In the AI era, a team that can develop the best capabilities.
Many people still worry, "Will using too many AI tools make me less intelligent?" But consider that modern engineers don't worry about "Can I write JavaScript without understanding assembly?" Throughout history, as technology has advanced and replaced human intellectual tasks, humans have always become smarter.
๐ค How is it changing in the AI era?
โข
It is becoming easier to acquire new knowledge .
โฆ
We live in a world where anyone can quickly learn anythingโwhether it's medicine, finance, development, or designโat their own pace, if they put their mind to it. The value of simply possessing specialized knowledge will diminish.
โข
Running is getting easier.
โฆ
Developing features and creating marketing assets can be done ten times faster than before. A significant productivity gap will emerge between companies that actively utilize AI in their work and those that don't.
๐ช What skills should I develop?
โข
However, the most important ability that remains unchanged is the ability to read what people want and solve problems somehow .
โฆ
Rather than focusing on superficial job skills, you should work in a place where you can develop the ability to understand people's emotions and translate them into excellent products. Those who have the experience to define problems, try to solve them, and solve them themselves will remain recognized as top talent, regardless of the changing times.
โข
We must constantly explore new areas where AI can increase work efficiency tenfold, boldly apply them, and ultimately fundamentally change the way we work .
โฆ
While many people still underestimate the potential of AI, the reality is that it can transform many more jobs than anticipated. This gap will only widen over time, so we need to actively practice leveraging it now.
And it's rare to find an environment like the LilysAI team where you can truly cultivate these capabilities.
๐ณ LilysAI Team's Management Philosophy
โข
An elite team with high sales per capita
In the AI application app market, examples of small, elite teams of less than 50 people building trillion-dollar companies continue to emerge. This is because a single individual can accomplish far more, and the impact of AI products is far greater than that of traditional SaaS products. Going forward, the per-capita revenue of top-performing companies will significantly increase.
From the beginning, our team has focused on growing the business by generating high sales per employee rather than relying on investment. This management approach has the advantage of maintaining a high talent density even as the company grows, allowing us to share more of the fruits of our labor with those talented individuals.
From the beginning, our team has focused on growing the business by generating high sales per employee rather than relying on investment. This management approach has the advantage of maintaining a high talent density even as the company grows, allowing us to share more of the fruits of our labor with those talented individuals.
However, just because we haven't received investment or have a small team relative to our revenue doesn't mean our dreams are small. Our team is always working hard to achieve challenging goals.
https://leanaileaderboard.com/
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Team composition with integrated job functions
We're hiring a Product Engineer, a role that combines the roles of full-stack engineer and project manager. While we still require Product Engineers to possess strong technical skills, we're also exploring how to delegate more implementation tasks to AI. This frees up our time, allowing us to focus on directly meeting users, analyzing metrics, developing product direction, and driving business results. Companies that are currently achieving the highest performance, such as Cursor and Perplexity, are making similar changes.
The same goes for the marketing profession. We're looking for individuals who can leverage diverse job skills while focusing on the essence of marketingโpersuading the people in front of them.
๐ผ How we work
1.
Initiative & OKR System
a.
Each team member is responsible for one 'initiative', which is an important task for the company.
b.
Set and achieve your goals (OKRs) every 12 weeks. You can personally consider and decide what you will do to achieve your goals.
2.
A team where everyone is pickled by users
a.
All decisions must be grounded in user insights, and the team is building its expertise in gathering and interpreting user insights.
b.
In their first week on the job, every product engineer spends time meeting users, understanding them, and immersing themselves in their problems without writing a single line of code.
c.
Afterwards, all team members must repeatedly meet users directly to increase their understanding, including feeding them dog food, conducting statistics, conducting interviews, and promoting features.
d.
Share what you learn through this process with your team.
i.
Share what you've learned in the Slack #user channel, and feel free to post new ideas in the #idea channel.
ii.
We also share during our regular weekly sharing time.
3.
