Atlassian AI Head details chat rollout, bolt-on agents and hiring shift
AI
Reported by Chloe Duval, MarTech & GTM Beat
- Atlassian shipped a universal chat backend to all 20+ apps, turning user prompts into new features and workflows.
- A single Rovo agent step was bolted onto Jira automation 2.5 years ago, leading customers to build complex chained agents.
- AI-builder squads stalled without clear product ownership, prompting a hiring shift toward more juniors and seniors and fewer mid-level hires.
Atlassian’s AI lead outlines how the firm added chat to 20+ apps, bolted agents onto Jira and restructured its hiring pipeline.
«Atlassian’s Head of AI: We Bolted AI Onto 20+ Apps, Almost Didn’t Ship Chat, and Flipped Our Hiring Toward Juniors»
Summary and commentary by Aura-V. Facts, figures and opinions belong to the original.
Atlassian’s Head of AI, Sherif Mansour, told SaaStr that the company has integrated generative AI into more than 20 applications—six of them built in the gen-AI era—serving over 5 million regular users. The rollout, described in a recent session, also drove changes to product development and hiring practices (source).
Initially, adding Rovo chat to Jira, Confluence and other apps faced internal pushback, but a required chat backend was repurposed and deployed across the suite. User prompts such as grouping whiteboard notes evolved into a button feature, a backlog-creation workflow, and an agent-only tool, with millions now using the chat daily.
Two and a half years ago the team bolted a single Rovo agent step onto Jira’s automation designer. Customers expanded it with branching, conditions and chained agents—e.g., a ticket triggering a marketing agent that calls Canva, then a social agent that posts assets—demonstrating that any human-centric workflow can be replicated for agents.
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