Growth Product Manager: Behavioral Economics & Experiments

Fabulous; Paris; Remote; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Monthly Workshops

Book Club

Team Challenges

Team-Building

Remote work

Job summary

Fabulous is seeking a growth-minded experiment designer to build and run tests that reduce friction in sharing delightful moments and to measure lift when presenting habit choices. You will create product experiments, analyze tradeoffs on conversion and habit adoption, and iterate quickly based on results.

You should be fluent in SQL, R, or Python, and comfortable conducting user interviews. A strong statistical background and clear written communication are essential for rapid learning and

Qualifications

• Solid understanding of statistics and/or econometrics.
• Strong written and verbal communication skills.
• Ability to write clean, concise code in SQL, R, or Python.
• Experience conducting user interviews and running pilots.
• Rapid experiment cycles for learning and prioritization on growth areas.
• Knowledge of behavioral science theories and concepts for product metrics.
• Deep understanding of experimental design and methods, including quasi-experiments and A/B tests.

Responsibilities

• Developing experiments to reduce friction in the sharing of delightful moments.
• Designing experiments to measure lift when presenting habit choices.
• Creating product experiments (on completion rate, habit adoption, etc) and measuring tradeoffs on successful actions.

Skills

Statistics / Econometrics

Written & verbal communication

Experiment design & A/B testing

SQL / R / Python coding

User interviews & pilots

Growth/product metrics understanding

Tools

SQL

R

Python

Job description

Fabulous is seeking a growth-minded experiment designer to build and run tests that reduce friction in sharing delightful moments and to measure lift when presenting habit choices. You will create product experiments, analyze tradeoffs on conversion and habit adoption, and iterate quickly based on results.

You should be fluent in SQL, R, or Python, and comfortable conducting user interviews. A strong statistical background and clear written communication are essential for rapid learning and