Diversity and inclusion at Atlassian


At Atlassian, we stand for teams. We believe behind every great achievement, there is a team. It's teams that landed the Rover on Mars, built the first electric car and developed aural implants that allow people to hear for the first time. That's why we focus every day on unleashing the potential in every team. That includes our own.

Genius happens when people from different backgrounds come together to tackle tough challenges. Diverse and inclusive teams drive innovation and greater individual and team performance. We know that intuitively and the research backs it up. That's why we decided to focus our diversity report on what matters most: teams.

We decided to look more broadly at the diversity within our teams. You'll see more categories, in more detail. This allows us to understand--and be transparent about--our areas of greatest strength and weakness. It allows us to discover if people from different backgrounds and identities actually interact. It lets us adapt our programs to meet the specific needs of our teams. To diversify our approach, if you will.

We also decided to show you data at the company level, but think it's only part of the story. An increase in representation doesn't necessarily mean an increase in diversity. That's a critical distinction to make. If diversity is concentrated in a few teams, we're unlikely to realize the benefits.

We're also excited to share with you the framework we've been using to think about diversity. We're calling it 'n-Space'. What does it mean? It means we recognize there are a limitless number of ways we can be different from each other. It's recognizing and celebrating those differences that will drive progress.

This framework is the only way to be truly inclusive. It's flexible enough to accommodate the standard categories we think of in this discussion, celebrate the uniqueness of Atlassians from well-represented groups, and factor in how different aspects of our identity overlap to influence our experiences. It's only by embracing the complexity of this issue that we can achieve a simple goal: to reach our potential.

So how are we doing?

While we're not yet where we want to be, we are moving in the right direction. In the last year, we made changes that allowed us to create the most diverse group of Atlassians yet. We partnered with outside organizations to source new talent and standardized our interview process. We offered training on unconscious bias. We formed new employee resource groups to create communities for Atlassians all over the world.

Those efforts drove improvements in "the numbers", but they're a lagging indicator. This year's engineering interns--tomorrow's Atlassians--were 46% women. We more than doubled the number of Black and Latin@ Atlassians in our U.S. offices. We're confident we're laying the foundation for even greater success in the future.

We'll keep you updated as we go.

Cheers,
Mike & Scott


Team diversity highlights

 

DEPARTMENT TOTAL TEAMS AVERAGE OFFICE* REPRESENTED 1 OR MORE
WOMAN
1 OR MORE
PERSON 40+
1 OR MORE BLACK / AFRICAN AMERICAN 1 OR MORE
HISPANIC / LATIN@
Customer Support 20 2 70% 65% 36% 27%
Finance 5 3 100% 100% 0% 20%
HR 3 4 100% 100% 0% 33%
IT 23 2 65% 70% 13% 6%
Legal 3 2 33% 100% 0% 0%
Marketing 27 2 85% 70% 0% 4%
Software 77 2 66% 53% 15% 5%
Company 158 2 71% 63% 11% 10%

 

Data excludes “teams” of one. Race data only available for U.S.-based team members.
*Represents average number of offices in different countries.
Have questions about our data? Check out our methodology here.


Team averages by department

Stats represent average percent per team within each department. For example, the average team in IT is composed of 8 people, 20% of whom are women, 22% are 40+, etc.

 

DEPARTMENT TEAM SIZE WOMAN AGE 20-29 AGE 30-39 AGE 40+ REM* MEMBERS
Customer Support 10 32% 25% 55% 20% 40%
Finance 18 55% 31% 50% 19% 28%
HR 32 67% 35% 46% 18% 19%
IT 8 20% 20% 58% 22% 25%
Legal 5 22% 4% 44% 52% 14%
Marketing 7 42% 32% 43% 26% 28%
Software 10 21% 34% 51% 15% 28%
Company 10 28% 30% 51% 19% 28%

 

Data excludes “teams” of one. Race data only available for U.S.-based team members.
REM*: Racial and/or ethnic minorities. 
Have questions about our data? Check out our methodology here.


Company stats

Have questions about our data? Check out our methodology here.

Women in the workforce

  

TOTAL WORKFORCE

29% of 12-month hiring

Gender - Women in tech roles - Atlassian Diversity .svg

TECHNICAL

17% of 12-month hiring

LEADERSHIP

28% of 12-month hiring

Race and/or ethnic identity

Race data only available for U.S.-based team members.

WHITE

68% of 12-month hiring

ASIAN

18% of 12-month hiring

BLACK OR AFRICAN AMERICAN

2% of 12-month hiring

HISPANIC OR LATIN@

9% of 12-month hiring

TWO OR MORE RACES

2% of 12-month hiring

NATIVE AMERICAN, NATIVE HAWAIIAN OR PACIFIC ISLANDER, AND ALASKAN

0% of 12-month hiring

Age - Atlassian Diversity.svg

Age

  

LGBTI*

Categories are not mutually exclusive.

GENDER IDENTITY

SEXUAL ORIENTATION

International Representation

Employees on work visas.

 

Join the team

Our team’s great, but we’ve got room for one more if you’re interested. 

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