Preparing for Your First VP of Engineering Role | Honeycomb VPE, Emily Nakashima
Mar 19, 2024
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The podcast discusses the varied roles of VP of Engineering, the importance of self-evaluation for career growth, and using personality tests for team dynamics. They also explore the impact of AI on the workforce, aligning engineering with business goals, and enhancing human skills with AI technology.
The role of VP of Engineering varies based on company size and growth stage, requiring different skills and perspectives for success.
Adapting to changing business conditions and challenges is crucial for aspiring VPs of Engineering, emphasizing the need for cross-functional relationships and human-centric leadership.
Deep dives
The Evolving Role of VP of Engineering
The role of VP of Engineering is discussed, emphasizing the need to view it differently based on company size and growth stage. The conversation explores the various archetypes that VPs of Engineering can embody, highlighting the importance of understanding the unique demands of the role in different organizational contexts. The episode underlines the significance of adapting to changing business conditions and challenges, pointing out the diverse skill sets and perspectives required to excel as a VP of Engineering.
Developing Manager of Managers Skills
The episode delves into the essential skills needed to transition to a manager of managers role, emphasizing the importance of building a nuanced understanding of organizational dynamics and fostering cross-functional relationships. The conversation highlights the challenges of maintaining visibility in the organization as one ascends the management ladder and offers actionable tips for developing managerial skills while keeping a sharp focus on business impact and human-centric leadership approaches.
Navigating Change in Tech and Business Landscape
The discussion addresses the evolving landscape in technology and business, including the pressure on engineering teams to adopt AI and automation. The episode explores the potential efficiency gains and challenges of integrating AI into software development processes while urging a balanced approach that values human judgment and decision-making. The conversation also anticipates a shift towards rethinking how software is supported in production and emphasizes the importance of leveraging data to drive informed decision-making.
Embracing Data-Driven Tools and Innovations
The episode advocates for embracing data-driven tools and innovations to enhance productivity and efficiency in software development. It encourages individuals to dream big for their tools and reimagine their work experiences, leveraging advancements in AI and technology to improve workflows and streamline processes. The conversation emphasizes the significance of staying agile and exploring opportunities to upgrade tools and technologies for greater effectiveness and impact.
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 role 10:15 How does the VPE role change as an organization grows? 14:46 Preparing to become a VP of Engineering before you get the role 20:11 How you can use personality tests in organizational design 26:00 How is the VP of Engineering role changing in 2024? 30:53 Teams are having to accept realities about production software with regards to AI