Ty Geri, a product manager at OpenAI, reveals that the AI lab prioritizes candidates who are passionate about its mission and actively experiment with its products. He emphasizes that this advice applies to all roles, from engineers to data scientists.
TL;DR
- OpenAI values passion and experimentation in potential hires, according to product manager Ty Geri.
- Geri advises candidates to integrate OpenAI's products into their workflows and build in public.
- OpenAI's culture encourages 'big swings' and iterative development, differing from larger tech companies.
What happened
Ty Geri joined OpenAI in 2025 as a product manager and has been offering insights into the hiring process at the AI lab. In an interview with Business Insider, he emphasized that OpenAI seeks individuals who are passionate about the company's mission and willing to experiment with its products. Geri's advice is role-agnostic, applying to engineers, researchers, product managers, and data scientists alike.
Geri encourages job seekers to actively use OpenAI's products, even if they are not yet perfect. He believes that OpenAI is looking for people who are willing to 'push on the frontiers' and integrate these products into their daily workflows. Additionally, Geri highlights the importance of building in public and contributing to platforms like GitHub, as OpenAI staffers often engage with and try out candidates' projects.
The culture at OpenAI is described as one of experimentation and 'big swings,' where iterative development and public engagement are valued. Geri contrasts this with his prior experience at Google, suggesting that larger companies can sometimes be slower to innovate. He acknowledges that this culture can be stressful but also finds it enjoyable and rewarding.
Why it matters
For AI/ML developers and startup founders, Geri's advice underscores the importance of demonstrating passion and a willingness to experiment when applying to OpenAI or similar innovative companies. By integrating products into workflows and building in public, candidates can showcase their skills and align with the company's culture.
Tech investors can glean insights into OpenAI's hiring strategy and cultural values, which emphasize innovation and iterative development. This information can be valuable when assessing the company's potential for growth and its approach to attracting top talent in the competitive AI landscape.
The emphasis on experimentation and public engagement highlights OpenAI's unique culture, which may appeal to candidates and investors looking for a dynamic and innovative environment. However, the high expectations and stress associated with this culture may also be a consideration for those evaluating opportunities at the lab.
Key facts
- Ty Geri joined OpenAI in 2025 as a product manager.
- Geri advises job seekers to be passionate about OpenAI's mission and experiment with its products.
- OpenAI values candidates who integrate its products into their workflows and build in public.
- The company's culture encourages 'big swings' and iterative development, according to Geri.
- Geri contrasts OpenAI's culture with his prior experience at Google, suggesting larger companies can be slower to innovate.
- OpenAI staffers often engage with and try out candidates' projects, highlighting the importance of public contributions.
- Geri acknowledges that OpenAI's culture can be stressful but also enjoyable and rewarding.
- A former OpenAI intern advised going broad, specializing, and building, while another employee secured their job through a cold DM on LinkedIn.
Context
OpenAI is known for its innovative work in artificial intelligence, including the development of advanced language models like ChatGPT. The company's focus on mission-driven work and a culture of experimentation has attracted top talent in the AI field. As the AI landscape continues to evolve, understanding the hiring practices and cultural values of leading companies like OpenAI can provide valuable insights for developers, startup founders, and investors.
The competitive nature of the AI industry has led to rigorous technical interviews and a strong emphasis on public engagement and contributions. Candidates looking to join leading AI companies must demonstrate not only their technical skills but also their passion for the mission and willingness to experiment and innovate. This approach aligns with the rapid pace of development in the AI field, where iterative progress and public collaboration are often key to success.
