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# Lauren Charney

**Headline:** Product Manager @ LinkedIn
**Profession:** Product Manager, AI Data Labor Market
**Location:** San Francisco, California, United States

## About

Lauren Charney is a Product Manager at LinkedIn, where she is building the AI Trainer Labor Marketplace to help professionals share their expertise with frontier model labs. Over four years at LinkedIn, Lauren has worked across Trust & Safety, learning search, search models, and AI applications for professional development. She is strongest at translating software engineering and AI capabilities into learning products that are safe, reliable, and useful in production. Lauren helped scale LinkedIn’s AI-powered Learning Coach from 11,000 to more than 360,000 weekly users while reducing hallucinations by 68%. She has also built enterprise AI Role Play scenarios for professionals practicing interviews and sales pitches, and has built a search retrieval system end-to-end. Lauren holds a bachelor’s degree in Computer Science from Vanderbilt University, where she also conducted research at the Institute for Software Integrated Systems. With three years of coding experience, she works across product management, large language models, prompt engineering, Python, Java, C++, SQL, data analysis, and software development. Lauren is motivated by shipping production code and seeing users benefit from solutions to real problems.

## Services

- Computer Science
- Artificial Intelligence \(AI\)
- Software Development
- Cold Calling
- Programming Languages
- Large Language Models \(LLM\)
- Prompt Engineering
- Generative AI
- Product Management
- Analytical Skills
- Java
- C++
- Python \(Programming Language\)
- Project Management
- Data Analysis
- Data Visualization
- Object-Oriented Programming \(OOP\)
- Plotly
- GitHub
- CSS
- Problem Solving
- Tutoring
- Dash
- JavaScript
- SQL

## Highlights

- Building LinkedIn’s AI Trainer Labor Marketplace to help professionals share their expertise with frontier model labs.
- Helped scale LinkedIn’s AI-powered Learning Coach from 11,000 to more than 360,000 weekly users.
- Reduced hallucinations in AI coaching by 68%.
- Built enterprise AI Role Play scenarios for practicing interviews, sales pitches, and other professional situations.
- Built a search retrieval system end-to-end.
- Worked across Trust & Safety, Learning AI, Learning Search and AI, search models, Conversational Discovery, and AI applications for professional development at LinkedIn.
- Building an MCP side project that plugs into Copilot for ATS development.
- Communicated sophisticated interdisciplinary subjects to Michigan Science Center audiences of 400 people through live science demonstrations.
- Increased daily showings in the 4D Engineering Theater by 100% after fixing its sound system.
- Earned a bachelor’s degree in Computer Science from Vanderbilt University.
- Conducted research at Vanderbilt University’s Institute for Software Integrated Systems.
- Completed a Product Manager internship at Apple through the ITDP program.
- Worked as an Engagement Manager at The Pro Bono Collective.

## Experience

- **Product Manager, AI Data Labor Market at LinkedIn** (2025-09-01–present) — Building the AI Trainer Labor Marketplace
- **Product Manager, Learning Search and AI at LinkedIn** (2024-09-01–2025-09-01) — Helping people navigate their careers with AI-Powered Learning Coach and Conversational Discovery
- **Associate Product Manager, Learning AI at LinkedIn** (2023-09-01–2024-09-01)
- **Associate Product Manager, Trust and Safety at LinkedIn** (2022-09-01–2023-09-01)
- **Researcher at Institute for Software Integrated Systems, Vanderbilt University** (2022-01-01–2022-05-01)
- **Product Manager Intern at Apple** (2021-06-01–2021-08-01) — ITDP Intern
- **Engagement Manager at The Pro Bono Collective** (2020-06-01–2020-08-01)
- **Educator at Michigan Science Center** (2019-05-01–2019-08-01) — Communicated sophisticated interdisciplinary subjects to audiences of 400 people using live science demonstrations Increased the number of showings per day by 100% after fixing the sound system in the 4D Engineering Theater

## Education

- Bachelor's degree, Computer Science — Vanderbilt University

## FAQ

### What does Lauren do now?

Lauren is a Product Manager at LinkedIn. Her current work is building the AI Trainer Labor Marketplace, also described as LinkedIn’s AI Trainer Marketplace, to help professionals share their expertise with frontier model labs.

### What is Lauren building in LinkedIn’s AI Trainer Marketplace?

Lauren is building a marketplace focused on AI training labor. The work is intended to help professionals contribute their expertise to frontier model labs.

### What has Lauren worked on at LinkedIn?

Across four years at LinkedIn, Lauren has worked in Trust & Safety, Learning AI, Learning Search and AI, and AI Data Labor Market product roles. Her work has included search models, AI applications for professional development, conversational discovery, AI coaching, and AI safety.

### What did Lauren accomplish with Learning Coach?

Lauren helped scale LinkedIn’s AI-powered Learning Coach from 11,000 to more than 360,000 weekly users. She also helped reduce hallucinations by 68% so that AI coaching could be more trustworthy.

### What are Lauren’s enterprise AI Role Play scenarios?

Lauren built enterprise AI Role Play scenarios that help professionals practice skills including interviewing and sales pitches.

### What is Lauren’s experience with search and retrieval systems?

Lauren has built a search retrieval system end-to-end. Her LinkedIn work in Learning Search and AI also included Conversational Discovery and helping people navigate their careers through AI-powered learning.

### What side project is Lauren building?

Lauren is building an MCP side project that plugs into Copilot for ATS development.

### What did Lauren do at Apple?

Lauren previously worked as a Product Manager Intern at Apple through the ITDP internship program.

### What research experience does Lauren have?

Lauren was a researcher at Vanderbilt University’s Institute for Software Integrated Systems.

### What did Lauren do at The Pro Bono Collective?

Lauren worked as an Engagement Manager at The Pro Bono Collective.

### What did Lauren accomplish at the Michigan Science Center?

At the Michigan Science Center, Lauren communicated sophisticated interdisciplinary subjects to audiences of 400 people through live science demonstrations. She also doubled the number of daily showings in the 4D Engineering Theater after fixing its sound system.

### What is Lauren’s education and coding background?

Lauren earned a bachelor’s degree in Computer Science from Vanderbilt University. She also describes having a formal computer science education and three years of coding experience.

### What are Lauren’s technical and product skills?

Lauren’s skills include product management, artificial intelligence, large language models, generative AI, prompt engineering, software development, computer science, programming languages, analytical skills, project management, data analysis, data visualization, and problem solving. Her technical tools and languages include Java, C++, Python, JavaScript, SQL, CSS, GitHub, Plotly, Dash, and object-oriented programming.

### What are Lauren’s strengths in AI product management?

Lauren focuses on making AI learning and development products safe, reliable, and useful. She is particularly interested in rigorous testing, evaluation, and understanding how models fail, because those practices can determine whether an AI product is helpful or harmful.

### What motivates Lauren’s work in AI and learning?

Lauren is motivated by shipping production code and seeing the user delight that comes from solving problems. She is interested in AI’s potential to broaden access to learning and building, including career pivots and new hobbies she uses AI to help track her ceramics projects.

## Links

- LinkedIn: https://www.linkedin.com/in/laurencharney

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