radixark

Product Manager

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Older posting · still listed ·

  • onsite
  • FullTime
  • Go-to-Market and Operations
  • Palo Alto
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Stated sponsorship
Not stated
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Requirements

2 with evidence7 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
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Minimum experience (years)
3
“3+ years of experience in Product Management or a related technical role (Engineering, Solutions Architecture) in a software company.”
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Employment type
FullTime
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
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Original job description

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Key Responsibilities Product Strategy & Roadmap Define, prioritize, and drive the product roadmap for inference and training infrastructure.
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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.
Original formatting and links
 


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.

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