- Palo Alto, California, United States
- On-site
- Full-time · Mid
- $160K–$300K per year
- 3+ years
Define, prioritize, and drive the product roadmap for inference and training infrastructure, balancing qualitative insights with quantitative metrics.
Compensation
Depending on background, skills, and experience, the expected annual salary range for this position is $160,000 - $300,000 USD + equity.
Responsibilities
- Define, prioritize, and drive the product roadmap for inference and training infrastructure
- Stay ahead of AI trends, including new model architectures, hardware optimizations, and open-source developments
- Balance qualitative insights (partner feedback, community discussions) with quantitative metrics (benchmarks, system performance) to inform roadmap decisions
- Collaborate closely with research and engineering teams, participating in design reviews and technical discussions to evaluate trade-offs
- Translate complex technical capabilities into clear user stories, product requirements, and actionable deliverables
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Master's degree in Computer Science, Engineering, or a related technical field
- Nice to have: Python
- Nice to have: C++
- Nice to have: Open-source contribution