Post job

Explore jobs

Find specific jobs

Explore careers

Explore professions

Best companies

Explore companies

Working at Make Meaning

Zippia score 3.7

Overview

Revenue

Reviews

DemographicsCompetitorsCEO & Executives

Make Meaning overview

Industry
Retail
Revenue
$1.1M
Headquarters
Employees
31
Founded in
Website
Organization type
Private
Social media
Make Meaning is a membership-based destination for kids and adults to play games in the interactive crafting entertainment industry. It provides a wide assortment of creative activities or works with its experienced events team to plan the perfect party or event for friends, family, or colleagues.
Founded in 2007, Make Meaning is an established company that loves to hire graduates from Pace University, with 13.3% of its employees having attended Pace University. Want to compare Make Meaning to some other great places to work in New York, NY? We suggest taking a look at Zippia's list of Best Companies to Work For in New York, NY.
Make Meaning is a small retail company based in New York, NY with only 31 employees and an annual revenue of $1.1M.

In demand companies are hiring! Let Zippia apply for you!

Floating question marks illustration
-

Make Meaning employee reviews

Be the first to review!

Do you work at Make Meaning?

Help job seekers learn about working at Make Meaning

On this page

Be the first to review Make Meaning

Anonymously rate your employee experience

Your opinion can help other job seekers

Do you like working at Make Meaning?

The team at Make Meaning

  • The founders of Make Meaning is Daniel Nissanoff.
  • The key people at Make Meaning is Daniel Nissanoff.
Key people
Daniel Nissanoff

Rate the fairness of Make Meaning's compensation policies.

Zippia waving zebra

Make Meaning diversity

7.8
Diversity score
We calculated Make Meaningā€™s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Make Meaningā€™s workforce.
Make Meaning diversity summary. Zippia estimates Make Meaning's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated Make Meaning's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Make Meaning's workforce.
  • Make Meaning has 31 employees.
  • 69% of Make Meaning employees are women, while 31% are men.
  • The most common ethnicity at Make Meaning is White (58%).
  • 20% of Make Meaning employees are Hispanic or Latino.
  • 12% of Make Meaning employees are Black or African American.
  • The average employee at Make Meaning makes $32,174 per year.
  • Employees at Make Meaning stay with the company for 2.6 years on average.

Do you work at Make Meaning?

Were you satisfied with Make Meaning's salary and benefits?

Make Meaning financial performance

6.4
Performance score

Highest paying Make Meaning competitors

Compare Make Meaning salaries to competitors, including Ym Inc, Prada USA Corporation, and HOMAGE. Employees at Ym Inc earn the highest average yearly salary of $47,975. The salaries at Prada USA Corporation average $43,075 per year, and the salaries at HOMAGE come in at $39,961 per year.
RankCompanyAverage salaryJobs
1$47,9750
2$43,0750
3$39,9610
4$34,0960
5$32,8610
6$31,7800
7$31,7310

Are you an executive, HR leader, or brand manager at Make Meaning?

Claiming and updating your company profile on Zippia is free and easy.

Make Meaning FAQs

Have more questions? See all answers to common company questions.

Search for jobs

Related companies

Most in demand jobs

Related companies

Related company jobs

    Updated March 14, 2024

    Zippia gives an in-depth look into the details of Make Meaning, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Make Meaning. The employee data is based on information from people who have self-reported their past or current employments at Make Meaning. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Make Meaning. The data presented on this page does not represent the view of Make Meaning and its employees or that of Zippia.

    Make Meaning may also be known as or be related to Make Meaning, Make Meaning Corp., Make Meaning Inc. and Make Meaning, Inc.