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# Engineering managers are paying the price of rising expectations

**[LeadDev](https://daily.dev/sources/leaddev)** · 11 min read · 0 upvotes · 0 comments

## Summary

Engineering managers face a tradeoff problem, not just a workload problem — every expectation (AI adoption, coaching, technical oversight, org influence) is expanding simultaneously. The post argues that leadership capacity is finite and something is always being dropped; the key is making those tradeoffs explicit rather than absorbing them silently. Three core tradeoffs are explored: depth vs. breadth, urgency vs. importance, and presence vs. impact. Practical advice includes treating oversight as finite capacity, drawing clear decision boundaries, pushing ownership down to engineers and tech leads, and negotiating tradeoffs openly with managers and teams rather than quietly degrading quality across the board.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://leaddev.com/leadership/engineering-managers-are-paying-the-price-of-rising-expectations>

## Questions this post answers

### How can I decide what to stop doing as an engineering manager when my responsibilities keep expanding?

Treat it as a tradeoff problem, not a workload problem: leadership capacity is finite, so something is already being dropped whether or not it's acknowledged. Identify one tradeoff already being made silently (like depth vs. breadth, urgency vs. importance, or presence vs. impact), state it explicitly as 'I am optimizing for X, which means less attention on Y,' then test it with your manager and team by asking what breaks if it's true.

_Managers weighing where to spend limited attention can track this kind of leadership framing on daily.dev._

### What is the difference between span of control and context load for an engineering manager?

Span of control refers to how many people directly report to a manager, while context load refers to how many conversations, decisions, and risks that manager must track simultaneously. Context load can grow even without adding direct reports, for example through more cross-team dependencies, more technical change flowing through a system, or AI generating more proposals and specs to evaluate, which shifts the bottleneck from producing work to judging what's worth doing.

_Anyone scaling a team's decision-making load can follow this distinction between headcount and cognitive load on daily.dev._

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---

Tags: [#leadership](https://daily.dev/tags/leadership)

[View this post on daily.dev](https://daily.dev/posts/engineering-managers-are-paying-the-price-of-rising-expectations-9zk4rfw5q)

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