BEST-FIT USE CASE
Leading a B2B AI workflow from problem definition and MVP scope to a production release with evaluation and post-launch measurement.
Not the primary fit: A role confined to model training or infrastructure operations.
EVIDENCE HIGHLIGHTS
What supports the assessment
01
Personally describes building production RAG and agent workflows with tool calling, structured outputs and guardrails.
02
Describes reviewing, debugging and refactoring AI-generated code before release.
03
Owned product and growth for a production B2B retail platform while working with engineering on integrations and reliability.
04
Led product strategy and coordinated delivery across web, mobile and hardware teams.
WORKING STYLE
How they show up
- Runs customer discovery before defining MVP scope.
- Uses iterative releases and post-launch measures to guide product decisions.