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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How Way hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Way scores B on the Alion truth index (A is best, E worst), measured over 5 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Tech stack
Technologies named in job postings at Way over the last 12 months, by layer, with the share of postings for each.
Technologies in use
12
Postings analysed
4
Stack modernity
83/100
Languages
Python
SQL
Node JS
TypeScript
Frameworks & libraries
Nest.JS
Next.js
React.js
Databases
PostgreSQL
Cloud & platforms
GCP
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Full Way tech stack
12 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
28/100
Slowing
Open positions
8
0 opened / 0 closed in 30 days
ATS activity
Every ~3 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.
Data Science
50% ▲
Backend
50% ▲
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
Austin
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Headquarters
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Office with open vacancies
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Austin
United States
Regional office
7 open roles 2 posted in 90 days 43% engineering 50-200 est. staff
hires for Data Science, Customer Success, Backend
San Francisco
United States
2 open roles 2 posted in 90 days 100% engineering 10-50 est. staff
hires for Data Science, Backend
Jobs
≈ $156k – $288k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Nest.JS
Databases
PostgreSQL
Frontend
Next.js
React.js
DevOps
GCP
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≈ $131k – $260k per year (Estimated) • In office • Full-Time • Austin
Python
SQL
Machine Learning
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≈ $158k – $315k per year (Estimated) • In office • Full-Time • San Francisco
Python
SQL
Machine Learning
Apply
≈ $113k – $230k per year (Estimated) • In office • Full-Time • 3+ years exp • Austin
Apply
≈ $114k – $222k per year (Estimated) • In office • Full-Time • 7+ years exp • Austin
Python
SQL
Snowflake
Databricks
Apache Iceberg
Delta Lake
Apache Kafka
Google BigQuery
Amazon Redshift
Apache Hudi
BigQuery
AI/ML
Airflow
Dagster
Prefect
Feature Store
DevOps
Terraform
GCP
CloudFormation
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Amazon Kinesis
Cybersecurity
GDPR
Analytics
ETL/ELT
A/B Testing
Dimensional Modeling
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