Cozmo AI
hellocozmo.ai
Actively hiring
Property & Casualty Insurance
AI Agents
View 3 jobs
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
51-200
employees, estimated range
Hiring now
4
+2 posted in 30 days
Backers
1
Y Combinator
Momentum
20/100
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
Tractionpublic signals, read monthly
Web presence
top 7%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers
Headquartered in Richmond (Glen Allen), Virginia, United States, Richmond National is a specialty property and casualty insurance company…
One conversation about what your business does. We shop 100+ carriers and your licensed broker calls back within the hour.
MSIG USA is a commercial property and casualty insurer based in Warren, New Jersey, offering property, casualty, workers compensation…
Strala is an AI-native third-party administrator for property and casualty claims that combines agentic AI with expert human oversight. It…
Liberate is the AI-powered System of Action for Insurance. Handle 100% of calls 24/7, automate claims, and deliver 5-star service with zero…
Fast, affordable landlord insurance for rental property owners and investors. Covers property damage, liability and loss of rent. Get a…
Tech stack
Technologies named in job postings at Cozmo AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
11
Postings analysed
6
Stack modernity
76/100AI adopter
Languages
Python
TypeScript
SQL
Cloud & platforms
Spark
AI & ML
LLM
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Full Cozmo AI tech stack
11 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$170k
Typical range
$80k – $240k
Open positions
4
1
Jobs
Junior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $240k | $240k |
Highest paying role
Applied ML Engineer
$240k
Normalized to USD per year
Growth
Hiring Momentum
78/100
Scaling fast
Open positions
4
2 opened / 2 closed in 30 days
Median time-to-fill
60 days
faster than 23% of the market
ATS activity
Every ~3 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.
Product
33%
Solutions
33%
AI/ML
17% ▼
Sales
17% ▲
Activity Timeline
Added Tool Use to stack
Sep 2026
Added LLM Guardrails to stack
Aug 2026
Added Function Calling to stack
Aug 2026
Added SQL to stack
Aug 2026
Added Spark to stack
Aug 2026
Added dbt to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
New York
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Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
San Francisco
United States
HQ
New York
United States
Regional office
4 open roles 6 posted in 90 days 25% engineering 50-200 est. staff $165k Avg Salary
hires for AI/ML, Product, Sales
Jobs
$100k – $140k per year • Equity 0–2% • In office • Full-Time • New York
Python
TypeScript
AI Agents
LLM Guardrails
DevOps
SLI/SLO/SLA
Marketing
Zendesk
YouTube
Apply
$100k – $200k per year • Equity 0.1–2% • In office • Full-Time • New York
Python
TypeScript
Function Calling
LLM
Tool Use
DevOps
SLI/SLO/SLA
Marketing
Zendesk
Apply
$100k – $240k per year • Equity 0.2–1% • In office • Full-Time • 2+ years exp • New York
Python
SQL
Spark
dbt
Function Calling
LLM
Tool Use
DevOps
SLI/SLO/SLA
Apply