Editorial summary

The company is seeking an Engineering Program Manager (GenAI) on a 12-month contract in Singapore to support the Human-Centered AI Quality Evaluation team. The role leads programs focused on evaluating GenAI experiences, partnering with researchers, engineers, platform teams, and cross-functional stakeholders to build scalable evaluation capabilities. Key responsibilities include managing platform and tooling dependencies, translating evaluation requirements into technical needs, and aligning priorities and roadmaps while driving blockers to resolution. The position offers a monthly salary of 11,700 SGD.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/engineering-program-manager-genai-up-to-11-7k-41492 first appeared in Job-Q.com on 04 Nov 2026]

Contract Duration: 12 months
Location: Singapore
Industry: Technology

Summary

The EPM will support the Human-Centered AI (HAI) Quality Evaluation team in Singapore.

The EPM will 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.

The role will manage platform and tooling dependencies, translating evaluation requirements into technical needs, aligning priorities and roadmaps, and driving blockers to resolution. It will also support geo-expansion for Market Intelligence and Content Enrichment, coordinating evaluation readiness across new markets, languages, and regions.

The ideal candidate can operate effectively in a technical, research-oriented environment, bring structure to ambiguity, and drive execution across multiple teams and priorities.

Key Responsibilities

• 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.

Minimum Qualifications

• 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.

Good to Have

• 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.

Next Step

• We could contact you in the soonest time if you directly send your resume to:
• Email Topic: Apply Engineering Program Manager (AI/GenAI)
• We regret to inform that only shortlisted candidates will be contacted

Amos Tan Jun Han

EA License No: 91C2918
Personnel Registration Number: R23113385 

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