Senior Product Manager, Translation Quality & Platform

present of AI; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

LILT is seeking a Senior Product Manager for Translation Quality & Platform to own translation quality features and the tools linguists use to review and deliver work. You will work with enterprise customers to discuss quality, tradeoffs, and improvement opportunities, while aligning product strategy with AI-driven translation goals.

The role requires hands-on evaluation of model and prompt changes, test sets, error scoring, and translating quality signals into actionable routing and delivery

Qualifications

• Candidate has run AI or language products.
• Can read data and write clear specs.
• Comfortable talking with enterprise customers about quality and tradeoffs.
• Able to learn quickly and own area during transition.
• Experience with evaluation metrics for language models (LLMs).
• Familiarity with SQL and reporting requirements.
• Knowledge of translation production processes.

Responsibilities

• Own translation quality features and the tools linguists use to review and deliver work.
• Measure output quality, speed, cost, and reviewer effort; set targets.
• Explain results and limits to customers; manage tradeoffs.
• Evaluate model and prompt changes with test sets, error scoring, and sampled human review.

Skills

AI product management

Language product experience

Customer communication

Data analysis

Tools

SQL

Reporting tools

Translation platform knowledge

Job description

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

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About LILT

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