Technical Program Manager, Antigravity (Modeling & Evals)

<h4>Snapshot</h4> <p>Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority</p> <h4>The Role</h4> <p>We are looking for a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. You will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops. This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.</p> <p><strong>Key responsibilities:</strong></p> <ul> <li><strong>Antigravity Data Flywheel Owner: </strong>Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams. Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams. Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.</li> <li><strong>Model Deployments: </strong>Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.</li> <li><strong>User Signals Program: </strong>Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues. Coordinate with vendors for product testing and report on key findings to the engineering and product teams.