Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

A bit about us. Who we are, and why are we unusual. Everything we do FOR THE GOOD OF THE PEOPLE from a human-centered perspective for creating value.

News

Report
News nautil.us 1 month ago
Why the Recent Total Eclipse Looked Unusual - Nautilus
The corona in Spain was particularly golden
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News NPR 2 months ago
Trump officials cut political interference ban after unusual Census Bureau report
After the Census Bureau issued a report tied to a Trump-aligned think tank, the bureau's parent agency cut language banning political interference from its scientific integrity policy, NPR learned.
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News CNBC 2 months ago
This drone parts maker has doubled in 2026, but is 'very early' in its journey, Piper Sandler says
Unusual Machines is likely to keep rallying, as its business still has a lot of room to grow, according to Piper Sandler.
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News theregister 2 months ago
LexisNexis pulls three services offline after suspicious server activity
Customers say issues began Wednesday and still not resolved
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News lancaster.ac.uk 3 months ago
Extreme Value Theory: Looking for the unusual
Whether we're famous statisticians or just regular people, we look towards the majority. We even have terms for this, like groupthink. Traditionally, statisticians take data and focus their analysis on the majority of the data. But what if we didn't want
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News utcc.utoronto.ca 3 months ago
You're using a too-old browser Read more
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Tech stack

Technologies named in job postings at Unusual over the last 12 months, by layer, with the share of postings for each.
Technologies in use
49
Postings analysed
12
Stack modernity
84/100AI adopter
Languages
TypeScript25%
Python17%
C++8%
Go8%
Frameworks & libraries
ROS8%
React.js8%
SGLang8%
Triton8%
Cloud & platforms
Datadog17%
Kubernetes8%
Linux8%
VMWare8%
AI & ML
LLM33%
ChatGPT8%
Claude8%
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Full Unusual tech stack 49 technologies · by team · pay by technology · changes · similar stacks

Salary insights

Compensation ranges based on this company's open jobs
Median
$200k
Typical range
$200k
Open positions
1
1 Jobs
Middle 100%
Level Jobs Median Typical range
Middle 1 $200k $200k
Highest paying role Founding Product Marketer - Lithos Ai $200k
Normalized to USD per year

Growth

Hiring Momentum
37/100
Slowing
Open positions
9
0 opened / 0 closed in 30 days
Median time-to-fill
82 days
faster than 15% of the market
ATS activity
Every ~5 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.
Marketing
43% ▼
Backend
29% ▲
AI/ML
14% ▲
Finance
14% ▲
Activity Timeline
New location: Menlo Park Oct 2026
Added Model Context Protocol to stack Sep 2026
Added Claude to stack Sep 2026
Added ChatGPT to stack Sep 2026
Added Linux to stack Sep 2026
Added Multi-Agent Systems to stack Sep 2026
Added Context Engineering to stack Sep 2026
Added OCR to stack Sep 2026
Added Datadog to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
4
Hiring now
4
Countries
1
Busiest office
San Francisco
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Headquarters Builds here Office with open vacancies Tap a pin for the office
San Francisco United States
Regional office
3 open roles 3 posted in 90 days 33% engineering $200k Avg Salary
hires for AI/ML, Administrative, Marketing
seen since Dec 2025 job postings
New York United States
Regional office
3 open roles 3 posted in 90 days 67% engineering
hires for Backend, Marketing
seen since Aug 2026 job postings
Boston United States
1 open roles 100% engineering
hires for AI/ML
seen since Feb 2026 job postings
Menlo Park United States
1 open roles 1 posted in 90 days
hires for Finance
seen since Sep 2026 job postings

Jobs

≈ $151k – $292k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • San Francisco
Python
TypeScript
Function Calling
LLM
Apply
≈ $171k – $319k per year (Estimated) • In office • Full-Time • New York
OCR
DevOps
Datadog
Apply
≈ $179k – $334k per year (Estimated) • In office • Full-Time • New York
Function Calling
LLM
Context Engineering
Multi-Agent Systems
DevOps
Datadog
Apply
≈ $152k – $315k per year (Estimated) • In office • Full-Time • 12+ years exp • Boston
Python
TypeScript
Function Calling
AI Agents
LLM
RAG
Hallucination
Knowledge Graph
Agentic Workflows
Apply