Our mission is to empower entrepreneurs with the right tools to unlock sustainable growth.

SMBs account for 90%+ of businesses in the world and create over two-thirds of all jobs, making them the lifeblood of the global economy. As former small eCommerce merchants, we started Shypyard because we were frustrated that SMBs can’t afford the planning solutions used by large companies. As a result, these entrepreneurs struggle to accurately forecast and plan for future growth, leading to whipsaw performance that places the business in financial jeopardy. By empowering SMBs with the right tools to grow and thrive, we hope to positively impact the world economy.

Today, we create the best forecasting and planning systems for SMB brands to monitor and understand their sales and operations, so they can save time, money and confidently make decisions to hit their financial objectives.

After encountering these problems first-hand in eCommerce, we’ve assembled a team that is bringing their experience from places like Shopify, Facebook, BCG, and Harvard to scale the solution in software. We’ve teamed up with world-class investors, advisors, and industry leaders from Shopify, BigCommerce, and SnapCommerce to build new technology that shifts the paradigm of commerce.

We recently raised our first institutional round backed by top VCs, led by Gradient Ventures, Google’s AI fund, with backing from industry leaders in eCommerce.

Ultimately, our vision is to connect the entire ecosystem of suppliers, logistics companies, distributors and merchants into commerce graph and allow them to communicate across a unified platform. Through the platform data, Shypyard can provide unprecedented insights for both merchants and suppliers on aggregate supply and demand around the world, reducing the bullwhip effect seen throughout times of uncertainty, ie: COVID. Together with our customers, we can transform the global commerce supply chain to become more transparent, trustworthy and less wasteful.

Focus on Impact: As an early engineering hire, you will have the opportunity to work closely with the founders, designers and PMs to shape the product and work on challenging technical problems. What we care most about is delivering real value to the customer by listening to customer feedbacks and constantly iterating on the product.

Moving fast: We are a fully distributed team between the US and Taiwan. As a small team, we work very closely and move quickly on product decisions and developments. We are looking for folks who want to be constantly challenged in a fast-moving environment.

Communicate Transparently and openly: We strongly believe in transparency, and we communicate over Slack, Notion, and Tandem with any product direction or decision we make. We are also open to discussions regarding any product decisions.

Working autonomously: you will be given full autonomy and trust on running your projects end-to-end, while still communicating early and frequently with other team members to stay aligned on the project goals and implementations.

Architect and implement features for the workflow orchestration and analytics engine

Create infrastructure and internal tooling to handle extremely high transaction volume (thousands of executions per minute)

Help assess and recruit future engineers

3+ years of software engineering experience

proficient communication in English

Familiarity with Node, TypeScript, & React

Experience with AWS, Docker, and Kubernetes

Highly motivated individuals who can excel in a remote working environment

Bonus: experience working in different e-commerce related tech stacks

100-180萬. Start with 2 month of contractor role

開發及維護現有軟體

負責網站前端跟後端的開發，優化用戶端功能設計。

研究與改善我們尺寸推薦器的模型

網站效能優化

英語程度佳

至少2-3年web application 的開發經驗，使用Git, nodeJS, Flow/Typescript, ReactJS, Mysql, webpack, HTML/CSS等的tech stack。

以前端開發來說，很熟悉Javascript/HTML/CSS

有設計開發伺服器端API的經驗。

有設計一定複雜度軟體，使用object oriented programming跟其他相關的design pattern的經驗。

具BS/MS in Computer science 或類似的專業。

可以在remote的環境下獨立工作。

對Shopify或其他電商平台開發有經驗。

AWS使用經驗

Experience or interests in basic machine learning & statistics

全職: 100-180萬 / year. 開始以contractor的形式，以2個月試用期開始。還會補助勞健保與獎金

每週40小時。可彈性調整上班及休息時間

每年14天特休

follow 台灣的國定假日

每個禮拜會有固定的遠端會議