EPISODE · Jun 8, 2026 · 43 MIN
Designing the AI‑native engineering organization with 1Password, Microsoft and Atlassian
from Engineering Enablement by DX · host DX
Abi Noda is joined live at DX Annual by three engineering leaders shaping AI adoption at scale: Tim Bozarth, Corporate Vice President in Microsoft’s CoreAI division; Nancy Wang, CTO of 1Password; and Taroon Mandhana, CTO of AI and Teamwork at Atlassian. Together, they discuss how AI is changing engineering organizations, from team structures and planning cycles to hiring, governance, and measurement.The panel explores how the profile of a great engineer is evolving, why smaller cross-functional teams are becoming more effective, and what happens when product managers, designers, and customer support teams start contributing code. They also share why they are encouraging AI adoption through enablement, training, and local champions rather than mandates, and how AI is shifting more of the software development lifecycle toward planning and validation.Finally, they discuss where human judgment remains essential, how to measure adoption and manage token usage, and how to connect AI investments to business outcomes while preserving room for experimentation and learning.Where to find Nancy Wang: • LinkedIn: https://www.linkedin.com/in/wangnancyWhere to find Taroon Mandhana:• LinkedIn: https://www.linkedin.com/in/taroonmWhere to find Tim Bozarth: • LinkedIn: https://www.linkedin.com/in/tbozarthWhere to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro(01:08) Introducing the panelists(02:16) AI’s impact on engineering team structures and planning cycles(05:00) How the role of the engineer is changing and what makes a great engineer(10:11) The opportunities and challenges of non-engineers writing code(15:26) Encouraging AI adoption without mandating it(21:25) What an AI-native SDLC looks like and why human judgment still matters(30:56) Measuring AI adoption, token usage, and ROI(37:06) How to tie AI investments to business outcomesReferenced:• DX Core 4 Productivity Framework• Microsoft • 1Password• Atlassian• Jira• Confluence• Loom• Rovo • Amazon Operating Cadence - Working Backwards
What this episode covers
Abi Noda is joined live at DX Annual by three engineering leaders shaping AI adoption at scale: Tim Bozarth, Corporate Vice President in Microsoft’s CoreAI division; Nancy Wang, CTO of 1Password; and Taroon Mandhana, CTO of AI and Teamwork at Atlassian. Together, they discuss how AI is changing engineering organizations, from team structures and planning cycles to hiring, governance, and measurement.The panel explores how the profile of a great engineer is evolving, why smaller cross-functional teams are becoming more effective, and what happens when product managers, designers, and customer support teams start contributing code. They also share why they are encouraging AI adoption through enablement, training, and local champions rather than mandates, and how AI is shifting more of the software development lifecycle toward planning and validation.Finally, they discuss where human judgment remains essential, how to measure adoption and manage token usage, and how to connect AI investments to business outcomes while preserving room for experimentation and learning.Where to find Nancy Wang: • LinkedIn: https://www.linkedin.com/in/wangnancyWhere to find Taroon Mandhana:• LinkedIn: https://www.linkedin.com/in/taroonmWhere to find Tim Bozarth: • LinkedIn: https://www.linkedin.com/in/tbozarthWhere to find Abi Noda:• LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover:(00:00) Intro(01:08) Introducing the panelists(02:16) AI’s impact on engineering team structures and planning cycles(05:00) How the role of the engineer is changing and what makes a great engineer(10:11) The opportunities and challenges of non-engineers writing code(15:26) Encouraging AI adoption without mandating it(21:25) What an AI-native SDLC looks like and why human judgment still matters(30:56) Measuring AI adoption, token usage, and ROI(37:06) How to tie AI investments to business outcomesReferenced:• DX Core 4 Productivity Framework• Microsoft • 1Password• Atlassian• Jira• Confluence• Loom• Rovo • Amazon Operating Cadence - Working Backwards
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Designing the AI‑native engineering organization with 1Password, Microsoft and Atlassian
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