Babylist

Babylist combines data, content and technology to help expecting parents discover, research, and buy everything they'll need for a new baby.

East bay

101 - 250 employees

26 - 50 engineers

$5m - $10m funding

Series b

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Babylist is the premier platform for expecting and new parents. We offer our users an anything-and-everything baby registry that offers our users the benefits of both a specialty retailer and an everything-store marketplace, expert editorial guides and content, and unique insights on new parent trends. In 2018, over 1.5M people have given more than $200m in gifts on the Babylist platform. We are currently growing +80% YOY in revenues.

Why join us?

We work at a sustainable pace for long-term success. Babylist has been profitable every year since it launched in 2011.
We have smart, experienced leadership that is always open to new ideas. We are led by a female technical founder who has built a diverse team and values breadth of backgrounds and experiences.
We believe in autonomy and reward taking initiative. We get stuff done.
We are growing rapidly. Revenues grew 86% YOY in 2018 and e-commerce revenues grew by 125%. By the end of 2019 we will be the largest baby registry on iOS in the United States.

Engineering at Babylist

Engineering team and processes

The engineering team is organized around both features and user journeys. Engineers are encouraged to both go deep and go broad in owning the end-to-end. We work in two week sprints, solo or in pairs in collaboration with product managers and design as needed for the project. All engineering work is code reviewed by peers, with an emphasis on good test coverage and use continuous deployment to push new features to our users multiple times per day.

Technical Challenges

1) Scaling our direct to consumer e-commerce sales, projected to double in 2019.

2) UX challenges related to guiding less technically savvy users through what might be one of their first/only e-commerce purchases

3) Scale a large universal React application to offer users one of the fastest e-commerce and content experiences available online.

4) Using machine learning to build predictive algorithms and product recommendation/discovery experiences that help you understand the plethora of new brands and products you're being introduced to.

5) Building a rich realtime database of all baby related products, where they are available for sale, and for how much.

Projects you might work on

Creating a real-time universal product database for every item added to baby registries from any site on the web - classifying price, availability, brand, etc. Database provides the backbone for machine learning based product recommendations for our users, business intelligence insights to vendors and partners, and merchandising buying decisions for our e-commerce store.
Creating a personalized registry experience in our apps and mobile web experience, integrating content, user actions, user preferences, and product recommendations to make it easy to
Scaling our e-commerce logistics systems to support shipping $36 million dollars worth of products in 2019. This includes warehouse task automation, intelligent order routing to multiple fulfillment centers, and providing users with a streamlined returns process.

Tech stack

Ruby on Rails

React

React Native

Redux

Redis

MySQL

CircleCI

Git