Palo Alto, CA, USA+1 moreMore locations: San Francisco, CA, USA
In Person
ProductTechnical Product Management
About the job
Requirements
A bachelor's or master's degree in Computer Science, Engineering, or a related technical field.
At least 3 years of experience in Product Management or a related technical role, such as Engineering or Solutions Architecture, in a software company.
Strong technical fluency in AI/ML infrastructure, including the ability to discuss system architecture and read technical documentation.
Ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
Responsibilities
Define, prioritize, and drive the product roadmap for inference and training infrastructure.
Stay current with AI trends, including new model architectures, hardware optimizations, and open-source developments.
Balance qualitative insights, including partner feedback and community discussions, with quantitative metrics, including benchmarks and system performance, to inform roadmap decisions.
Collaborate 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.
Clarify requirements and manage scope to remove blockers for engineering teams.
Serve as the main point of contact for early adopters and partners, gathering feedback to guide product iterations.
Support Go-to-Market initiatives by creating technical content, including blogs, documentation, and social assets, and engaging with developer communities.
Use data and user research to validate hypotheses and measure the impact of product launches.
Desired Qualifications
Hands-on coding skills, such as Python or C++, and experience contributing to open-source communities.
Experience creating content for developer audiences, such as blogs or social media, or organizing tech events or hackathons.
A data-driven mindset and experience using analytics to drive product decisions.
Experience conducting user research and interviews to uncover user pain points.
B2B or developer-facing product experience.
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.
About RadixArk
RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, 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.
Compensation
Depending on background, skills, and experience, the expected annual salary range for this position is $160,000 - $300,000 USD + equity.
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, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.