PackageX

‍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.io

PackageX

packagex.io

HQUS

Team Size76

Open Jobs11

Total Funding-

Latest FundraiseUnknown

TL;DR

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

Company Overview

Problem Domain

Physical logistics operations: receiving, inventory, fulfillment, damage/exception detection, and last-yard package handling.

Founded

2018

Industry

Software Development

Funding Track Record

Seed- 2023-05-18

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.

Investor Signal

“Seed backed by multiple institutional VCs including Bullpen Capital and Sierra Ventures”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

PackageX

packagex.io

PackageX

packagex.io

HQUS

Team Size76

Open Jobs11

Total Funding-

Latest FundraiseUnknown

TL;DR

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

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Company Overview

Problem Domain

Physical logistics operations: receiving, inventory, fulfillment, damage/exception detection, and last-yard package handling.

Founded

2018

Industry

Software Development

Funding Track Record

Seed- 2023-05-18

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.

Investor Signal

“Seed backed by multiple institutional VCs including Bullpen Capital and Sierra Ventures”

Founders

What we do

Join the Team

Senior Data Scientist

On-SiteIslamabad, Islāmābād, PK

On-Site • Islamabad, Islāmābād, PK

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.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

InternshipBerlin, DE

Internship • Berlin, DE

AI Researcher

InternshipUtrecht, NL

Internship • Utrecht, NL

Product Designer

InternshipCambridge, GB

Internship • Cambridge, GB

Backend Developer

InternshipNew York, US

Internship • New York, US

Backend Developer

ContractJerusalem

Contract • Jerusalem

Software Engineer

Full-timeLondon, GB

Full-time • London, GB

Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics & machine learning capabilities.
Build out frameworks and services for our Machine Learning services, systems, and dashboards.
Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
Work with and help implement data models/data schema’s for data scientists & data analyst to build visualizations & statistical/predictive models.

At least 3+ years of experience working as a data scientist
Expertise in Python, SQL, Pandas, NumPy
Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch
Understanding about depth and breadth of computer vision, NLP and deep learning algorithms
Extensive expertise in Django, Flask
Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS & GCP
Been part of a distributed software engineering team
Experience with RESTful APIs and server-side APIs integration
Worked with Docker or other containerization software
Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms
Experience in designing Data Models (Data schema)
Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle
Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale
Been on at least one “death march” and know exactly why some things are to be avoided.
Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions
Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)
Experience Working with AI/Analytics teams
Worked for visualization development on Enterprise Tools (Tableau, Power BI)
Worked on integration of Enterprise BI tools
Understanding of data mining & machine learning concepts

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.