Senior Product Manager, Translation Quality & Platform

This role owns translation quality features and the tools linguists use to review and deliver work, plus the reports customers see on quality, speed and spend. A strong candidate has run AI or language products before, can read data and write clear specs, and is comfortable talking directly with enterprise customers about quality and tradeoffs. The job starts by covering an existing manager's area during leave, so quick learning and steady ownership matter.

How it fits the AI era

AI already drafts and checks translations here, so the work shifts toward measuring whether those outputs are actually good and deciding when a human must step in. The human parts stay central: judging quality, setting targets for speed, cost and reviewer effort, and explaining results and limits honestly to customers. The role sits where model behavior meets real production and customer trust.

How it builds AI experience

The person would gain hands on practice evaluating model and prompt changes with test sets, error scoring and sampled human review, and would learn how quality signals drive routing and delivery decisions. Building this means getting fluent with agentic tools for discovery and analysis, and learning how translation is produced on the ground so AI features earn linguist trust.

Worth showing

• LLM evaluation and metrics
• SQL and reporting requirements
• Translation production knowledge
• Clear specs and acceptance criteria

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About LILT

LILT provides an AI-powered platform for enterprise translation and localization, per the company.