Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
Overhaul builds supply chain risk and in transit visibility software. Its models detect theft and temperature risk on shipments in real time. The company serves shippers of high value and pharmaceutical goods.
Technologies
Tech DNA
Python
AWS
Azure
GCP
AI/ML
Python
NumPy
Pandas
AWS
Azure
Datadog
GCP
Helm
Kubernetes
Terraform
Other
Power BI
LinkedIn
Salesforce
Stack modernity
77/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
Power BI
1 job
Required
Pandas
1 job
Required
NumPy
1 job
Required
Terraform
1 job
Required
GCP
1 job
Required
Helm
1 job
Required
Datadog
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
15%
AWS
11%
Azure
10%
Salesforce
9%
GCP
9%
Kubernetes
9%
Share of companies in the same industry that use each technology.
Stack changes
Salesforce
Sep 2026
LinkedIn
Sep 2026
Terraform
Sep 2026
Kubernetes
Sep 2026
Helm
Sep 2026
GCP
Sep 2026
Datadog
Sep 2026
Azure
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
diconium
Hitachi
Weekday
Citi
Snowflake
Bosch
Growth
Hiring Momentum
58/100
Growing
Open positions
3
0 opened / 0 closed in 30 days
ATS activity
Every ~14 hours
Today
Hiring Dynamics
+100%
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.
DevOps
33% ▲
Analytics
33% ▲
Sales
33% ▼
Activity Timeline
Added Salesforce to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
Added Terraform to stack
Sep 2026
Added Kubernetes to stack
Sep 2026
Added Helm to stack
Sep 2026
Added GCP to stack
Sep 2026
Added Datadog to stack
Sep 2026
Added Azure to stack
Sep 2026
Added AWS to stack
Sep 2026
Added Python to stack
Sep 2026
Added Power BI to stack
Sep 2026
Added Pandas to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
2
Countries
3
Busiest office
São Paulo
Austin
United States
HQ
São Paulo
Brazil
1 open roles 1 posted in 90 days 100% engineering 10-50 est. staff
hires for Analytics
Tlalnepantla
Mexico
1 open roles 1 posted in 90 days 100% engineering 100% remote 10-50 est. staff
hires for DevOps
Jobs
In office • Full-Time • São Paulo
Python
Pandas
NumPy
Analytics
Power BI
Apply
≈ $33k – $96k per year (Estimated) • Remote • Bachelor's Degree • Tlalnepantla
Python
Terraform
GCP
Helm
Datadog
Azure
AWS
Kubernetes
Apply