An Elegant Puzzle

1 Introduction

2 Organizations
2.1 Sizing teams
2.2 Staying on the path to high-performing teams
2.3 A case against top-down global optimization
2.4 Productivity in the age of hypergrowth
2.5 Where to stash your organizational risk?
2.6 Succession planning

3 Tools
3.1 Introduction to systems thinking
3.2 Product management: exploration, selection, validation
3.3 Visions and strategies
3.4 Metrics and baselines
3.5 Guiding broad organizational change with metrics
3.6 Migrations: the sole scalable fix to tech debt
3.7 Running an engineering reorg
3.8 Identify your controls
3.9 Career narratives
3.10 The briefest of media trainings
3.11 Model, document, and share
3.12 Scaling consistency: designing centralized decision-making groups
3.13 Presenting to senior leadership
3.14 Time management
3.15 Communities of learning

4 Approaches
4.1 Work the policy, not the exceptions
4.2 Saying no
4.3 Your philosophy of management
4.4 Managing in the growth plates
4.5 Ways engineering managers get stuck
4.6 Partnering with your manager
4.7 Finding managerial scope
4.8 Setting organizational direction
4.9 Close out, solve, or delegate

5 Culture
5.1 Opportunity and membership
5.2 Select project leads
5.3 Make your peers your first team
5.4 Consider the team you have for senior positions
5.5 Company culture and managing freedoms
5.6 Kill your heroes, stop doing it harder

6 Careers
6.1 Roles over rocket ships, and why hypergrowth is a weak
6.2 Running a humane interview process
6.3 Cold sourcing: hire someone you don't know
6.4 Hiring funnel
6.5 Performance management systems
6.6 Career levels, designation momentum, level splits, etc.
6.7 Creating specialized roles, like SRE or TPM
6.8 Designing an interview loop

7 Appendix
7.1 Tools for operating a growing organization
7.2 Books I've found very useful
7.3 Papers I've found very useful