Product Manager - Rovo

Atlassian•Seattle, WA

104d•$120,267 - $189,175•Hybrid

About The Position

We are seeking a Product Manager with a passion for AI-powered conversational experiences and a track record of building intelligent, scalable SaaS products. This role will focus on driving the vision, strategy, and execution of Rovo Chat, Atlassian's AI-driven conversational interface that helps teams discover knowledge, take action, and work smarter across their entire digital workplace. You will be part of the Central AI team and will play an important role in shaping how millions of users interact with AI across Atlassian's product suite.

Requirements

3-5 years as a Product Manager or in a similar role, with exposure to AI/ML-powered products, conversational systems, or search experiences.
Uses AI tools daily as a working method, not a novelty. Can prompt, iterate, and evaluate AI outputs to draft specs, analyze data, synthesize research, create prototypes, and unblock decisions without waiting for someone else to set it up. Treats AI as a first instinct, not a fallback.
Solid understanding of AI/ML concepts including LLMs, RAG pipelines, and conversational systems. Comfortable collaborating with data scientists and engineers on technical approaches.
Experience building and scaling SaaS products, ideally in collaboration, productivity, or developer tooling domains.
Strong communication and influencing skills, able to work effectively across customers, engineering, design, and leadership.
Skilled at gathering, prioritizing, and translating customer and business requirements into product strategies.

Responsibilities

Contribute to and execute the product vision and roadmap for Rovo Chat, aligning with Atlassian's AI strategy and user needs.
Identify and prioritize opportunities to grow Chat adoption and engagement (MAU), balancing user value with measurable business outcomes.
Drive the development of intelligent chat experiences that connect users to knowledge across first-party (Jira, Confluence, Bitbucket) and third-party (Google Drive, Slack, GitHub, Salesforce, etc.) sources.
Advance multi-turn conversation quality, context awareness, memory, and proactive assistance.
Partner with engineering, design, data science, GTM, and enterprise teams to deliver features from ideation through launch and iteration.
Operate with program-level rigor: run shiprooms, manage action items, and hold teams accountable to deadlines and quality bars.
Define and monitor success metrics for Chat quality (accuracy, groundedness, user satisfaction) and adoption.
Champion responsible AI practices, ensuring safe, transparent, and inclusive conversational experiences.