Presentation: Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

· Source: InfoQ · Field: Technology & Digital — Software Development & Engineering, Corporate Strategy & Leadership, Human Resources & Workforce Development · Depth: Advanced, extended

Summary

Thiago Ghisi, Director of Engineering for the Mobile Platform team at Nubank, outlines the critical organizational and leadership transformations required for engineering teams scaling from 30 to over 100 engineers. He details his personal career growth and the lessons learned over eight years in management, emphasizing the shift from direct performance management to building cohesive leadership teams and fostering long-term cultural vision. Ghisi introduces his "Three Levels of Impact" framework (Org, Skip-Level, and Company) to guide leaders in driving strategy, securing promotions, and ensuring organizational resilience. Key strategies include establishing operational cadence, managing performance extremes, cultivating psychological safety, and conducting strategic reorgs as a continuous process.

Key takeaway

For engineering directors and VPs overseeing scaling organizations, you must proactively evolve your leadership style and organizational structure. Focus on establishing robust operational cadences and building strong, psychologically safe leadership teams. Continuously fine-tune your org chart to align with strategic goals, rather than letting it become static. Your ability to reinvent your approach as the team grows from 30 to 100+ engineers is paramount for sustained success and avoiding burnout.

Key insights

Effective engineering leadership scales by adapting strategies across organizational levels and continuously reinventing leadership approaches.

Principles

Method

Leaders should understand external context (outside-in) but act from their immediate sphere of control outwards (inside-out) across their own org, skip-level org, and the entire company, addressing performance, culture, and structure at each level.

In practice

Topics

Best for: VP of Engineering/Data, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by InfoQ.