Engineering at AI Scale: How Connected Workflows Unlock Velocity, Visibility, and Governance
Let’s evolve the way we view AI. Not just as a tool but as the foundational model and operating system for your organization. This session explores how engineering leaders can move beyond fragmented tools toward a unified, AI-native system that drives connected workflows and long-term scale.
Teamwork Collection is the operating system you need to scale AI across your organization. AI is most effective when it it is not just a tool, but an intentional leadership strategy.
Teamwork Collection are the tools, systems, and designs that enable engineering leaders to:
- scale AI responsibly,
- unlock measurable productivity gains,
- build and maintain trust, visibility, and governance across technical teams.
Join this webinar to lead the shift from fragmented AI features to governed, scalable architecture. Implementing AI needs to evolve from a discussion of tools into conversation about connected workflows and operating-models.
发言人
Partha Kamal
Product Manager Leader, Atlassian
Partha Kamal 是企业级应用的产品管理负责人，常驻旧金山。他在 Atlassian 任职超过 17 年，曾是该公司云迁移业务的首任负责人。在任职期间，他历任组织多个关键岗位，不仅成为 Atlassian 真正的“权威专家”，更精通我们全线产品和部署，现全面负责企业级应用战略。Partha 始终致力于倾听并落实客户反馈，他最为推崇的 Atlassian 价值观是“躬身力行，成己所欲”。
Tanya Chen
HoE, Work Management
Tanya Chen, a seasoned engineering professional, recently commemorated her two-year milestone at Atlassian, where she serves as the VP of Engineering for Teamwork Collection group.Tanya has been recognized for her leadership skills and her ability to guide teams toward significant milestones. Her professional philosophy, centered on quality, data-driven decision-making, and strategic prioritization, has been instrumental in shaping successful product outcomes. Outside of her professional pursuits, Tanya finds joy in her role as a devoted mother of two boys and enjoys family adventures, outdoor exploration, and the pursuit of new knowledge.
