About the job
About Meter
At Meter, we are dedicated to revolutionizing internet infrastructure. Our mission is to simplify the complexities of computer networking, internet, and Wi-Fi for businesses of all sizes. By creating a vertically integrated stack that encompasses hardware, software, and operations, we are transforming networking into a modern utility.
Our vision extends beyond just reliable connectivity; we aim to make visibility, control, and automation of physical infrastructure as intuitive as managing software applications. This is where Command plays a pivotal role.
About Command
Command is our generative user interface, providing a natural language layer across the entire Meter stack. With Command, users can easily inspect, configure, and troubleshoot their networks using conversational queries and commands. It merges real-time telemetry with historical data and model-generated insights, enabling users to ask questions like “What’s the status of the Wi-Fi on the third floor?” or “Restrict all traffic from this device immediately.”
Command is already reshaping how our teams and clients engage with their networks, and we are just at the beginning of this exciting journey.
Why This Role Is Important
We are on the lookout for a full stack engineer who will lead the product development of Command. This role is ideal for someone passionate about transforming user interactions with intelligent infrastructure. It requires extensive collaboration across various functions, including our model team, application engineers, operations, and support, to create seamless workflows over robust systems.
Your contributions will merge cutting-edge machine learning technologies with practical applications, as you build one of the first interfaces of its kind, deployed across thousands of locations and millions of devices.
Your Responsibilities
Lead the full stack development of Command, covering UX, backend, and model integration.
Design and implement frontend features utilizing Next.js, TypeScript, and React.
Develop and scale backend services with TypeScript, Planetscale DB, QStash, and more.
Incorporate LLMs and AI models into live workflows for users.
Guide product direction through active collaboration with users and cross-functional teams.
Define the interaction design and behavior of an innovative, conversational UI that is both expressive and intelligent.

