Multilingual AI Quality Evaluation

• Enhance the quality gate of the agentic pipeline — the evaluation agent that decides whether a translation is good enough to auto-publish.
• Own the trade-off between automation coverage and risk across content tiers. When the gate gets something wrong systematically rather than as a one-off, diagnose the root cause and drive the fix back into the agent.

AI Driven Localization Testing

• Build an AI-driven product testing tool that automatically detects localization defects that translation review cannot catch — truncation, layout breakage, hardcoded strings, unlocalized images, wrong number/date/currency formats.
• Ship the MVP that scans mobile/web apps to accelerate localization auditing, then drive the long-term vision of integrating localization tests into internal product testing infrastructure, so they run automatically before features go live.

Evaluation & Annotation Infrastructure

• Build the backbone that makes quality measurable and improvable: golden datasets, annotation tooling with error classification, automated evaluation, a metrics/dashboard layer, and the feedback loop that turns human evaluations into agent fine-tuning.
• Own annotation workflow integration so linguists can annotate in a standardized, real-time way.

What We Look For In You

• Bachelor's degree or higher with 3+ years in product management. Hands-on experience building or evaluating AI agent systems (not just using AI tools) may substitute for part of the PM tenure requirement.
• Platform-building experience: You've built content platforms, testing platforms, or SaaS products — you know how to take a fuzzy internal workflow and turn it into a system others rely on. Experience with CMSes, testing infrastructure, or internal tooling counts.
• AI agent / evaluation: You've worked hands-on with AI agents, agent harnesses, and evals — especially for subjective, hard-to-measure quality problems (not just accuracy against a clean label). You can design eval harnesses and golden datasets, and read failure modes (hallucination, prompt drift, edge-case regressions) well enough to know whether a bad output is a prompt problem, a data problem, or a model problem.
• Multi-market shipping experience: You've shipped products across multiple markets or languages — you understand what breaks when a single-market assumption meets a global user base, and you're comfortable working cross-culturally with distributed teams.
• Excellent cross-functional leadership across engineering, AI teams, linguists, design, and external partners.

Perks & Benefits

• Competitive total compensation package
• L&D programs and education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!