Loading…
Paging Charity! How can engineering leaders avoid becoming Bond villains?
Stack OverflowCharity Majors
Summary
Engineering leadership advice often prioritizes personal empathy over commercial competence, which Charity Majors argues is a misdiagnosis of organizational failure. Because over 90% of venture-backed startups fail, tech culture frequently venerates ruthless founders who succeed commercially. New engineering managers frequently focus solely on subjective employee comfort, mistaking business instability or misaligned stakeholder priorities for micromanagement. To champion humane values sustainably, engineering leaders across all tiers must first master business operations, clarify product strategy, and deliver business wins. Advancing to the director level requires moving beyond generic cheerleading, building high-performing teams oriented around continuous improvement, and demonstrating systems thinking alongside business acumen.
Context
A reader asked for guidance on how newer engineering managers can promote collaborative, non-authoritarian values in an industry that venerates authoritarian leaders, and how to advance into a director role.
Approach / What changed
Charity Majors advises engineering managers to master business fundamentals and clarify product strategy, arguing that organizational pain often stems from structural business failures rather than poor interpersonal management, and recommends pursuing director promotions internally by cultivating high-performing teams.
Takeaways
- Over 90% of VC-backed startups fail, leading the tech industry to venerate and mythologize the rare winners regardless of authoritarian traits.
- Most team frustrations attributed to bad management are actually caused by structural business weaknesses, lack of product-market fit, or conflicting leadership priorities.
- Ascending to a director role generally happens via internal promotion, requiring managers to build high-performing teams and develop strong operational business skills rather than simply cheerleading.
Related reading
Dispatches from O'Reilly: The best risk mitigation strategy in data? A single source of truth
Data organizations face severe operational risks from inconsistent metrics, sprawling access controls, and incomplete change management across disparate BI tools and warehouses. Traditional remediation relies on centralized BI gatekeepers and fragmented governance frameworks, which introduces costly bottlenecks and fails to scale. Implementing a semantic layer mitigates these risks by consolidating metric definitions, business logic, and calculations into a single governed location. Centralizing access shrinks the governance surface area and allows metric updates to propagate automatically to downstream consumers, including Tableau, Power BI, Excel, and AI tools. Structured metadata captures context directly alongside models, enabling reliable self-service and federated hub-and-spoke delivery while keeping definitions auditable under version control.
Jeremy Arendt