We deliver a personalized shortlist of highly relevant products to professional retail buyers -- products we predict will sell from that buyer's store shelves. Inventory can be reserved in two taps.

Our team is comprised of veterans who have built and grown high-growth wholesale businesses as well as large online marketplaces and top shopping apps. We are backed by investors with expertise in retail, ecommerce, logistics and SaaS-enabled marketplaces.

We are looking for experienced, driven engineers with an entrepreneurial mindset and a bias toward action. As an early team member, you'll have a defining impact on the product, company and culture.

What you'll do

Build scalable and reliable systems that efficiently process data

Help design and maintain our frontend and backend infrastructure

Iterate on supplier-facing tools, admin tools and APIs for buyer-facing applications

Collaborate with the rest of the team to conceptualize, spec, build, test and deploy new features

Continuously raise the bar in terms of code quality, test coverage, performance and systems design

What you'll need

Experience building, deploying and maintaining a Django, Ruby on Rails or similar application in production with a significant userbase

Experience wrangling and operationalizing data from diverse sources

Experience designing and implementing APIs for internal use

Track record of quality, maintainable code with an emphasis on unit-testing/TDD/BDD

Expert knowledge of working in cloud-based infrastructure (AWS, Rackspace, Heroku)

Expert knowledge of load balancers, proxy servers, CDNs and message queuing

Experience automating the provisioning of servers with Chef, Ansible, Puppet or any other configuration/management software

Experience with PostgreSQL and other data stores

Familiarity with agile methodologies and test-driven development

An affinity for well-tested code

Strong CS fundamentals

It would be excellent if you had

Experience working on an ecommerce application or marketplace platform

Experience working on production machine learning systems, recommendations, search and ranking

Experience working with a distributed team

Familiarity with continuous integration tools