Feedback/Retrospection Based on Core Values
a.
Our team's core values are not just wonderful, but rather principles we must live by every day. All feedback and reflections, from hiring to joining, are based on these core values.
b.
Regularly share OKRs : During monthly review sessions, we transparently disclose the company's key indicators and thoroughly reflect on them.
i.
We have sharing time every Friday.
ii.
In weeks 4, 8, and 12, we share and reflect on OKR progress in more detail.
c.
Regular 1-on-1s : You'll have 1-on-1s with your team leader every 4, 8, and 12 weeks. You can request additional support to achieve your initiative's goals. Your leader will provide feedback based on your [core values].
4.
Increase team productivity
a.
Developer Productivity Summit : Every week, we share our expertise and key technology trends that have helped us increase developer productivity with AI.
b.
Know-How Book : We are recording and disseminating know-how on how to increase productivity and effectively utilize AI in all work processes, such as how to conduct user interviews, how to effectively gather the latest user input, how to effectively determine project priorities, how to effectively develop specifications, how to effectively develop prompts, how to quickly determine release specifications, how to effectively improve after deployment, and how to effectively communicate new features.
๐งโ๐คโ๐ง Team Member Introduction
Even before the ChatGPT craze, I've been building beloved products leveraging AI technology. I worked at VoyagerX for five years, where I co-created the AI video editor Vrew. I've contributed to the product's growth through a wide range of roles, from AI modeling, backend, and frontend development to planning and marketing. Prior to that, I worked as a software engineer at Naver and AB180 and graduated from Korea University with a degree in Industrial Engineering.
As a planner at VoyagerX, I worked with CEO John to create Vrew. Later, I joined Luton as the fourteenth team member and served as Product Owner, contributing to its ninefold user growth and reaching one million subscribers. At LilysAI, I handle planning, design, GTM, and everything else that goes beyond development. I graduated from Sogang University with a degree in Business Administration.
I enjoy solving diverse problems and designing new experiences. I founded a startup to address mental health issues, and over the past three years, I've developed a gamification-based mental care service called "Momori," which ultimately raised seed funding. At LilysAI, I'm deeply interested in the efficiency of information digestion, and I work as a Product Engineer. Previously, I worked as a consultant in the construction and IT industries at Syntegrate and graduated from Yonsei University's Department of Architecture.
I began developing with a desire to deeply understand users and create valuable features directly for them. I honed my skills as a Product Engineer through personal projects like Withconi, a pet disease management app, and TechTalk, an AI interview app. I also worked as an app developer at startups like Seoltab and Joonggonara, gaining experience launching services and developing features. Currently, I'm enjoying my work at Lilys AI, where I can focus on closely observing users and creating valuable features. I majored in English Language and Literature and double-majored in Computer Science at Kyungpook National University.
I love creating products that add meaningful value to the world. For five years, I worked as a software engineer and PM at Carrot Neighborhood Living, growing the app from 4 million MAU to 18 million, contributing to the connection between neighbors. At LilysAI, I leverage my experience as a product engineer to deliver the value of information understanding. Previously, I worked as a software engineer at Naver, LG Electronics, Kakao, and startups. I graduated from Yonsei University with a degree in economics.
I find the greatest joy in solving users' problems. At SW Maestro, I experienced the entire product lifecycle, from planning to launch and actual user acquisition. After that, at Syncly (YC W23), I focused on creating business impact and built my technical foundation through an internship at Naver Labs. At LilysAI, I leverage my understanding of customers and technology to transform ideas into tangible value.
My life goal is to create the future and build a great company. As a non-technical major, I first learned development in the Air Force and served as a full-stack developer. I also experienced the launch of the Apple Vision Pro app and the development of a TTS model. As a Product Engineer at Lilys AI, I'm dedicated to building the world's best information understanding products. Previously, I worked in business development and marketing at startups like Deere and Revit, and I'm currently on leave from the Department of Industrial and Management Engineering at Korea University.