Preparing for Your First VP of Engineering Role | Honeycomb VPE, Emily Nakashima

On this week’s episode, host Conor Bronsdon sits down with Emily Nakashima, VP of Engineering at Honeycomb.io, to discuss how you can prepare to be a VP of Engineering, and how the role differs among companies. Being a VPE varies based on company size, culture, and the existing team's makeup, and Emily provides valuable advice for engineers aspiring to leadership positions.Emily also discusses using personality tests for better team dynamics and the need for regular self-evaluation as an integral part of career advancement. The conversation closes by talking about the impact of AI on the workforce, the importance of aligning engineering and business goals, and the potential of AI to enhance rather than replace human skills.Episode Highlights:01:27 Why does Emily think there isn't a standard VP of Engineering role?06:29 The archetypes of the VPE role10:15 How does the VPE role change as an organization grows?14:46 Preparing to become a VP of Engineering before you get the role20:11 How you can use personality tests in organizational design26:00 How is the VP of Engineering role changing in 2024?30:53 Teams are having to accept realities about production software with regards to AIShow Notes:Modern Practices for Goal Setting in Software Engineering Emily NakashimaEmily Nakashima (@eanakashima.bsky.social) — BlueskyObservability for Distributed Services | HoneycombStrengthsFinder 2.0 | EN - GallOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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