# Ep 79: OpenAI's Head of Product on How the Best Teams Build, Ship and Scale AI Products Page: https://stenobird.com/podcast/unsupervised-learning-with-jacob-effron-6041643/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products Text version: https://stenobird.com/podcast/unsupervised-learning-with-jacob-effron-6041643/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products.md Podcast: [Unsupervised Learning with Jacob Effron](https://stenobird.com/podcast/unsupervised-learning-with-jacob-effron-6041643) Published: 2025-12-10T13:56:48+00:00 Episode link: https://unsupervised-learning.simplecast.com/episodes/ep-79-openais-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products-q_iDa_wK Audio file: https://cdn.simplecast.com/audio/2c08ad29-5b79-42c0-a40a-6c1af4327f2f/episodes/8f4f1836-cefe-405c-8a9d-e8129adc2f6b/audio/2830e39c-c511-4de4-8f7d-0a64daa20c4e/default_tc.mp3?aid=rss_feed&feed=dOSE_bdP Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/unsupervised-learning-with-jacob-effron-6041643/episodes/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products Duration seconds: 3376 ## Resource This episode features Olivier Godement, Head of Product for Business Products at OpenAI, discussing the current state and future of AI adoption in enterprises, with a particular focus on the recent releases of GPT 5.1 and Codex. The conversation explores how these models are achieving meaningful automation in specific domains like coding, customer support, and life sciences: where companies like Amgen are using AI to accelerate drug development timelines from months to weeks through automated regulatory documentation. Olivier reveals that while complete job automation remains challenging and requires substantial scaffolding, harnesses, and evaluation frameworks, certain use cases like coding are reaching a tipping point where engineers would "riot" if AI tools were taken away. The discussion covers the importance of cost reduction in unlocking new use cases, the emerging significance of reinforcement fine-tuning (RFT) for frontier customers, and OpenAI's philosophy of providing not just models but reference architectures and harnesses to maximize developer success. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/unsupervised-learning-with-jacob-effron-6041643/episodes/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/unsupervised-learning-with-jacob-effron-6041643/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.