Product ManagerPalo Alto, CA

Key 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.
• Act as a trusted partner to engineering teams, removing blockers by clarifying requirements and managing scope.

• Serve as the main point of contact for early adopters and partners, gathering feedback to guide product iterations.
• Support Go‑to‑Market initiatives, including creating technical content (blogs, documentation, social assets) and engaging with developer communities.
• Use data and user research to validate hypotheses and measure the impact of product launches.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in Product Management or a related technical role (Engineering, Solutions Architecture) in a software company.
• Strong technical fluency in AI/ML infrastructure; comfortable discussing system architecture and reading technical documentation.
• Excellent communication skills, able to clearly explain complex technical concepts to technical and non‑technical stakeholders.

• Hands‑on coding skills (Python, C++ etc); experience contributing to open‑source communities.
• Experience creating content for developer audiences (blogs, social media) or organizing tech events/hackathons.
• Data‑driven mindset with experience using analytics to drive product decisions.
• Experience conducting user research and interviews to uncover user pain points.
• B2B or developer‑facing product experience.

• Competitive salary and equity package.
• Work with a world‑class team from xAI, Google, and leading research labs.
• Directly impact the future of open AI infrastructure.

Radix Ark is an infrastructure‑first company built by engineers who've shipped production AI systems, created SGLang (20K+ Git Hub stars, the fastest open LLM serving engine), and developed Miles (our large‑scale RL framework).

We're on a mission to democratize frontier‑level AI infrastructure by building world‑class open systems for inference and training.

Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

We're backed by well‑known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.

Join us in building infrastructure that gives real leverage back to the AI community.

We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.

Radix Ark is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.