Software Engineer (Product)

About the role

About the Company

Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. Leveraging wireless signals, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands.

Founded by an MIT engineering professor and alum behind the award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by the prestigious SBIR Award from the US National Science Foundation, we've bootstrapped to a live product that's now deployed in over a dozen countries and have been aggressively scaling in the market.

About the Role

Our first product is the only indoor inventory positioning system that operates on existing handheld devices. We are expanding to more enterprise customers, each with slightly different integration and product needs. Thus, we are looking for more engineers on the team to interact closely with customers, the product team, and other internal teams. You will craft our technology into useful applications combining the physical world, data, and human interaction.

Today, engineering serves three core user groups:

- The retail stores themselves (store associates, managers, HQ, etc.), who are looking to find, track, and analyze inventory efficiently and seamlessly.

- Our internal research teams who continuously improve our spatial AI, require high-quality datasets for training new models, and explore entirely new product capabilities.

- Our internal product and business teams who need to understand usage trends, explore new markets (e.g. warehouses, distribution centers, manufacturing), and onboard new customers.

You will work closely with all of these groups to both figure out what to build and ensure it can be built for performance, maintainability, security, quality, and scalability.

This is a generalist role where you will primarily work across the stack to own features end-to-end, but also contribute to internal platform improvements like infrastructure, CI, and architecture. Examples of work include:

- Implementing new user-facing features that help retail associates locate items within physical stores (e.g. enabling customers to build and manage their own store maps)

- Building mobile and web tools that generate high-quality datasets for our R&D team, powering the models behind our spatial AI

- Building dashboards that turn raw usage into product insights (e.g. usage patterns, value-delivery, experimental results) for internal teams and customers

- Building scalable web services and intuitive APIs with modern Python

- Managing cloud infrastructure using IaC tools, including Kubernetes, Helm, Terraform