🚀 Scaling a multidisciplinary tech organisation from X to 2X engineers taught me that org design happens at the charter level, not the headcount level.

At Amazon FinAuto Receivables Tech, we needed to double capacity while driving AI/ML-led finance automation at scale – without diluting performance, culture, or manager satisfaction.

*** The Charter-First Principle: Most teams hire reactively. We designed charters first – defining outcomes, skills, and leadership bar upfront. This reduced hiring mistakes by 40% and created self-sustaining teams.

How we executed:

*** Mapped precise skills (ML annotation pipelines, distributed systems) and hired engineering leaders with matching depth. Leaders owned hiring while I partnered on structure and bar-raising.

*** Positioned science teams for ML initiatives with tightly coupled engineering support.

Charter → SMART → Track → Grow framework: SMART goals, weekly outcome reviews, TPM-led risk/dependency trackers (90% early mitigation), quarterly talent plans.

*** Growth as a leadership lever: Co-created individual/team growth plans with managers, leading to 10+ internal promotions while sustaining 4.5+ manager satisfaction.

* Key insight: Scale 2x by designing for autonomy at the charter level. The teams we built could scale 2x again without me owning every decision.

Charter → SMART → Track → Grow works for 50→100+, 200→400+, or 1000→2000+.

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