Principal Product Manager

What you'll do

• Own the model stack rank, per-chip roadmap, prioritization reviews, commitments, launches, and roadmap communications.
• Define model feature-completeness and quality criteria; identify capability gaps and drive them to closure with engineering.
• Test and evaluate models hands-on, build demos or prototypes, and use findings to inform roadmap decisions and messaging.

What they ask for

• Bachelor's degree or higher in Computer Science, Engineering, Machine Learning, or a related technical field.
• 7+ years of combined product management and technical-role experience, including 3+ years as a PM on AI/ML, developer, or infrastructure products.
• Strong working knowledge of LLM architectures, inference trade-offs, and features such as function calling, structured output, and reasoning.
• Track record owning roadmaps and shipping; data skills for prioritization models and dashboards; hands-on model API use, evals, experiments, and simple prototypes.

Nice to have

• Product experience at an inference provider, model lab, AI cloud, or AI hardware company.
• Familiarity with inference stacks (vLLM, SGLang, TensorRT-LLM), API-compatible services, or model evaluations and benchmarks.

Pay

$190,000 — $230,000 USD base pay range

Tools

Jira, Python, vLLM, SGLang, TensorRT-LLM, OpenAI Chat, Responses, Anthropic

AI focus

Owns the model roadmap and capability bar for AI inference, including hands-on LLM evaluation, model launches, and prototyping.