Talent OperationsNew Palo Alto, CA

About the role

We're looking for a hands-on Talent Operations Specialist to build and run the machinery behind talent and people ops as we scale. This isn't a traditional HR generalist role—it's for someone who treats recruiting and people ops like an engineering challenge: we don't just 'use' tools, we build AI-augmented workflows, automate the manual, and engineer our people & talent infrastructure for scale. You'll straddle recruiting ops and people ops, work directly with our existing team, and own the day-to-day execution that keeps our ATS and HRIS infrastructure fast, clean, and scalable. We move fast and put in long hours because we're building the infrastructure for a small team to operate like a much larger one—if that trade-off excites you rather than drains you, you'll fit in here.

Responsibilities

• Own interview coordination end to end: schedule and manage complex, multi-stakeholder interviews across formats and time zones.
• Build AI into coordination and reporting workflows so a small team can run at scale.
• Deliver a white-glove candidate experience as the primary point of contact through the interview process, responsive and clear at every touchpoint.
• Maintain data integrity: own accurate, up-to-date candidate records and workflow tracking in the ATS.
• Develop and maintain project documentation, including workflows, use cases, and standard operating procedures.
• Maintain a recruiting metrics dashboard (volume, conversion, time-in-stage, hiring manager accountability).
• Partner closely with the Head of People & Talent to manage priorities, streamline processes, and offload high-leverage operational tasks.

Requirements

• On-site or hybrid presence preferred.
• Experience in talent ops, people ops, management consulting, or other high-intensity operational roles.
• API/MCP experience; comfortable with ATS integrations and automation.
• Experience with recruiting or people technology (Ashby, Rippling, Greenhouse, Workday, GoodTime, Modernloop).
• You've supported or run programs across multiple regions, working through regional differences in compliance, process, and stakeholder needs.
• You write and speak clearly, whether the audience is a hiring manager, a vendor, or leadership.

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.

Pay

Depending on background, skills, and experience, the expected annual salary range for this position is $118,000 - $145,000 USD + equity.