Junior PM and Growth Engineer (with Computer Science Background)

Fabulous; India; Presencial; Jornada completa

Descripción del empleo

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 become a part of helping millions achieve their goals and change their lives.

Responsibilities

• Execution of Product Roadmap: Assist the CPO in implementing the product roadmap by coordinating with relevant departments and ensuring milestones are met on time.
• Cross-Functional Collaboration: Serve as a liaison between 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 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.
• Support the entire experimentation process of the Growth and Core Product team: Code, analyze, and work in every facet of the Growth workstreams; collaborate with the Core Product Development team, the Growth Team, and the Data Science team; earn and train in the skills of growth product management/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.

Requirements

• Background in software engineering.
• Confidence in JSON & JAVA or JavaScript (SQL is a bonus).
• Comfortable with statistical significance and common types of statistical bias.
• Understanding of the basics of good experimental design.
• Passion for growth, metrics, and providing an outstanding user experience.
• Data-driven and analytical mindset; ability to find user patterns to optimize key metrics and the user experience.
• Passion for learning and interest in behavioral science (bonus).

What Would Be Fabulous

• Ideally, bachelor’s degree in statistics, computer science, engineering, or a related technical major, or related work experience.
• Experience designing and running AB/RCT trials; understanding the nuances of good experimental design.
• Background in data science (bonus).
• Background or interest in machine learning.