10x better product recommendations for Shopify brands

Full-stack Engineer at Suggestr

$60 - $150 / 0.10% - 0.50%
Job Type
3+ years
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Aditya Mehta
Aditya Mehta

About the role

Job description

We are looking for an experienced full-stack web dev to join our founding team and help to build and scale our AI Recommendations product. Our product consists of two parts: an ML service and a web app which integrates our ML with Shopify front-end and client stores. There is enough engineering work on both sides. We are continuously bringing new features, new ML algos, scaling infra, improving devops, managing data pipelines, etc. It's the real opportunity to impact the business of thousands of online brands and create a product you will be proud of. You will communicate directly with CTO and other departments to drive impact together, as a team. There is no one to tell you what to do, we are waiting for you to tell us.

A bit about our engineering culture

  • Our primary value is logic. Everything is built and discussed based on the first principles.
  • You're welcome to create the most impact with the least effort.
  • We don't have legacy code – everything is being created as we talk with the last version of frameworks.
  • We aim to find optimal solutions to the problem and do not aim to reinvent the wheel.
  • Our team is result-oriented and not formalities-oriented.
  • Any member of a team can influence the whole product and its architecture.


  • 3+ years of full-stack experience
  • Preferably in a startup environment
  • Stack: Node.js (Koa, Next), React, JS, AWS, Docker, MongoDB, API
Really helpful to have
  • Experience with Shopify App development
  • Experience with ML engineering, MLOps
  • Experience with Recommendations / Search products


  • Market-rate compensation
  • Significant equity package
  • Flexible working hours
  • Fully remote / Nice co-working in Singapore
  • Health Insurance
  • Team dinners

Why you should join Suggestr

Consider It's 2021, and DTC is on 🔥 — Shopify's GMV is now approaching 40% of Amazon. Recently, over 4 days of BFCM, DTC brands on Shopify did over US$ 6.3B in sales. The trend here is evident, and DTC enablement is the way to go.

The Problem Product discovery on Shopify stores today is broken. It's comically bad. Think hand-picked product bundles for 100+ SKUs bad. On the flip side, platforms like Amazon drive over 30% of their sales from product discovery surfaces.

The Answer Suggestr is on a mission to drastically improve CX for DTC brands on Shopify. Our self-serve, no-code product recommendation solution leverages multi-modal AI to enable these brands to increase sales by up to 10%. In 3 months of launching, we're currently working with 99 brands and processing over half a million in annual GMV. That makes us one of the fastest-growing product recommendations solutions for Shopify brands. We're backed by Y Combinator, Entrepreneur First, and leading angel investors in the e-commerce space.