Senior Full-Stack Engineer

Posted 8 Days Ago
New York City, NY, USA
In-Office
Senior level
Artificial Intelligence • eCommerce • Logistics • Software
The Role
Build and operate Spherecast OS, a real-time platform for consumer-goods supply chains. Own full-stack features from data models and APIs through data-dense planning interfaces. Design scalable architectures, optimize SQL queries over large datasets, write backend and frontend tests, and work directly with supply-chain operators to deliver product outcomes. The role uses Python, FastAPI, Vue or React, TypeScript, and Tailwind CSS, with bonus exposure to data ingestion, DevOps, and AWS.
Summary Generated by Built In
Senior Full-Stack Engineer (Visa Sponsorship)

Build the Spherecast Platform, the real-time operating system for global consumer-goods supply chains. Agnes, our AI Supply Chain Manager, runs on top of it to evaluate options, decide what to produce, where to make it, and how to move it through factories, warehouses, and channels.

You’ll own features end to end, from data models and APIs to the planning interfaces customers use every day. You’ll design the architecture that turns messy operational data into actions in real time, so physical goods flow reliably to the right place at the right time.

You’ll be part of the core team to make the physical flow of goods programmable.

If you're a builder who thrives at the intersection of large-scale data architectures, systems engineering, and interfaces that make messy real-world data feel simple, this is your opportunity to shape how global brands run their supply chains.

What we're looking for

You are a great fit if you have:

  • Hands-on experience with our stack on both sides of the wire. Python and FastAPI on the backend. Vue 3 (or deep React experience and the willingness to switch), TypeScript, and Tailwind CSS on the frontend. A track record of shipping real products.

  • A track record of building full-stack apps end-to-end: designing the data architecture, building the API, and shipping the UI that puts it in users' hands.

  • Experience building data-dense product UIs such as interactive charts, editable tables, and
    drag-and-drop planning tools, and keeping them fast with server-state patterns like TanStack Query.

  • Proficiency in SQL, writing high-performance queries despite millions of data points for even a single customer.

  • A habit of testing what you ship: pytest on the backend, Playwright and Vitest on the frontend. Your features work, and stay working.

  • System design skills, one of your biggest assets. You know how to design architectures that not only scale in the short term, but can also grow with the company with minimal human supervision.

  • Claude Code, Codex, and OpenCode are your best friends. You know how to parallelize instances to make sure we're shipping 24/7, even while you sleep, and you know the ins and outs of each of them at any time.

  • When it comes to engineering with your toolkit, you don't care whether it's a pickaxe or a shovel. You know which one to use at any time.

  • Excited to work directly with CPG operators and own product outcomes end to end, from understanding the workflow to shipping and operating the systems that improve it.

  • Motivated by the chance to join an exceptionally ambitious, high-ownership team that moves quickly, holds a high bar, and is determined to build a company that makes history.

  • Bonus: Experience building a company before, unstructured data ingestion systems, DevOps, and AWS.

About Spherecast

Spherecast is building the operating system for AI-native Consumer Goods Supply Chains.

The Spherecast Platform brings demand, inventory, materials, capacity, costs, and business rules into one real-time operating context. It gives teams a single place to plan, evaluate tradeoffs, and execute the decisions that move physical goods.

Agnes, our AI Supply Chain Manager, runs on top of this foundation. It evaluates thousands of feasible options in seconds to decide what to produce, where to make it, and how to move it through factories, warehouses, and channels. Teams set the objectives and guardrails; Agnes turns them into approved actions in the ERP.

Our ambition is to make the physical flow of goods as programmable as code. When we succeed, every consumer product you touch will run on the Spherecast stack: planned in Spherecast OS, executed through Spherecast Rails, and optimized by the shared Spherecast Network.

Oracle made business data programmable. Spherecast makes the physical economy programmable.

Join us in the trenches in New York City to build the operating system for AI-native Consumer Goods Supply Chains.

Be part of building the next trillion-dollar company.

Skills Required

  • Hands-on experience with Python and FastAPI
  • Experience with Vue 3, or deep React experience and willingness to switch
  • Experience with TypeScript and Tailwind CSS
  • Track record of shipping full-stack products end to end
  • Experience designing data architectures, building APIs, and shipping user interfaces
  • Experience building data-dense product UIs, including interactive charts, editable tables, or drag-and-drop planning tools
  • Experience with server-state patterns such as TanStack Query
  • Proficiency in SQL and writing high-performance queries over large datasets
  • Experience testing backend systems with pytest
  • Experience testing frontend systems with Playwright and Vitest
  • System design and scalable architecture skills
  • Experience using Claude Code, Codex, and OpenCode
  • Experience working directly with consumer packaged goods supply-chain operators and owning product outcomes
  • Experience building a company
  • Experience with unstructured data ingestion systems
  • DevOps experience
  • AWS experience
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The Company
7 Employees

What We Do

Spherecast is an AI Supply Chain Manager for consumer goods, building 'Agnes' to automate demand planning, inventory optimization, and replenishment. It helps multi-channel e-commerce businesses solve stockout and overstock problems by simulating thousands of options and executing optimal plans across factories, warehouses, and channels.

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