Junior PM and Engineer; Computer Science Background

Junior PM and Growth Engineer (with Computer Science Background)

This range is provided by Fabulous. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

The Fabulous goal is to help people all over the world master the art of behavior change and build healthy habits. In joining the team, you will contribute to helping millions achieve their goals and change their lives. The Growth team combines behavioral science with growth product management to apply behavioral insights, inform experimentation, and optimize growth work.

• Assist the Chief Product Officer (CPO) in executing the product roadmap and spearheading growth engineering initiatives.
• Bridge communication between product management and other company functions to ensure alignment on objectives.
• Conduct market research and analyze user feedback to inform product development and growth opportunities.
• Collaborate with engineering and design to define requirements, oversee feature development, and pursue product optimization.
• Monitor product performance metrics and provide regular reports to stakeholders.
• Communicate progress, challenges, and achievements to the CPO, teams, and external partners as needed.
• Support growth and core product experimentation processes, code and analyze growth work streams, and collaborate with Growth, Core Product Development, and Data Science teams.
• Peer-review Growth code, assist with experiment launches on Google Firebase, debug with the product team, and assist in QA of new features.
• Own translations of winning experiments across languages/platforms and manage the end-to-end experimentation process.

• Background in software engineering
• Strong confidence in JSON and Java or JavaScript (SQL is a bonus)
• Comfort with statistical significance and common types of statistical bias
• Understanding of good experimental design basics
• Passion for growth, metrics, and delivering an outstanding user experience
• Data-driven and analytical mindset to identify user patterns and optimize key metrics
• Interest in behavioral science is a bonus

• Bachelor's degree in statistics, computer science, engineering, or a technical major, or related work experience
• Experience designing and running AB/RCT trials and understanding experimental design nuances
• Data science background is a bonus
• Interest or background in machine learning

An award-winning health, wellness, and coaching company that creates apps used worldwide. We operate with a remote, flexible culture focused on evidence-based research to change lives for the better. Team members work across time zones and use a variety of tools; meetings are kept to a minimum to support deep work.

Note:

This section was included to reflect the original job description; details are not repeated here to maintain focus on role clarity.

Location and status:
Frankfurt am Main, Hesse, Germany. This profile reflects a full description as of posting; refer to your recruiter for current status and location specifics.