Overseas AI Product Operation (LLM/AIOSDomain)

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.