Product Manager

RadixArkPalo Alto, CA

About The Position

About RadixArk RadixArk is an infrastructure-first company built by enggineers who've shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework). We're on a mission to democratize frontier-level Al 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 infrastucture that powers leading Al companies and research labs. We're backed by well-known infrastructure investors and partner with NVIDIA, Google,AWS,and frontier Al labs. Join us in building infrastructure that givees real leverage back to the Al community.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • 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.
  • We offer competitive compensation with equity,comprehensive health benefits,and flexible work arrangements.
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