Retool and NoCode/Low Code Engineer & Junior Product Manager

Role Overview

You will join Fabulous’ Growth team as a Retool and NoCode/Low-Code Engineer & Junior Product Manager. Working closely with the Chief Product Officer (CPO), you will help execute the product roadmap and drive growth engineering initiatives using data-driven experimentation.

Responsibilities

• Support the product roadmap by coordinating across departments to deliver milestones on time.
• Cross-functional collaboration as a liaison between Product, Engineering, Marketing, and Customer Support.
• Market and user research to gather insights on trends, competitors, and user feedback, and use them to identify growth/product opportunities.
• Feature development & optimization: define product requirements, oversee feature development, and ensure quality with engineering/design.
• Performance analysis: monitor product metrics, report findings to the CPO/stakeholders, and use insights to guide future strategy.
• Experimentation support for Growth and Core Product, including:
  • End-to-end ownership of translating winning experiments across languages/platforms
  • Supporting experiment launches on Google Firebase
  • Debugging and QAing new features prior to release
  • Peer-reviewing growth code and reviewing experiment analysis
  • Assisting with experiment launches and the experimentation process
• Act as a bridge between product management and the rest of the company to maintain alignment on objectives.

Requirements

• Background in software engineering.
• Comfortable with JSON and Java or JavaScript (SQL is a bonus).
• Comfortable with statistical significance and common types of statistical bias.
• Understand the basics of good experimental design.
• Strong passion for growth, metrics, and user experience.
• Highly analytical and data-driven approach.
• Interested in behavioral science (bonus).
• Comfortable coding/working across Growth workstreams.

Nice to Haves

• Bachelor’s degree in statistics, computer science, engineering, or a related technical field.
• Experience designing and running A/B tests and RCT trials.
• Data science background.
• Interest/background in Machine Learning (ML).

Location / Work Setup

• Anywhere in the World (HQ: France).