Wang Yiting

Driving Decisions with Data, Reshaping Experience with AI.

wyiting0123@gmail.com +86 175 2657 5850

Product manager with experience in tech companies. Focus on user growth, data-driven decisions, and AI-powered products.

Featured Works

Profile

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Education

  • Master of Science in EEE · The University of Hong Kong (HKU)

    Sep 2024 - Dec 2025

    Faculty of Engineering | GPA: 3.59/4 (Top 10% Distinction)

  • Bachelor of Engineering in Communications · Nankai University (NKU)

    Sep 2020 - Jul 2024

    School of EOE | Grade: 83.52 (Top 15%)

  • Bachelor of Finance (Dual Degree) · Nankai University (NKU)

    Sep 2020 - Jul 2024

    School of Finance | Grade: 82.49

Skills

  • Tools & Skills

    • - C++ / Python / MATLAB / SQL
    • - Figma / Axure / XMind / Office
    • - PS / PR / CapCut / Xiumi

  • Core Competencies

    • -Technical Background & Coding
    • -Product Insights & Innovation
    • -AI Product Lifecycle Management

Honors & Awards

7 Awards

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Campus Experience

2 Roles

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Experience

2025-05 — 2025-07

Tencent

AI Product Manager Intern

AI Search / RAG AI Code Review DevTools (MCP)

Built AI search and review capabilities for the Efficiency Center, significantly improving R&D collaboration through multi-source data integration.

  • Intelligent Search Optimization: Identified pain points in multi-source data retrieval through user research. Led the integration of third-party AI data sources into 'iwiki Intelligent Search', increasing the effective Click-Through Rate (CTR) by 6% and enriching the knowledge base ecosystem.
  • AI Review Capability: Developed an AI Review application to improve documentation quality for the WeChat team. Implemented both Prompt-based and API-based review modes, boosting AI Q&A accuracy and successfully deploying it across 3+ teams.
  • MCP DevTools Construction: Built a VS Code extension-based toolchain from scratch to lower the barrier for MCP Server development. Integrated cloud containers, IDE compilation, and AI debugging, significantly standardizing and accelerating internal tool development.

2025-01 — 2025-04

KN Group

Strategy Data Analyst Intern

Strategy Optimization Data Analysis (SQL) Cross-border Business

Optimized post-loan collection strategies for China, Mexico, and Pakistan, achieving a 3% increase in D7 recovery rate through SQL analysis and tiered strategy design.

  • Cross-border Strategy Optimization: Designed 3 sets of tiered waiver strategies to address low recovery rates in Mexico, achieving a 3% increase in D7 recovery rate through continuous SQL tracking.
  • China Market Process Optimization: Identified redundancy and low tool usage in the China market through stakeholder interviews. Designed a 'Human-AI Hybrid' collection path, which was included in the quarterly iteration and replicated for the Pakistan strategy.
  • Multi-country Data Monitoring: Managed process and result data monitoring for manual operations across three countries. Delivered timely data insights and handled ad-hoc SQL requests to ensure efficient data support for business decisions.

2024-10 — 2025-01

Keep

Software Product Manager Intern

Smart Wearables Data-driven Growth Commercialization

Led smart watch iterations and watch face ecosystem operations, driving GMV over 300k and boosting backend efficiency by 20%.

  • Watch Feature Design: Led the NPS and user satisfaction research for the first-gen watch. Managed the full product lifecycle (PRD to launch) for key features like Stress Monitoring and Barometric Pressure based on user demand.
  • Watch Face Operations: Developed and launched 50+ watch faces. formulated data-driven operation strategies based on sales analytics, driving the H4 Watch Face GMV to exceed 300,000 RMB.
  • Backend Optimization: Analyzed bottlenecks in the watch face upload system. Designed and implemented a comprehensive optimization plan covering workflows and features, improving upload efficiency by 20%.

2024-05 — 2024-08

Gaotu

AI Product Manager Intern

AI Customer Service Intent Recognition 0-to-1 Build

Built AI customer service system from scratch, achieving 1M+ GMV in 30 days and 90%+ intent recognition accuracy.

  • Product Planning & Dev: Built the AI customer service system from 0-to-1 to address slow manual responses. Analyzed requirements using SQL/Pandas and delivered PRDs. Managed the full lifecycle (review, dev, test, launch), achieving 1M+ GMV in 30 days.
  • Feature Design & Optimization: Designed 5+ intent recognition solutions based on user scenarios. Implemented AI hosting and lead generation features, assisting the algorithm team to boost intent recognition accuracy to over 90%.
  • Project Management: Decomposed project roadmaps into short/mid/long-term goals based on business targets. Coordinated with engineering, algorithm, and QA teams to ensure on-time delivery.
Key Project: Gaotu AI Customer Service (Edu-LLM)
  • Semi-Automated Smart CS: Designed demos and prompts to address poor response quality. Optimized scripts and logic, boosting Suggested Reply (SUG) usage from 5% to over 95%.
  • Knowledge Base Construction: Built indexing logic and expanded script libraries for subjects and course purchases, supporting multi-path retrieval and iteration based on usage data.
  • AI Full Hosting: Achieved fully automated AI conversations (intent classification, user stories, lead gen) upon stable 95%+ SUG usage. Increased daily sales leads by 35% after launch.

2024-01 — 2024-04

Kuaishou

Brand Operation Intern

Marketing Solutions Industry Research Data Insights

Formulated marketing solutions and data insights for key brand clients, empowering sales teams with industry reports.

  • Marketing Solutions: Developed the '2024 Kuaishou White Spirit Industry Marketing Solution' by integrating brand ads, content IPs, and influencer collaborations to boost brand awareness and empower the sales team.
  • Industry Insights & Reporting: Established the framework for industry audience profiling. Led the production of 2023 Audience Reports for Beverage and Personal Care categories (avg. 2k+ views), effectively attracting potential B2B clients.
  • Data Analysis & Client Service: Supported key accounts (e.g., Zuoyebang) in consumption growth reviews. Conducted in-depth analysis on content and search distribution, delivering 3+ customized brand insight reports.

Side Projects

羽毛

羽毛球智能检测分析系统

A Deep Learning-based system for real-time badminton match analysis.

Computer Vision Deep Learning PyQt5
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