> Markdown version of [/jobs/ext/2720369-research-technical-program-manager](https://www.wearedevelopers.com/jobs/ext/2720369-research-technical-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Technical Program Manager - **Company:** A. & A. FEDER'S INC. - **Location:** San Francisco, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Large Language Models, Data Generation - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/research-technical-program-manager-afterquery-9788694 ## About the Role 2-4 years project/program management experience Experience leading complex technical programs across research, machine learning, engineering, or data organizations Working knowledge of the LLM development lifecycle, including data creation, SFT, RL-based post-training, and evaluation Strong communication and an ability to turn messy technical information into clear decisions and next steps ## Description Your job is to make ambitious research programs move. You will own the execution of programs spanning post-training, enterprise post-training, fellowships, evaluation releases, and partner research. You will turn open-ended research goals into clear plans, keep researchers, engineers, SPLs and external partners aligned, and surface the decisions and blockers that matter. This is not a traditional project-management role. You must understand the technical work well enough to reason about experiments, datasets, evaluations, training pipelines, and research tradeoffs. Your impact will come from creating just enough structure for the team to run more programs, make better decisions, and ship high-quality work faster., Own planning and execution across post-training, enterprise post-training, fellowship, and public evaluation programs. Translate ambiguous research objectives into milestones, owners, dependencies, success criteria, and decision points. Maintain a trustworthy view of program health, including experiment progress, risks, blockers, partner dependencies, and upcoming releases. ## Related Videos - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm) - [Enhancing AI-based Robotics with Simulation Workflows](https://www.wearedevelopers.com/videos/472-enhancing-ai-based-robotics-with-simulation-workflows) - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) - [Lies, Damned Lies and Large Language Models](https://www.wearedevelopers.com/videos/1231-lies-damned-lies-and-large-language-models) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)