Product Manager Driving AI Innovation & Growth
Hi, I am Jiaru :)
Based in California, I’m a passionate product manager specializing in AI applications and product growth, with a strong data background. I’ve contributed to both an AI property leasing startup and a mobile game unicorn.
My 3 superpowers include
1. Balancing Customer Experience with Business Goals
- Business flow design for AI leasing assistant
- Driving application via tour optimization
2. Mastering Complex Systems
- Implementation: evolving from MVP to AI agent
- Crafting an evaluation framework for AI products
3. Data-Informed Decision Making
- Cracking D1 retention with data insights
- Cross-brand content partnership: game meets TV IP
Outside of work, you’ll find me lifting weights, working toward my first wide-grip pull-up, or learning tennis. Excited to keep improving every day!
In the rental industry, one of the largest expenses in the leasing process is the commission paid to leasing agents. To optimize costs and enhance the customer experience, I led a team of 8 (5 eng, 2 data, 1 QA) to develop an GenAI-powered leasing assistant from 0 to 1.
This assistant was designed for human agents to handle repetitive tasks in CRM, such as making tailored property recommendations through text messages and supporting multi-modality in the near future, particularly during peak and off-hours.
It catered to a variety of audiences, including students and work professionals, and supported diverse sales use cases, such as apartments, co-living spaces, and student housing.
Business Flow Design for AI Leasing Assistant
Led the company's first GenAI project to address diverse customer and business needs.
Implementation: Evolving from MVP to AI Agent
Built an end-to-end automated workflow through AI agent design and a new ecosystem.
Crafting an Evaluation Framework for AI Product
Developed a comprehensive testing and evaluation framework to ensure the performance of the AI leasing assistant.
Driving Applications via Tour Optimization
Drove product growth by understanding user behavior and effectively leading a team of 8.
Cracking D1 Retention with Data Insights
Tackled the growth bottleneck by performing a deep dive into data and devising content strategies.
Cross-Brand Content: Game Meets TV IP
Led the analysis of the content hit featuring both the game and TV IPs, identifying reusable key drivers.
There are many methodologies and experiences in product growth, but I believe the key always revolves around:
1. Continuous Testing and Iteration
User needs or motivations, and features are highly dynamic and constantly evolving. What works for a competitor's product might not work for yours. Tracking what doesn’t work today might reveal its value later. Consistent testing and iteration are crucial to keeping up with these changes. For instance, Duolingo frequently updates its copy to improve the retention of the streak feature.
2. Deep Understanding of Core Needs
Many growth tests focus on psychological factors like color and size, but ultimately, they all circle back to the core value for users. Understanding why users enjoy the product, why they are willing to pay, and what they are paying for is essential. For example, while ChatGPT’s paying users may seem to be paying for a better model or faster responses, they are actually driven by the increased efficiency it provides in certain use cases.
Thank you for taking the time to explore my work!
I’d love to hear your thoughts, and feedback is always welcomed ❤️