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Tier-1 backing plus visible ML title increases competition, but senior specialization limits applicant density.
Skills transfer across AI products but emphasize LLM/agent experience, so moderately sensitive to background.
Requires production LLM/agent shipping and strong Python/TypeScript skills, so screening will be strict.
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Own the measurement and improvement of the AI agent quality within Cardboard’s video editing product.
Develop and maintain evaluation standards, automated checks, and human reviews based on real product usage data.
Collaborate with product and engineering teams to implement measurable improvements and enforce release quality gates.
Experience shipping and operating a large language model (LLM) or agent system used by real customers.
Strong software engineering skills in TypeScript or Python, with ability to work across both languages.
Experience building AI evaluations, datasets, experiments, or quality systems.
Work Experience Required: Not explicitly mentioned in the JD.
Has a track record of delivering reliable AI products and measurable quality improvements in deployed systems.
Skilled at translating unclear quality problems into measurable evaluation criteria and regression checks.
Comfortable owning end-to-end problem solving and shipping iterative product improvements quickly in a startup environment.