Principal Product Manager, Foundational AI Research

What you'd actually do

1. Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.
2. Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
3. Create model prototypes to prove out new feature directions and scope projects.
4. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
5. Foster a culture of collaboration, continuous improvement, and growth.
6. Advance the AI frontier responsibly

Skills

What the JD emphasized

• pushing the boundaries of scale, performance, and product deployment
• train the world’s most capable AI frontier models
• developing many of today’s most influential LLM models
• MAI-1 models, including MAI-1-image debuting in top 10 in LMarena
• advancing the next generation of LLM models
• pre-training and post-training data and evaluations
• training infrastructure
• API and Platform
• working backward from customer needs to prioritize new research
• build evals and datasets
• work closely with AI researchers to build and execute project plans
• built data collection or evaluation pipelines for pre-training or post-training AI models
• experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models
• Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment
• Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area
• worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.
• Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.
• Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
• Create model prototypes to prove out new feature directions and scope projects.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
• Advance the AI frontier responsibly
• Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
• Experience building and shipping data pipelines or evaluation systems personally.

Other signals

• train the world’s most capable AI frontier models
• developing many of today’s most influential LLM models
• MAI-1 models, including MAI-1-image debuting in top 10 in LMarena
• advancing the next generation of LLM models
• pre-training and post-training data and evaluations
• training infrastructure
• API and Platform
• working backward from customer needs to prioritize new research
• build evals and datasets
• work closely with AI researchers to build and execute project plans