THE ROLEHelp make training and fine-tuning AI models dramatically easier.Training a model is hard enough. Developers shouldn't have to spend their time wrestling with infrastructure, waiting for GPUs, or figuring out why a job failed.
We're building a training platform that lets AI teams focus on improving their models instead of managing the systems underneath them.
As Product Manager for Training Platform, you'll own the developer experience for running training jobs on Baseten, from environment setup and job submission to scheduling, debugging, checkpointing, and recovery.
You'll work alongside engineers and researchers solving some of the hardest problems in distributed training, helping turn that complexity into a product developers can depend on.
RESPONSIBILITIES- Own the product experience for training jobs, from setup and submission through execution, monitoring, and recovery
- Make distributed training easier to use, with intuitive workflows for scheduling, GPU availability, logs, checkpoints, and debugging
- Work closely with research and infrastructure teams to support different training workloads, including supervised fine-tuning and reinforcement learning
- Help developers recover from failures, reproduce experiments, and spend less time waiting on infrastructure
- Connect training with the rest of Baseten's platform, including Loops, model evaluation, and inference deployment
- Work directly with customers to understand how they train and adapt models, then turn those insights into product improvements
REQUIREMENTS- Experience building and shipping AI/ML products or developer platforms
- A technical background in software engineering, ML engineering, research, or equivalent hands-on work
- Direct experience working with teams that train, fine-tune, or adapt machine learning models
- Strong understanding of distributed training concepts, including GPU memory, scheduling, data access, checkpointing, and fault recovery
- Familiarity with the infrastructure needs of supervised fine-tuning and reinforcement learning
- Strong product instincts for developer workflows and the ability to simplify technically complex systems
- Experience partnering with researchers and engineers to take new capabilities from concept to production
NICE TO HAVE- Hands-on experience running distributed training, building ML developer tools, or working with trainer and sampler systems for reinforcement learning.
WHAT SUCCESS LOOKS LIKEAI teams can run more experiments, recover from failures faster, and spend more of their time improving models instead of managing compute. Baseten becomes a natural place to train, fine-tune, and deploy custom AI models.
BENEFITS- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
