Junior Pm And Growth Engineer (With Computer Science Background)

Fabulous
Lleida, Spain
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Lleida, Spain

Tech stack

Java
JavaScript
Software Debugging
JSON
Software Engineering
SQL Databases
Firebase
Information Technology
Data Analytics

Job description

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.At Fabulous, our Growth team packs a one-two punch. Our team is made up of behavioral scientists and growth product managers. We're unique in the tech/health & wellness world, applying behavioral insights to help better our product, inform our experimentation, and optimize our growth work.ResponsibilitiesAs a Core Junior Product Manager with a Growth Engineering speciality, you will play a pivotal role in supporting the Chief Product Officer (CPO) in executing the product roadmap and spearheading growth engineering initiatives. This role is ideal for a dynamic, data-driven individual who thrives in fast-paced environments and is passionate about building products that users love, and has a computer degree. You will act as a bridge between the product management and the rest of the company, ensuring seamless communication and alignment on objectives.Roadmap execution: Support the CPO in delivering the product roadmap, coordinating across teams to hit milestones on timeCross-functional collaboration: Act as the link between product, engineering, marketing, and data science to keep work alignedExperiment engineering: Peer-review growth code and experiment analysis, launch experiments (e.g. on Firebase), debug, and QA features before releaseResearch & reporting: Run competitor and user research, and report product performance to the CPO and stakeholdersPricing & packaging experiments: Design, ship, and analyze tests on price points, bundles ("kits"), intro offers, and paywall design across the Web2App funnel, including setting up and maintaining the underlying plans in Chargebee across staging and productionWillingness-to-pay & dynamic pricing: Run pricing research (surveys, conjoint, Van Westendorp, Gabor-Granger) and support WTP-based segmentation to match offers to users and grow LTV and ROASFunnel monetization & metrics: Optimize conversion and ARPU across onboarding, paywall, upsells, and save flows, tracking PS conversion, PS_LTV_14, ARPU, and upsell attach rateRequirementsHas a background in software engineeringIs very confident in JSON & JAVA or Javascript (SQL is bonus)Is comfortable with statistical significance and common types of statistical biasUnderstands the basics of good experimental designIs passionate about growth, metrics, and providing an outstanding user experienceIs data-driven and analytical. Our team strives to find user patterns and leverage them to optimize key metrics and user experiencePassion for learning and an interest in behavioral science is a bonusPreferred QualificationsIdeally, has a bachelor's degree in statistics, computer science, engineering, any technical major, or related work experienceHas designed and run AB/ RCT trials before. Understand the nuances of good experimental designBackground in data science is a bonusBackground/interest in ML#J-*****-Ljbffr

Requirements

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 Preferred Qualifications 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 #J-*****-Ljbffr

About the company

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. At Fabulous, our Growth team packs a one-two punch. Our team is made up of behavioral scientists and growth product managers. We're unique in the tech/health & wellness world, applying behavioral insights to help better our product, inform our experimentation, and optimize our growth work.

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