---
title: 'Senior Full-Stack Engineer at Spherecast'
canonical: 'https://feeny.ai/job/senior-full-stack-engineer-spherecast-new-york-5k31szy685za'
type: 'job'
last_seen: '2026-09-26'
---

# Senior Full-Stack Engineer at Spherecast

- **Company:** Spherecast
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/spherecast/3d30994b-2e23-4118-af81-f48fd5ff7224

## Job description

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.

## About Spherecast

## Company Overview
- **One-liner**: Spherecast builds an AI-powered supply chain management platform for consumer goods, automating demand forecasting, inventory optimization, and replenishment through its AI agent “Agnes.”
- **Entity Type**: Private (Pre-seed / Y Combinator S24)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024 (per Y Combinator) / 2023 (per LinkedIn – conflicting reports)
- **Founders**: Leon Hergert (Co‑founder & CEO), Pascal Schindler (Co‑founder & CTO), Paul Dietrich (Co‑founder & CPO)

## Core Business
- **Primary industry**: Supply‑chain management software / AI for consumer goods (CPG)
- **Target customers**: Multi‑channel e‑commerce brands and CPG companies (B2B, mid‑market to enterprise)
- **Mission statement**: “Create a world where stockouts do not exist anymore – any product at the right place, at any time.”

## Products & Services
- **Agnes – AI Supply Chain Manager**: An AI agent that generates demand forecasts, recommends purchase orders and transfers, reads supplier emails for real‑time updates, and executes optimal plans across factories, warehouses, and channels. It replaces spreadsheets, MRP add‑ons, and manual work. [spherecast.ai](https://www.spherecast.ai/)
- **Spherecast Platform (Sandbox)**: A full‑featured sandbox environment that connects to existing ERP / data‑warehouse connectors (e.g., NetSuite, shop systems) within days. Users can simulate scenarios, adjust forecasts collaboratively, and approve actions with one click. Implementation averages two to three weeks. [spherecast.ai](https://www.spherecast.ai/)

## Market Standing
- **Valuation**: Not disclosed (private startup)
- **Key Metric**: Total funding of **$625,000** across multiple pre‑seed rounds (led by Y Combinator) [linkedin.com](https://www.linkedin.com/company/spherecast-ai)
- **Notable Investors/Partners**: Y Combinator (Summer 2024 batch, lead investor), Tom Blomfield (primary YC partner)
- **Growth Signals**:
  - Team grew from 7 to 8 employees (+11.1% YoY) [linkedin.com](https://www.linkedin.com/company/spherecast-ai)
  - Actively hiring for a Senior Backend Engineer (salary range $110K–$200K) [ycombinator.com](https://www.ycombinator.com/companies/spherecast)
  - Building “Agnes” as the first dedicated AI Supply Chain Manager for CPG, with a public launch in October 2025 [linkedin.com](https://www.linkedin.com/company/spherecast-ai)

## Competitive Advantages
- **Explainable AI**: Every recommendation shows the “why” and requires one‑click approval; forecast methods are transparent. [spherecast.ai](https://www.spherecast.ai/)
- **Hybrid human‑AI workflow**: AI baseline forecasts combined with human overrides in a single, consensus‑driven view. [spherecast.ai](https://www.spherecast.ai/)
- **Fast implementation**: Dedicated ERP/data‑warehouse connectors allow a sandbox to be set up “in days, not months.” [spherecast.ai](https://www.spherecast.ai/)
- **End‑to‑end automation**: Reads supplier emails, flags issues, auto‑updates ERP, and re‑optimizes flows when nodes (warehouses, co‑mans) are added. [spherecast.ai](https://www.spherecast.ai/)

## Strategic Focus
- **Current priority**: Expand from multi‑channel e‑commerce into broader CPG, scaling the AI agent to handle more complex supply chains and integrating with additional ERP systems.
- **Direction**: Build the “OS” for physical goods flow – planning, execution, and network optimization – making supply chains as programmable as code. [ycombinator.com](https://www.ycombinator.com/companies/spherecast)

## Why Work Here
- **Early‑stage impact**: Join a YC‑backed startup with 7–8 people; work directly on foundational technology (backend, ML, optimization) that shapes global consumer goods logistics.
- **Engineering culture**: The team is described as “computer scientists and supply chain experts” with a passion for deep optimization problems. [spherecast.ai](https://www.spherecast.ai/)
- **Work environment**: Hybrid workspace based in San Francisco (office + remote flexibility). [builtin.com](https://builtin.com/company/spherecast)
- **Compensation & growth**: Senior Backend Engineer role offers $110K–$200K + equity (typical YC package). Rapid career growth as the team scales.
- **Mission‑driven**: Opportunity to solve the $1.8 trillion inventory distortion problem and make stockouts obsolete.

## Sources
1. [spherecast.ai](https://www.spherecast.ai/) – Official website (product, mission, features)
2. [ycombinator.com](https://www.ycombinator.com/companies/spherecast) – Y Combinator company profile (founding date, team, jobs, batch)
3. [linkedin.com](https://www.linkedin.com/company/spherecast-ai) – LinkedIn page (headcount, funding, employees, posts)
4. [builtin.com](https://builtin.com/company/spherecast) – Built In profile (perks, culture, hybrid policy)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/spherecast) – Official careers page (job listings)

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