Multiply Labs
multiplylabs.com
Actively hiring
Laboratory & Pharmaceutical Robotics
Biotechnology
As featured in
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$41.2M
4 rounds on record
Latest round
$11.1M
Convertible Note · Apr 2023 · 3 yr ago
Team
40
US Form 5500 (plan participants) · Dec 2025 · +18% in a year
Hiring now
7
+2 posted in 30 days
Backers
2
Y Combinator, Garage Capital
The money's age
Long since its last round
42 months since the last round · and hiring
Momentum
11/100
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
Apr 10, 2023
Raised a round Convertible Note $11.1M · SEC Form D
Oct 27, 2018
Raised a round Venture round $25M · SEC Form D
Oct 27, 2018
Raised a round Convertible Note $2.3M · SEC Form D
Jun 6, 2016
Raised a round Venture round $2.8M · SEC Form D
Jun 2016
Went through Y Combinator
2016
Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Convertible Note | Apr 2023 | $11.1M | — | SEC Form D |
| Convertible Note | Oct 2018 | $2.3M | — | SEC Form D |
| Venture round | Oct 2018 | $25M | — | SEC Form D |
| Venture round | Jun 2016 | $2.8M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | Multiply Labs, Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Federico PariettiExecutive Officer, DirectorSEC Form D
Alice MelocchiExecutive OfficerSEC Form D
Jason ArcedianoExecutive OfficerSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator 
Garage Capital Investors in similar startupsfunds that back the companies most like this one
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How Multiply Labs hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Multiply Labs scores B on the Alion truth index (A is best, E worst), measured over 4 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
Overview
Multiply Labs is a biomanufacturing technology and physical AI robotics company headquartered in San Francisco, California. Founded in 2016 by CEO Fred Parietti and Alice Melocchi (originating out of MIT and Y Combinator), the venture-backed enterprise operates on a B2B technology platform, hardware leasing/sales, and joint development commercial model for biotechnology and pharmaceutical companies.
News
Report
Tech stack
Technologies named in job postings at Multiply Labs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
21
Postings analysed
9
Stack modernity
75/100
Languages
Python
Frameworks & libraries
ROS
Databases
DynamoDB
Cloud & platforms
Linux
Windows
AWS
AWS Lambda
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Full Multiply Labs tech stack
21 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$210k
Typical range
$78k – $500k
Open positions
7
6
Jobs
Junior
16.7%
Middle
16.7%
Staff
50%
Architect
16.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $500k | $500k |
| Middle | 1 | $135k | $135k |
| Staff | 3 | $210k | $185k – $230k |
| Architect | 1 | $320k | $320k |
Highest paying role
NPI Manufacturing Engineer
$500k
Normalized to USD per year
All salaries at Multiply Labs
By role, level and city, against the market · 7 jobs with pay
People
Federico Parietti
Executive Officer, Director
Alice Melocchi
Executive Officer
Jason Arcediano
Executive Officer
Joseph Wilson
Director
Tiffany Kuo
Director
Michael Doherty
Director
Shaun Rodriguez
Director
Krishnan Viswanadhan
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
73/100
Growing
Open positions
7
2 opened / 2 closed in 30 days
Median time-to-fill
53 days
faster than 26% of the market
ATS activity
Every ~4 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.
Robotics
40% ▼
DevOps
20% ▲
Legal
20% ▲
Industrial Engineering
20% ▲
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added Windows to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Vision-Language-Action to stack
Sep 2026
Added Google Workspace to stack
Sep 2026
Added GCP to stack
Sep 2026
Added Rest-Assured to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
New location: Milan
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
7 open roles 5 posted in 90 days 43% engineering 50-200 est. staff $263k Avg Salary
hires for DevOps, Robotics, Leadership
Milan
Italy
1 open roles 100% engineering 10-50 est. staff $78k Avg Salary
hires for Robotics
Earlier presence
Los Angeles, United States
Jobs
$175k – $230k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
DynamoDB
Mobile
Clean Architecture
DevOps
Terraform
CloudFormation
CI/CD
AWS
Docker
Kubernetes
SRE
AWS Lambda
Linux
VPN
Cybersecurity
ISO 27001
SOC 2
Least Privilege
Robotics
Imitation Learning
Apply
$56k – $78k per year • In office • Full-Time • Master's Degree • Milan
Python
Git
Windows
Robotics
ROS
Apply
$250k – $320k per year • In office • Full-Time • 15+ years exp • San Francisco
Motion Planning
Imitation Learning
Apply
$160k – $210k per year • In office • Full-Time • 5+ years exp • Master's Degree • San Francisco
Python
Reinforcement Learning
Computer Vision
PyTorch
Vision-Language-Action
Machine Learning
Robotics
ROS
ROS2
PyBullet
MoveIt
Isaac Sim
MuJoCo
Model Predictive Control
Imitation Learning
Reinforcement Learning
Apply