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Product Manager at TikTok Open Platform
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Competencies
Extensive experience overseeing end-to-end product development from conception to deployment.
Proven ability to collaborate effectively across engineering, design, and business teams.
Utilizes user research and analytics to inform product features and strategic directions.
Hands-on experience designing and implementing backend systems and APIs using modern tech stacks.
Education
Languages
Summary
Innovative product professional with proven success in transforming manual processes into scalable systems, enhancing user activation, and leading cross-functional teams. Skilled in product lifecycle management, data analysis, and software development.
Key Achievements
- Transformed manual monetization processes into a fully self-serve system, enhancing efficiency.
- Led cross-functional teams to optimize developer payout flows, resulting in improved scalability.
- Increased user activation rates by 40% through targeted onboarding improvements during AI product management internship.
Experience
Product Manager
Owned end-to-end product lifecycle for developer monetization and payout flows, transforming a manual, Ops-driven process into a fully self-serve system through cross-functional execution across Payments, Legal, Design, Engineering, and Ops; reduced developer activation time from ~5 days to ~5 minutes.. Compressed settlement and payout timelines by 50% (60 → 30 days) across ads, beans, and fiat revenue streams by platformizing settlement logic and payment processing workflows—improving cash-flow predictability for developers.. Launched a TikTok Minis performance dashboard, prioritizing metrics through developer interviews and competitive benchmarking; enabled self-serve performance visibility and bug detection, reducing monthly developer inquiries by 60%.. Led TikTok’s Content Posting API risk governance in partnership with risk teams; launched data dashboards, iterated on risk control strategies (behavioral and image-detection based), and built developer notification and enforcement pipelines; reduced spam exposure by up to 97% (EU: 17.6% → 0.56%).
Software Engineer Intern
Designed and built an end-to-end notification system (frontend, event triggers, APIs, backend services) using Angular, TypeScript, Java, AWS, DynamoDB, improving user control and engagement.. Optimized event trigger logic with conditional propagation, reducing system latency by 400%.. Resolved 7+ production issues across frontend and backend services, improving system reliability and user experience.
AI Product Management Intern
Improved user onboarding and activation through HCI research and cross-functional collaboration, increasing activation rate by 40%—directly informed by user research and data analysis.. Led bi-weekly customer discovery with enterprise clients; designed 12 AI workflows that increased engagement by 33%.. Conducted competitive analysis across 24 AI products to inform differentiation strategy and shape a 1-year product roadmap.. Led a 0→1 proactive AI feature for the Slack agent, enabling the AI to autonomously initiate tasks; shipped from concept to launch and adopted by 20+ clients.
Product Management Intern
Conducted user profiling across 6 competitors via surveys and user interviews, gathering 250+ data points on user behavior; findings directly informed Pico World’s UGC toolkit design, reaching 6,000+ MAU.. Prioritized 15 ideated in-product experiences with senior PM using a data-driven approach leveraging 30+ expert interviews and market research; top 3 experiences adopted and launched.