Type: Full-time, salaried employment
Location: Remote, United Kingdom only.
Salary Range: £90,000 - £105,000 + stock options.
Who We Are
Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world.
We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
What You Will Be Responsible For
As Senior Product Manager, you will take ownership of how data is processed at Focal, and shape what that path becomes: from the imports that bring a retailer's planograms, inventory and store metadata into our platform, through the pipelines that turn them into signal, to the metrics and reports their head office acts on. You will work with data engineering, data scientists, analytics, customer success and the retailers themselves. What you build are data products, and the measure of one is what a retailer does differently because of it.
This is a hands-on role. You will set direction and priorities as we roll out to hundreds of new stores, but you are also expected to know the systems well enough to be a partner in an engineering design conversation, pull your own numbers when something looks wrong, and hold a strong position in the discussions with customers.
What We Are Looking For
- You are a peer to the engineers you work with, someone who understands the systems well enough to know what is expensive and why and when to push back
- You are drawn to the seams between teams, where ownership is shared and the hardest problems live
- You write your own queries and interrogate the answers before anyone else has to, and you can name the business number a data product of yours moved
- You can change your mind in a technical argument, and you can point to the time you did
- You have strong judgment about what not to build, and you have killed your own work when it stopped earning its place
- You use AI as part of how you actually work, and you have built things with it that other people went on to use, not demos you gave once
- You communicate complicated things crisply to people who do not share your context, including customers hearing an answer they did not want
- You build things that outlast you, whether runbooks, tooling or documented decisions, because you would rather remove yourself as a dependency than be indispensable
