Suggestions
Ryan Lubinski
Director of Product at LinkedIn
Ryan Lubinski is a seasoned professional in the field of product management, currently serving as the Director of Product Management, Content Experience at LinkedIn.15 With a decade of experience in product management, he specializes in building innovative and impactful products.
Professional Background
Ryan's expertise lies in several key areas:
- Engagement Strategies: He focuses on developing strategies to enhance user engagement.3
- Growth Initiatives: Ryan works on implementing growth strategies for digital platforms.3
- Monetization: He has experience in creating monetization strategies for digital creator platforms.3
Career at LinkedIn
Ryan has been working in his current role at LinkedIn for over 974 days.5 As part of his responsibilities, he is involved in:
- Performance Reviews: He recently participated in LinkedIn's year-end performance review process, indicating his involvement in team management and career development.2
- Data Analysis: Ryan is particularly excited about the application of AI in data analysis, which he finds both enjoyable and crucial for his role as a Product Manager.4
Education
Ryan Lubinski received his education from the University of Utah - David Eccles School of Business.1
Professional Interests
Ryan demonstrates a keen interest in:
- AI Applications: He is enthusiastic about the potential of AI, especially in data analysis for product management.4
- Task Management: Ryan advocates for effective task management techniques, such as the "Four D's" approach, which is valuable for aspiring Product Managers.6
Ryan Lubinski's LinkedIn profile (username: ryanlubinski) serves as a platform where he shares insights on product management, career growth, and technological advancements in his field.
Highlights
How do you handle attribution in a world where interesting content is passed around from platform to platform, repurposed and reused without credit to the original creator?
I saw this interesting video about teapot quality and wanted to use it as a visual example of how developing mastery of a craft can create drastically different outcomes, even if the work looks the same.
I would like to credit the original creator but... I have no idea who it is. I've found a dozen Tiktok accounts that have posted it, a Reddit thread from a year ago with the video, and a hand full of X threads attributing back to various content aggregation accounts.
How do you think about this when you are creating? If you find something interesting worth sharing but can't confidently attribute it, should you not share it?
Note: Credit to @beatwall678 on TikTok.. I think? That's my best guess at this point!
One application of AI that I’m particularly excited about is data analysis. As a PM, diving deep into data is not only enjoyable but also pivotal for making smart product decisions. The traditional approach of crafting custom SQL queries can be cumbersome and time-consuming, involving tasks like deciphering new data schemas and juggling multiple datasets while mastering syntax-specific languages.
AI-powered natural language querying of data seems like an incredible unlock here. Has anyone explored any game-changing AI-powered data analysis tools?
