Lantern
lanternstudios.com
Actively hiring
AI Consulting & Integration
Enterprise Apps Implementation Partners
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How Lantern hires
Truth index
B 83/100
Median time to fill
70 days
Ghost roles
0%
Stale roles
50%
Reposted roles
0%
Lantern scores B on the Alion truth index (A is best, E worst), measured over 6 open roles re-checked against its own hiring board: 0% look like ghost listings, 50% have gone stale and 0% are the same role posted again. Its roles close in a median of 70 days. 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
News
I spotted an unexpected cameo in 'Lanterns' episode 6 - here's how their appearance could set up a major Green Lantern storyline in the DCU
Lanterns' latest episode introduces us to someone with major ties to Hal Jordan in DC Comics.
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Lanterns Episode 6 introduces a new Green Lantern as John returns to Rushville - recap ahead
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Part 2: You Own the Portfolio. So Why Does It Take Days to See How It's Doing?
Part 1 of this series made the case that the data infrastructure gap - not the AI model - is what limits most PE firms. The data exists. The systems exist. The problem is that no single layer connects them, which means any question crossing system boundar
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Part 1: Your AI Can't Read Your Deal Pipeline. Here's Why.
The Demo Always WorksI've watched this scene play out more than once. A PE firm brings in a vendor - or asks their existing software provider - for an AI demo. The pitch is compelling. The model flags anomalies across data room documents, surfaces cross-p
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GitHub programmer ports playable Doom to DSLR camera with 3-inch TFT LCD display - Canon EOS 550D with open-source Magic Lantern firmware uses camera
Can you finish the game before the camera runs out of power?
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Tech stack
Technologies named in job postings at Lantern over the last 12 months, by layer, with the share of postings for each.
Technologies in use
53
Postings analysed
10
Stack modernity
80/100AI adopter
Languages
Python70%
SQL30%
C#20%
JavaScript20%
Frameworks & libraries
LangChain20%
LangGraph20%
Databases
MS SQL20%
Delta Lake10%
Cloud & platforms
Azure80%
Microsoft Fabric50%
Power BI50%
Databricks40%
AI & ML
LLM30%
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Full Lantern tech stack
53 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$180k
Typical range
$160k – $180k
Open positions
3
3
Jobs
Senior
33.3%
Staff
33.3%
Architect
33.3%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $160k | $160k |
| Staff | 1 | $180k | $180k |
| Architect | 1 | $180k | $180k |
Highest paying role
Delivery Manager
$180k
Normalized to USD per year
Growth
Hiring Momentum
49/100
Stable
Open positions
8
3 opened / 5 closed in 30 days
Median time-to-fill
70 days
faster than 22% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
0%
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
25% ▲
Data Science
25% ▲
Solutions
25% ▲
Backend
13% ▼
Sales
13% ▼
Activity Timeline
Added Kanban to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
8
Hiring now
4
Countries
2
Busiest office
Dallas
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Headquarters
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Office with open vacancies
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Dallas
United States
Plant / site
Atlanta
3 open roles 4 posted in 90 days 100% engineering 1000-5000 est. staff $160k Avg Salary
hires for AI/ML, Data Science
Edmonton
Canada
Regional office
Edmonton
3 open roles 3 posted in 90 days 67% engineering 1000-5000 est. staff $180k Avg Salary
hires for AI/ML, Data Science, Solutions
Suite 2250, Tower 1, Rice Howard Place, 10060 Jasper Ave NW,
Calgary
Canada
Calgary
1 open roles 100% engineering 500-1000 est. staff
hires for AI/ML
Toronto
Canada
Regional office
Toronto
1 open roles 1 posted in 90 days 500-1000 est. staff
hires for Solutions
Portland
United States
Regional office
Portland
Denver
United States
Regional office
Denver
1800 Wazee St.
New York
United States
Regional office
New York
368 9th Avenue,
Fort Worth
United States
Regional office
Dallas Fort-Worth
7500 Dallas Pkwy,
Jobs
≈ $90k – $180k per year (Estimated) • In office • 7+ years exp • Toronto
Databricks
Microsoft Fabric
AI/ML
AI Agents
Machine Learning
DevOps
Azure
Analytics
Power BI
Management
Agile
Scrum
Kanban
Apply
$110k – $160k per year • In office • 5+ years exp • Dallas
Python
SQL
pySpark
Databases
Databricks
Microsoft Fabric
AI/ML
Spark
Machine Learning
DevOps
Azure
CI/CD
Analytics
Power BI
ETL/ELT
Dimensional Modeling
Apply
$130k – $180k per year • In office • Edmonton
Python
SQL
pySpark
Databases
Databricks
Microsoft Fabric
AI/ML
Spark
Machine Learning
DevOps
Azure
CI/CD
Analytics
Power BI
Apply
$130k – $180k per year • In office • Edmonton
Microsoft Teams
SharePoint
Agile
Scrum
Apply
≈ $122k – $261k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Edmonton
Python
LangGraph
LangChain
Model Context Protocol
Fine-tuning
Embeddings
Prompt Engineering
AI Agents
Semantic Kernel
LLM
RAG
OpenAI
Edge AI
Multi-Agent Systems
DevOps
Azure
CI/CD
Apply
≈ $81k – $159k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Calgary
Python
LangGraph
LangChain
Model Context Protocol
Fine-tuning
Embeddings
Prompt Engineering
AI Agents
LLM
RAG
OpenAI
Edge AI
DevOps
Azure
Docker
Kubernetes
Apply
≈ $132k – $273k per year (Estimated) • In office • Bachelor's Degree • Dallas
Python
C#
pySpark
Databases
Databricks
Azure SQL Database
AI/ML
Spark
OpenAI
Machine Learning
DevOps
Azure DevOps
Azure
GitHub
Analytics
Azure Data Factory
Management
Power Automate
Apply
≈ $113k – $215k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • Dallas
Python
JavaScript
TypeScript
C#
Blazor
AI/ML
OpenAI
Machine Learning
Frontend
Vue.js
Angular
React.js
DevOps
Terraform
Azure DevOps
GitHub Actions
Azure
Platform Engineering
Bicep
Apply