As a member of the Enterprise team, you’ll be tasked with creating new features and making improvements anywhere in the Roboflow product. We’re looking for technical generalists that aren’t afraid to dive into a new stack or toolchain if the need arises (but JavaScript and Node.js make up the brunt of the existing codebase). You will also help support and make improvements to our enterprise Jetson inference pipeline, so a solid foundation in Linux is highly desirable.
The Enterprise team forms close relationships with Enterprise customers to deeply understand their needs and advance their usage and success with Roboflow. You should expect to frequently be on-site with customers, doing factory tours, and building features needed to make prospective and current customers successful in Computer Vision with Roboflow.
As a member of the Enterprise team, you will also partner closely with the Field Engineering team. Not only to understand and expand partnerships with customers, but to identify opportunities to make the Field Engineers more efficient in collecting visual data and delivering insights to customers based on that data.
Most of the things we work on are parts of the core product (which is an end-to-end pipeline for building computer vision projects spanning from image ingestion to annotation to training and deployment) but from time to time we’re also working on things like integrating marketing and sales tools, fighting fires, automating internal processes, and open source projects.
You’ll have a wide degree of freedom to advocate for which projects you think should be highest priority and will contribute to increasing engagement and success of enterprise customers. If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won’t be a good fit.
The majority of our codebase is written in JavaScript, our machine learning and image processing pipeline is in Python. We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We’re increasingly using Docker (both internally and for customer facing products like our edge inference server). A lot of our code runs in the browser (including some Tensorflow JS) but we’re also working on building APIs and client libraries in several languages.
You certainly don’t need to be experienced in all of these areas; but should be excited to learn new skill sets as you need them. We also hope you’ll bring some new knowledge and experiences you can share to help level-up the rest of the team.
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Adding video recording and analysis tools to the Roboflow SaaS application, so that Field Engineers can quickly and efficiently collect and understand customer data.
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Streamlining the setup of new devices or inspections in the Roboflow application.
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Adding a new workflow block to allow customers to send visual insights to Power BI or Tableau.
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Adding new capabilities for edge device management such as GPS coordinate visualization.