AI is Here to Stay—How Should Engineering Teams Evolve?
speakers
Timothy Lee is a co-founder and Chief Learning Officer of CodePath, a 501(c)(3) nonprofit that is reprogramming higher education to create the most diverse generation of software engineers, CTOs, and founders. CodePath delivers industry-vetted courses and career support centered on the needs of Black, Latino/a, Indigenous, and low-income students. CodePath students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow.
Prior to CodePath, Tim was a co-founder and CTO of Miso, an innovative tech company funded by Google Ventures and Khosla Ventures, which was later acquired by Dijit Media. Prior to co-founding Miso, Tim worked as a real-time embedded systems engineer in various San Francisco Bay Area startups.
Tim holds a bachelor’s degree in Computer Engineering from the University of Texas at Austin, as well as a master’s degree in Electrical Engineering from Stanford University.
Darva Satcher brings over 25 years of software development and engineering leadership experience to
her role as Director of Engineering at GitLab. In this position, she oversees five critical engineering
teams that power core developer workflows:
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Code Review: Managing merge requests and developer collaboration features
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Source Code Management: Overseeing Git operations and repository management systems
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Import: Enabling seamless project migrations from other platforms
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Package Registry: Managing artifact storage and distribution infrastructure
As a champion of AI transformation, Darva spearheads AI productivity initiatives across GitLab's Engineering organization, having led teams that built GitLab's first generation of AI tools. She drives adoption of AI and agentic tools throughout the engineering organization to boost team efficiency and developer productivity.
Her 11-year tenure at the National Institute of Standards and Technology (NIST) provided deep experience in government technology transformation. At NIST, she managed multiple development teams creating enterprise SharePoint solutions and C# applications for scientific data management and collaboration. One of her significant achievements was leading the organizational shift from traditional Waterfall methodologies to Agile/Scrum practices, transforming how teams delivered software while maintaining the rigorous standards required in a federal environment. This experience taught her how to navigate complex stakeholder relationships and implement change in large, established Organizations.
Darva's unique perspective on distributed team leadership comes from managing teams 100% remotely since 2011, long before remote work became mainstream. This experience has given her deep insights into building cohesive, high-performing teams across time zones and cultures.Her career foundation began at IBM as a Computer Engineer, where she built microprocessors and maintained simulation environments for the AS400 Microprocessor. This hands-on technical experience, combined with her subsequent roles at Acumen Solutions and throughout her career, has given her the technical depth to effectively lead engineering teams through complex challenges.
A passionate educator and mentor, Darva authored the Udemy course "How to Succeed as a New Tech Manager" and serves as a Corporate Advisory Board Member for Code2College, working to increase STEM participation among underserved students. Her commitment to continuous learning and developing the next generation of technical leaders makes her a respected voice on the future of engineering leadership in the age of AI.
Manoj Mohan is a seasoned engineering executive with experience leading large-scale software, data, and AI platform transformations across some of the world’s most respected technology companies, including Intuit, Meta, Apple, and Cloudera.
He specializes in modernizing data stacks, scaling AI/ML platforms, and architecting cloud-native systems that support billions of transactions and power real-time intelligence across fintech, SaaS, and consumer domains. Passionate about empowering engineers and simplifying complex infrastructure, Manoj brings a pragmatic lens to innovation. He is also deeply invested in responsible AI, developer experience, and scaling teams across global geographies.
Outside of work, Manoj is an avid advocate for healthspan and longevity, exploring how technology, data, and daily systems can extend human potential, both in how we live and how we build.
SUMMARY
More than 25% of all new code at Google is now AI-generated—and that number continues to grow. As AI infiltrates everything from technical interviews to developer workflows, the traditional measures of engineering potential, performance, and productivity are rapidly becoming obsolete.
Engineering leaders are under pressure to adapt: redefining roles, skills, and team structures to ensure their organizations are optimally structured to work with, and not against AI.
Join Tim Lee, Co-Founder & Chief Learning Officer at CodePath, along with engineering leaders from GitLab and Intuit, for a candid discussion on how AI is fundamentally shifting the role of developers—and next steps for leaders to future-proof their teams.
Key Takeaways:
Hiring & Evaluating Talent in the AI Era – If AI can cheat through your technical interviews, how do you spot real engineering talent? Redefining Team Structures & Collaboration – What’s left for your teams when AI takes over the grunt work — and how should teams be reorganized around that? Upskilling for an AI-Driven Future - In a world where AI learns faster than we do, what’s the one skill every engineer must master to stay relevant?
