Recent submissions

Comment · 1 month ago
We don’t hold on to a decision just because it was successful at the time. When a core assumption changes, we’re willing to go back and ask whether it’s still the right call. LLMs changed one of the core assumptions behind our 2020 decision, so we reevaluated our mobile stack from first principles.

What we found led us back to native.

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Shopify | Ottawa, Montreal, Waterloo, Toronto, Vancouver, San Francisco | Full-Time | Software Developers, Production Engineers (remote), Product Managers, Data Scientists, Product Designers | ONSITE, REMOTE | https://www.shopify.com/

Shopify’s R&D teams are equal parts ambitious, collaborative, and inventive. We work in ambiguity with a whole lot of trust and support. But why do we choose Shopify? Because we all care deeply about independent business owners, and strive to make commerce better for everyone.

Want to know more about our tech stack and how we build for commerce at scale? Take a look: https://engineering.shopify.com/blogs/engineering/e-commerce...

Here are just some of the R&D roles we’re hiring for this month:

* Software Developers: https://www.shopify.com/careers/software-developer-show-us-y...

* Production Engineers: https://www.shopify.com/careers/production-engineering-devel...

* Product Managers: https://www.shopify.com/careers/senior-product-lead-financia...

* Data Scientists: https://www.shopify.com/careers/senior-data-scientist-multip...

* Product Designers: https://www.shopify.com/careers/senior-product-designer-0b6a...

* Mobile Developers: https://www.shopify.com/careers/mobile-developer-show-us-you...

This is, of course, not an exhaustive list! Check out our careers page https://www.shopify.com/careers/specialties to see all of our open roles, and to learn more about the sort of work you could do here with us!

Comment · 6 years ago
Shopify | Ottawa, Montreal, Waterloo, Toronto, Vancouver, San Francisco | Full-Time | Software Developers, Production Engineers (remote), Product Managers, Data Scientists, Product Designers | ONSITE, REMOTE | https://www.shopify.com/

Shopify’s R&D teams are equal parts ambitious, collaborative, and inventive. We work in ambiguity with a whole lot of trust and support. But why do we choose Shopify? Because we all care deeply about independent business owners, and strive to make commerce better for everyone.

Want to know more about our tech stack and how we build for commerce at scale? Take a look: https://engineering.shopify.com/blogs/engineering/e-commerce...

Here are just some of the R&D roles we’re hiring for this month:

* Software Developers: https://www.shopify.com/careers/senior-developer-852e77

* Production Engineers: https://www.shopify.com/careers/production-engineering-devel...

* Product Managers: https://www.shopify.com/careers/senior-product-lead-financia...

* Data Scientists: https://www.shopify.ca/careers/senior-data-scientist-waterlo...

* Product Designers: https://www.shopify.com/careers/senior-product-designer-0b6a...

* React Native https://www.shopify.com/careers/react-native-engineer-c30764

This is, of course, not an exhaustive list! Check out our careers page https://www.shopify.com/careers/specialties to see all of our open roles, and to learn more about the sort of work you could do here with us!

Comment · 9 years ago
Hi there, these are some good points.

This process doesn't put more risk on the employee, because at any job and with any interview process, one would hope that both the company and the candidate are still in the honeymoon period within the first 90 days. So even if I passed the 5 hour interview, I may not pass the first 90 days.

The biggest difference, is that I'm transparent about the fact that interviews are not a good predicator (I guess I could waste everyone's time by spending 5 hours interviewing?)

Comment · 9 years ago
Interesting points.

We never found smart effective folks who did not want to get to know newer smart and effective folks.

Comment · 9 years ago
We are totally transparent about the process, but this is the standard process anywhere. i.e. if I interview at Google (7 hours) and am not a fit within 90 days, I sure hope we both figure that out (and not in 9-12 months). So given the same # of people who would be let go within 90 days, why waste time interviewing them for longer?

So even though this is implicit elsewhere, we make it explicit (if you don't think we're a fit for you, or we don't think you're a fit for us, we'll part ways)

Let me know if that makes sense

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