Jupiter Intelligence
jupiterintel.com
Actively hiring
Environmental Science
Geospatial AI
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$76.7M
2 rounds on record
Latest round
$53.8M
Venture round · Aug 2021 · 5 yr ago
Team
38
US Form 5500 (plan participants) · Dec 2025 · -7% in a year
Hiring now
1
+1 posted in 30 days
Backers
2
Elemental Impact, Energizecap
The money's age
Long since its last round
61 months since the last round · and hiring
Momentum
13/100
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
Aug 3, 2021
Raised a round Venture round $53.8M · SEC Form D
Feb 19, 2019
Raised a round Venture round $22.9M · SEC Form D
2017
Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Aug 2021 | $53.8M | — | SEC Form D |
| Venture round | Feb 2019 | $22.9M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | Jupiter Intelligence, Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Eric WunExecutive OfficerSEC Form D
Rich SorkinExecutive Officer, DirectorSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Elemental Impact 
Energizecap Similar startupsby what they do, their industry and backers
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Overview
Jupiter Intelligence is a company founded in 2017 that models physical climate risk for specific assets and time horizons. It combines climate science with machine learning to estimate flood, wind, heat, wildfire and drought exposure building by building, decades ahead. Banks, insurers, utilities and governments use the analytics for capital planning and regulatory disclosure.
News
How Extreme Weather Is Reshaping Credit Risk-and Opportunities-for Banks
Extreme weather is moving from a distant environmental concern to a direct financial risk for banks and other financial institutions, analysts from Jupiter Intelligence said during a recent ProSightwebinar. Risk managers increasingly recognize that hurric
Read more
Report
Joint Industry Statement from Europe's private providers on the future of climate services
This joint statement reflects the consensus of the private providers' community and is endorsed by 17 leading private climate service providers.
Read more
Report
Arcadis and Jupiter introduce PRICE framework
Arcadis and Jupiter Intelligence introduce PRICE framework to help organizations close the climate adaptation investment gap
Read more
Report
Tech stack
Technologies named in job postings at Jupiter Intelligence over the last 12 months, by layer, with the share of postings for each.
Technologies in use
19
Postings analysed
4
Stack modernity
72/100
Languages
Python
SQL
Frameworks & libraries
Pydantic
Pytest
Polars
Databases
PostgreSQL
Snowflake
Cloud & platforms
AWS
Amazon S3
Prefect
Azure
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Full Jupiter Intelligence tech stack
19 technologies · by team · pay by technology · changes · similar stacks
People
Eric Wun
Executive Officer
Rich Sorkin
Executive Officer, Director
Nick Sturiale
Director
Matt Ocko
Director
John Tough
Director
Andrew Klein
Director
Neal Wolin
Director
Katie McClain
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
85/100
Scaling fast
Open positions
1
2 opened / 3 closed in 30 days
Median time-to-fill
10 days
faster than 65% of the market
ATS activity
Every ~5 hours
09/28/2026
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.
Data Science
75% ▲
Customer Success
25% ▼
Actively hiring for Data Science (+3 in 30 days)
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added SQL to stack
Sep 2026
Added Snowflake to stack
Sep 2026
Added Pytest to stack
Sep 2026
Added Pydantic to stack
Sep 2026
Added Prefect to stack
Sep 2026
Added PostgreSQL to stack
Sep 2026
Added Git to stack
Sep 2026
Added ETL/ELT to stack
Sep 2026
Added Amazon S3 to stack
Sep 2026
Added Tableau to stack
Sep 2026
Added Salesforce to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
San Mateo
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Headquarters
Builds here
Office with open vacancies
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San Mateo
United States
HQ
1 open roles 3 posted in 90 days 100% engineering 100% remote 10-50 est. staff $120k Avg Salary
hires for Data Science
Bear
United States
Regional office
Independent investor with over 25 years at Blackstone, Bear Stearns and Mill Road Capital
Jobs
$100k – $120k per year • Remote (United States) • Contractor • San Mateo
Python
Polars
Time Series Forecasting
Machine Learning
DevOps
GCP
Azure
AWS
Docker
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