Responsibilities

• To support the Human-Centered AI (HAI) Quality Evaluation team in Singapore.
• Drive programs focused on quality evaluation of Generative AI (GenAI) experiences, working with researchers, engineers, platform teams, and cross-functional stakeholders to build scalable evaluation capabilities.
• Manage platform and tooling dependencies, translating evaluation requirements into technical needs, aligning priorities and roadmaps, and driving blockers to resolution. 
• Support geo-expansion for Market Intelligence and Content Enrichment, coordinating evaluation readiness across new markets, languages, and regions.
• Drive HAI Quality Evaluation programs, including planning, roadmaps, priorities, milestones, dependencies, risks, and readiness.
• Translate research and evaluation objectives into clear execution plans.
• Manage platform and tooling dependencies and drive gaps or blockers to resolution.
• Align Quality Evaluation requirements with platform and engineering roadmaps.
• Drive geo-expansion for Market Intelligence and Content Enrichment across research, engineering, evaluation, platform, and regional teams.
• Support scalable GenAI evaluation across markets, languages, and locales.
• Partner with researchers on evaluation methodologies, metrics, datasets, and quality criteria.
• Track evaluation/platform readiness, risks, dependencies, and overall program health.
• Drive cross-functional alignment, decisions, ownership, and accountability.
• Communicate program status, priorities, risks, and technical dependencies to teams and leadership.

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, or related field.
• 5+ years in engineering/technical program management, product management, or similar technical roles.
• Experience with AI/ML, GenAI, research, evaluation, or data-focused engineering teams.
• Experience managing technical roadmaps, priorities, and platform/infrastructure/tooling dependencies.
• Technical fluency to work effectively with researchers and engineers and understand system dependencies, constraints, and tradeoffs
• Strong cross-functional leadership and ability to influence without direct authority.
• Ability to navigate ambiguity and convert complex problems into actionable plans.
• Strong communication, analytical, and problem-solving skills.
• Experience working with globally distributed teams.

• Experience with GenAI/LLM evaluation, including human or automated evaluation.
• Knowledge of quality metrics, evaluation datasets, model comparison, and launch readiness.
• Experience with AI/ML or evaluation platforms and developer tooling.
• Experience with internationalization, localization, or geo-expansion, particularly in APAC.
• Experience supporting launches across multiple languages, locales, and markets.
• Exposure to Market Intelligence, content understanding, or content enrichment.
• Understanding of the ML lifecycle from data/model development through evaluation, launch, and monitoring.
• Experience defining quality gates, evaluation thresholds, and go/no-go criteria.
• Experience moving AI/ML capabilities from research into scalable production environments.