScript)
• Understanding statistical significance and bias in experiments
• Passion for growth, metrics, and user experience
• Analytical mindset with data-driven approach

Responsibilities

• Support the end-to-end experimentation processes of the Growth team.
• Collaborate with Product Development and Data Science teams.
• Learn and train in growth product management/PM.
• Peer-review Growth code and assist in code review for Growth experiments.
• Assist with experiment launches on Google Firebase.
• Debug code and work closely with product development teams.
• Assist in QAing new features prior to releases.
• Peer-review experiment analyses.
• Oversee translations of winning experiments across languages and platforms.

Skills

JSON

JAVA

JavaScript

Statistics

Experiment design

Growth metrics

Data-driven

Education

Bachelor's degree in statistics

Bachelor's degree in computer science

Bachelor's degree in engineering

Tools

Google Firebase

Job description

Fabulous seeks a highly analytical and creative Growth-oriented engineer to join our Growth team. You will support end-to-end experimentation, collaborate with Product Development and Data Science, and own the translation of winning experiments across platforms.

The role emphasizes working with JSON, JAVA or JavaScript, understanding experimental design and statistical bias, while driving data-driven growth and outstanding user experiences.