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🗓️ 11 March ⏰ 12:00 SAST
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Adopting AI isn’t the question. Using it well without letting tech debt take over is.
Leandro Fernandez has spent the last 16 years building and leading software and machine learning teams at Uber, Meta, and Dell, where AI adoption and tech debt aren’t abstract ideas, they’re daily leadership trade-offs.
Whether you’re leading your first team, balancing tech skills with people leadership, or guiding teams through AI adoption, Leandro will share practical insights you can apply immediately.
🚀 From engineer to leader: Master mindset shifts, build confidence, and learn to influence without formal authority.
🚀 Learning from mistakes: Candid stories of tough calls and pivotal moments that shaped Leandro’s leadership approach.
🚀 Building thriving teams: Actionable tactics for structuring teams, fostering growth, and creating a culture of autonomy.
🚀 Driving AI adoption without creating a tech debt crisis: Practical guidance for introducing AI into everyday development while keeping technical debt, quality, and ownership under control.
Bring your questions and get ready to walk away with peer-tested frameworks, real mentorship, and strategies for tackling complex leadership challenges.
Leandro is an engineering manager with 15+ years of experience in tech. In the last 7 years, he's been focused at big tech, like Uber, where he lead the team responsible for Driver's Inn-app Video Recording. More recently, he's been working with machine learning for Privacy at Meta, helping the company abide to privacy regulations when training generative AI foundational models.
When not working, he can likely be spotted sweating off at a CrossFit box, or sweating in a glass of natural red from France or Italy.
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Salary discussions are some of the most critical discussions to happen between managers and employees – but often the constraints are already set in company wide budget meetings.
Managers who know how to advocate for their team members are better set up to navigate these budget conversations. A solid budget can make or break how satisfied your new hires and existing team members are with their compensation. To make matters even more complicated, salary is an individual experience that should be tackled on a case-by-case basis.
Should you match a counter offer? Should team members with similar roles earn the same? Making mistakes when it comes to salary can be really painful and can cost you high performing team members in the long run.
In this event, we’ll deep dive into these challenges to set you up to win in salary conversations with your tech team.
Join the conversation with fellow tech leaders to delve into:
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