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

Design backend API contracts and work closely with the frontend team

Create infrastructure and internal tooling to handle large scale data processing

Mentor and lead junior engineers & interns

Help assess and recruit future engineers

4+ year experience with large-scale distributed infrastructure systems and client-server architecture

Excellent communication skills (English Reading/Writing skills are required)

Experienced with backend technologies like nodejS, graphQL, mysql, AWS Lambdas, Kinesis, AWS data pipeline, etc

Passionate with code quality, testing and improving engineering efficiency

Open-minded and willing to learn new things and grow as an engineer

Highly motivated individuals who can excel in a remote working environment

Experience as a technical lead or architect on a complex distributed system project

Experience with Cloud Computing platforms: AWS, Microsoft Azure, GCP, or similar

Experience with DevOps, Container, microservices architecture and etc.

Experience working in different e-commerce related tech stacks

Experience or interests in machine learning & statistics

Up to $60,000 / year all in compensation. Start with 3 months of probation period.

Macbook pro laptop

40 hours work week, flexible hours, and fully remote.

14 days of PTO (paid time off) per year, and follow all the national holidays in the country.