Product Manager at RadixArk
Palo Alto, California, United States -
Full Time


Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product management, AI/ML infrastructure, Product roadmap, System architecture, Technical communication, Python, C++, Open-source, Data-driven decision making, User research, Go-to-market strategy, Developer relations, Technical writing, Stakeholder management, Inference systems, Distributed training

Industry

technology;Information and Internet

Description
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. Key Responsibilities Product Strategy & Roadmap 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. User Engagement & Growth 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. Qualifications Minimum 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. Preferred (Bonus) Qualifications 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. 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. Compensation We offer competitive compensation with equity,comprehensive health benefits,and flexible work arrangements. Compensation is determined by location,level,and experience. Equal Opportunity RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race,color,ancestry,religion,sex,nationalorigin,sexual orientation,age,citizenship,marital status, disability,gender identity,veteran status,and more.
Responsibilities
Define and drive the product roadmap for AI inference and training infrastructure while collaborating with engineering and research teams. Engage with early adopters and partners to gather feedback and support go-to-market initiatives through technical content creation.
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