A

Atomic

AI-powered supply chain planning platform

Forward Deployed Engineer / Senior Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Relevant backgrounds include planning, supply chain, data engineering, management consulting, finance, and industrial engineering.
  • FDE candidates need at least 3 years of experience; Sr. FDE candidates need at least 6 years of experience.
  • Significant experience coding with AI while applying strict guardrails.
  • Comfort working directly with customers to turn business problems into software.
  • Willingness to do applied, hands-on work at startup speed across code, data, supply chain, finance, and operations.

Responsibilities

  • Own customer deployments end to end, doing technical work like the core engineering team while working client-facing and embedded across the whole problem.
  • Build automated, normalized pipelines on top of customers' messy real-world supply chain data.
  • Shape optimization logic and models to reflect how customers' businesses actually run.
  • Build interfaces and AI features that customers use to interact with and analyze plans.
  • Integrate Atomic with customers' systems and partner platforms.

Desired Qualifications

  • Experience in data science and machine learning.
  • Experience with supply chain or physical goods.

About the Company

Atomic

AI-powered supply chain planning platform

Atomic builds an AI-powered SaaS platform for supply chain planning that helps companies with physical products, with a focus on CPG, food and beverage, and apparel. Its end-to-end planning engine models supply and demand at unit and transaction levels, automates forecasting and inventory management, and runs planning scenarios while integrating with ERP and WMS to use real-time data. The platform uses agentic AI and simulation to generate automated recommendations and alerts, including demand and supply planning plus financial impact analysis with scenario versioning. Its goal is to reduce inventory costs, prevent stockouts, shorten planning time, and improve working capital by providing fast onboarding and data-driven, scenario-based planning.

Company size
11-50
Company stage
Series A
Total funding
$15.5M
Headquarters
New York City, United States
Founded
2023

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