2 technical deployment lead forward deployed engineering jobs found

About the Team OpenAI's Forward Deployed Engineering (FDE) team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Technical Deployment Lead Manager (TDL Manager) in the FDE team, you will build and lead TDLs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You'll grow a team that can operate under pressure and help OpenAI learn from the field. You will lead TDLs who translate business outcomes into technical delivery plans, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will set the bar on scope, sequencing, risk management, and communication. When deployments drift or stakes spike, you will step in to reset the plan, unblock teams, and protect customer trust. Your decisions will...

About the Company Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models. We raised a total of...