Retool and NoCode / Low Code Engineer & Junior Product Manager

Fabulous; France; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A dynamic tech company in France is seeking a Growth Product Manager who will assist in executing the product roadmap and drive collaboration between teams. Responsibilities include conducting market research, optimizing features, and supporting growth experimentation. The ideal candidate possesses strong software engineering skills and a bachelor's degree in a technical field.

Qualifications

• Background in software engineering is required.
• Confidence in JSON and JAVA or Javascript is essential.
• Understanding of statistical significance and experimental design is important.
• Passion for growth and metrics is desired.

Responsabilités

• Assist CPO in executing the product roadmap.
• Coordinate with departments for product development.
• Conduct market and user research for product insights.
• Monitor and analyze product metrics for performance insights.
• Support experimentation processes for growth.

Connaissances

Software engineering

JSON

JAVA or Javascript

SQL

Statistical significance

Experimental design

Growth and metrics

Data-driven mindset

Behavioral science

Machine Learning

Formation

Bachelor's degree in statistics, computer science, engineering or related field

Description du poste

Responsibilities

• Execution of Product Roadmap: Assist the CPO in implementing the product roadmap by coordinating with relevant departments, ensuring milestones are met on time.
• Cross-functional Collaboration: Serve as a liaison between the product, engineering, marketing, and customer support teams to ensure clear communication and alignment on product development and growth strategies.
• Market and User Research: Conduct market research to gather insights on industry trends, competitor strategies, and user feedback. Utilize this data to inform product development and growth opportunities.
• Feature Development and Optimization: Work closely with the engineering and design teams to define product requirements, oversee feature development, and ensure product quality. Continuously seek opportunities for product improvement and optimization.
• Performance Analysis: Monitor and analyze product performance metrics, providing regular reports to the CPO and relevant stakeholders. Use insights to inform future product and growth strategies.
• Stakeholder Communication: Effectively communicate progress, challenges, and achievements to stakeholders, including the CPO, other teams, and external partners as necessary.
• Experimentation and Growth: Support the entire experimentation processes of the Growth and Core Product teams; code, analyze, and work across the Growth workstreams. Collaborate with the Core Product Development team, Growth Team, and Data Science team to learn and train in growth product management.

• Peer-reviewing Growth code and assisting in code review for Growth experiments
• Assisting with experiment launches on Google Firebase
• Debugging code and working closely with the product development team
• Assist in QAing new features prior to releases
• Peer-reviewing experiment analysis
• Owning the translations of winning experiments into other languages/across platforms, and owning this experimentation process from start to finish.

Qualifications

• Has a background in software engineering
• Is very confident in JSON & JAVA or Javascript (SQL is bonus)
• Is comfortable with statistical significance and common types of statistical bias
• Understands the basics of good experimental design
• Is passionate about growth, metrics, and providing an outstanding user experience
• Is data-driven and analytical. Our team strives to find user patterns and leverage them to optimize key metrics and user experience.
• Passion for learning and an interest in behavioral science is a bonus
• Ideally, has a bachelor’s degree in statistics, computer science, engineering, any technical major, or related work experience.
• Has designed and run AB/ RCT trials before. Understand the nuances of good experimental design.
• Background in data science is a bonus.
• Background/interest in ML.