
PackageX is an enterprise logistics platform that powers modern logistics operations in warehouses, stores, and final-mile buildings. Leveraging advanced AI scanning, bolt-on apps, and APIs, PackageX automates data entry and manual logistics processes, maximizes workforce productivity, and enhances operational visibility. Trusted by businesses worldwide, including CBRE, Hilton Grand Vacations, On Running, Ricoh, and Two Boxes, PackageX is transforming logistics workflows for a faster, more connected world.

PackageX is an enterprise logistics platform that powers modern logistics operations in warehouses, stores, and final-mile buildings. Leveraging advanced AI scanning, bolt-on apps, and APIs, PackageX automates data entry and manual logistics processes, maximizes workforce productivity, and enhances operational visibility. Trusted by businesses worldwide, including CBRE, Hilton Grand Vacations, On Running, Ricoh, and Two Boxes, PackageX is transforming logistics workflows for a faster, more connected world.
What they do: Vision-AI powered logistics platform that turns cameras into agents to automate receiving, inventory, fulfillment, and on-floor workflows.
Headquarters / origin: Founded in New York City in 2018
Customers: Enterprise customers including CBRE, Hilton Grand Vacations, On Running, Ricoh, Two Boxes
Size: Approximately 76 employees
Funding: Seed round closed May 18, 2023; multiple investors including Bullpen Capital and Sierra Ventures
Physical logistics operations: receiving, inventory, fulfillment, damage/exception detection, and last-yard package handling.
2018
Software Development
Round lists eight participating investors including Sierra Ventures, Pritzker Group Venture Capital, Pareto Holdings, NSV Wolf Management, m]x[v, Maccabee Ventures, and Ludlow Ventures.
“Seed backed by multiple institutional VCs including Bullpen Capital and Sierra Ventures”
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About PackageX PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.
We’re looking for a hands-on data scientist with experience in building scalable analytics and machine-learning systems, who is fluent in Python (Pandas, NumPy), SQL, and ML/DL frameworks such as TensorFlow, PyTorch or Keras, with practical knowledge of NLP, computer vision and modern modeling techniques. You should be comfortable building backend services and RESTful APIs using Django/Flask, working with Docker and Git/GitHub, and deploying on cloud platforms (AWS/GCP) while using SQL Server, MongoDB or similar DBMS. The role involves designing data models, ETL pipelines and data warehouses, integrating enterprise BI/visualization tools (Tableau, Power BI, Matplotlib/Seaborn), and applying repeatable automation, testing and CI/CD practices. Ideal candidates have experience on distributed engineering teams, can move quickly on bug fixes and enhancements, communicate clearly, bring innovative solutions to tough problems, and have weathered high-pressure projects with lessons learned.
You Will
We Are Looking For Someone Who Has
What can you expect from the application process? All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.