Each archetype encodes how a target company actually evaluates: priorities, vocabulary, framing, interview signals. Pick the one that matches the role. The Chameleon rewrites the bullets to match.
Default lane for Series-A through C operators. Clean STAR, balanced impact metrics, neutral but specific language that lands across cultures.
Velocity-first cultures evaluate on weekly cadence, decisive action under ambiguity, and a refusal to wait for permission.
Alignment-first labs evaluate on written, reviewable artifacts, calibrated confidence, and evaluation thinking baked into every shipped change.
Research and craft cultures evaluate on novel framing, weekend prototypes that became production, and a willingness to bet against the obvious approach.
Platform companies evaluate on integration density, attach revenue, and whether every customer you ship makes the next one easier.
Revenue-discipline cultures evaluate on attribution clarity, retention curves, and the ability to qualify a deal out faster than in.
AI eng cultures evaluate on token budget literacy, p95 latency receipts, deterministic output design, and eval sets you actually run.
Partner-facing engineering roles evaluate on reference architectures, customer-facing depth, and integration playbooks the field can actually run.
Eng-PM hybrid cultures evaluate on writing quality, scope discipline, and bias to running code over slide decks.