Senior Product Manager, Experimentation Tooling
Core
Own Lightning AI's experimentation and post-training product end-to-end, enabling AI researchers and engineers to turn ideas into validated models with a cohesive workflow.
Role type
Senior Product Manager (AI Infrastructure/Developer Tooling)
Builds
Experimentation and post-training platform features for model development, evaluation, and production deployment.
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
product features
Required skills
Product strategy and roadmap ownership, ML engineer and AI researcher workflow expertise, post-training techniques (fine-tuning, RL, distributed training), model evaluation design, pricing and packaging strategy, technical depth in APIs/SDKs/observability, end-to-end product ownership, prioritization and scope management.
Preferred skills
Experience at AI infrastructure/neocloud/hyperscaler, familiarity with PyTorch/PyTorch Lightning, experience with W&B/MLflow/Hugging Face/Ray/Kubernetes, building collaborative research-to-production workflows.
Technologies
PyTorch, PyTorch Lightning, W&B, MLflow, Hugging Face, Ray, Slurm, Kubernetes
Responsibilities
Define product vision and roadmap for post-training and experimentation; build products that make ML workflows coherent; work directly with engineers from problem definition through launch; own model evaluation as a product function; design pricing and packaging; build collaborative workflows for research-to-production; serve as product voice in GTM.
Seniority
Senior, hands-on IC
