Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Team
51-200
employees, estimated range
Hiring now
2
+2 posted in 30 days
Backers
2
Headline, VU Venture Partners
Momentum
27/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 7, 2022 Released an app Buy&Ship · App Store
Tractionpublic signals, read monthly
App Store
4.6 ★
105 ratings
Backed byfrom the funds' portfolios and accelerator catalogs

Overview

Buyandship is a global parcel-forwarding and proxy-shopping service supporting purchases from popular shopping regions such as the United States, Japan and South Korea. It offers actual-weight billing, consolidated shipping and real-time tracking and hires customer service staff and AI engineers. The company is headquartered in Hong Kong.

Tech stack

Technologies named in job postings at Buyandship over the last 12 months, by layer, with the share of postings for each.
Technologies in use
12
Postings analysed
1
Stack modernity
90/100AI adopter
Languages
Python
SQL
Frameworks & libraries
FastAPI
Flask
NumPy
Pandas
Scikit-learn
Cloud & platforms
Kubernetes
Developer tools
Docker
AI & ML
LLM
Practices & domains
CI/CD
RAG
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Growth

Hiring Momentum
28/100
Slowing
Open positions
2
0 opened / 0 closed in 30 days
ATS activity
Every ~6 hours
Today
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▲
Customer Success
50% ▲

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Hong Kong
Hong Kong Hong Kong
HQ
2 open roles 2 posted in 90 days 50% engineering 50-200 est. staff
hires for AI/ML, Customer Success
seen since Oct 2026 job postings

Jobs

≈ $66k – $168k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Hong Kong
Python
SQL
Flask
FastAPI
AI/ML
Scikit-learn
Pandas
NumPy
LLM
RAG
DevOps
CI/CD
Docker
Kubernetes
Apply