Overseas AI Product Operation (LLM/AIOSDomain)

Vidaa; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Vidaa is seeking a skilled AI product operations professional to lead overseas user insight research and strategy, and to own core C-end AI experience operations including AI Homepage and scenario intelligence. The role focuses on multilingual quality governance, corpus workflows, and ongoing collaboration with algorithm and product teams to enhance multilingual recognition and scenario adaptation.

You will drive data-driven iterations, monitor user behavior, and coordinate cross-border research

Qualifications

• Bachelor’s degree or above.
• 3+ years of experience in AI product operations or related roles.
• Familiarity with overseas internet ecosystem and cultural differences.
• Understanding of LLM fundamentals and scenario-based intelligence.
• Strong data analysis and experimentation skills.
• Professional English reading and writing for cross-border collaboration.

Responsibilities

• Research overseas user AI interaction habits and market needs across key regions.
• Own experience operations for AI homepage and scenario intelligence.
• Manage multilingual quality and corpus workflow for overseas corpora and evaluations.
• Identify bottlenecks and drive data-driven product iterations to improve adoption and retention.

Skills

Data analysis

Root-cause analysis

Experimentation

English proficiency

Cross-border collaboration

User research

Education

Bachelor’s degree or above

Job description

Responsibilities

1. Overseas AI User Insight & Strategy

• Research users’ AI interaction habits, household device usage, and scenario needs across key markets, including Europe, North America, Southeast Asia, and India.
• Track AI experience updates from competitors such as Google TV, Roku, and Amazon.
• Identify differentiated user needs for wake‑free dialogue, multi‑turn conversation, on‑device offline AI, and scenario‑driven proactive intelligence.
• Turn research into actionable insights that guide product planning and algorithm optimization.

2. Core C-end AI Experience Operations (AI Homepage / Scenario Intelligence)

• Own experience operations for core consumer AI products: AI Homepage, personalized recommendations, ambient intelligence, and scenario‑based proactive services.
• Define personalized AI delivery strategies, scenario trigger rules, and service scheduling based on overseas users’ daily routines, household scenarios, and behavioral preferences.
• Evolve the AI from passive Q&A into immersive intelligence that perceives context and proactively adapts to the home environment.

3. LLM Quality Operations & Capability Governance

• Own user‑facing quality for our cloud‑edge integrated large models. This covers multilingual voice interaction, multimodal understanding, and home‑scenario decision‑making.
• Manage the full workflow of corpus production, annotation guidelines, model evaluation, hallucination mitigation, and experience quality assurance:
• • Build and iterate the collection, annotation, acceptance, and evaluation system for overseas multilingual corpora.
  • Analyze high‑frequency user questions, model hallucinations, and interaction failures, and deliver regular reviews and optimization plans.
  • Partner with algorithm and product teams to improve multilingual recognition accuracy, conversation coherence, scenario adaptability, and decision quality.

4. Data-Driven Product Iteration

• Identify experience bottlenecks and algorithm gaps using user behavior, AI conversation logs, negative feedback, and conversion data.
• Deliver structured optimization strategies and validate them through A/B testing.
• Drive AI feature adoption, user engagement, interaction satisfaction, and retention.

Requirements

• Bachelor’s degree or above.
• 3+ years of experience in AI product operations, LLM experience operations, intelligent product operations, or international product operations.
• Familiarity with the overseas internet ecosystem and cultural differences, plus a solid understanding of consumer intelligent product experiences for global users.
• Understanding of LLM fundamentals, intelligent interaction, personalized recommendation, and scenario‑based intelligence, with the ability to diagnose model issues and break down user experience problems.
• Strong skills in data analysis, root‑cause analysis, and experimentation, with the ability to drive product and algorithm improvements through data.
• Professional English reading and writing skills, sufficient for independent competitor research, user research, and cross‑border collaboration.

Preferred Qualifications

• Experience with large‑screen or smart home hardware, ambient AI, or cloud‑edge collaborative AI operations.
• Hands‑on experience with LLM evaluation, prompt engineering, corpus operations, or AI agent implementation.
• Familiarity with the overseas smart device AI portfolios of Google, Samsung, and Amazon.