
Rajeev Rajan
CTO at Atlassian responsible for Engineering, IT, Security and Trust, and Engineering Operations, with prior leadership roles at Meta and Microsoft and experience building large-scale cloud infrastructure.
Top 3 podcasts with Rajeev Rajan
Ranked by the Snipd community

22 snips
Dec 17, 2025 • 47min
How Atlassian built Rovo in 6 months: systematizing developer joy, autonomy/ownership, productivity champions & reducing ship time w/ Rajeev Rajan #240
Rajeev Rajan, CTO at Atlassian and a veteran from Meta and Microsoft, reveals how he transformed Atlassian's engineering culture to prioritize 'developer joy'. He discusses the incredible feat of reducing ship time from 120 days to zero for their new AI app, Rovo. Rajeev shares insights on empowering teams with autonomy, creating community productivity champions, and aligning on company-wide OKRs. He also hints at future innovations like better browser UX and the potential of AI for personalized applications.

Apr 15, 2025 • 21min
3243: How Atlassian CTO Turned Developer Joy Into a Performance Metric
In this discussion with Rajeev Rajan, the CTO of Atlassian and a leader in engineering innovation, the focus is on prioritizing 'developer joy' as a key performance metric. Rajeev reveals how measuring developers' satisfaction boosted productivity from 49% to 75%. He explains this cultural shift supports rapid developments like Rovo, Atlassian's ambitious AI product, all while fostering an empowered engineering culture. They also explore India's significant role in global AI and software development, emphasizing trust in local teams and the value of creativity.

Apr 15, 2024 • 41min
Cultivating Developer Joy with Rajeev Rajan, CTO at Atlassian
Rajeev Rajan, CTO at Atlassian, discusses how he promotes developer joy and transforms Atlassian. Topics include enhancing developer productivity, onboarding engineers effectively, transitioning to a managerial role, leadership principles, mentoring team members, generational shifts in the workforce, and Atlassian's integration of large language models.


