Talent Operations

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.

• 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.

• 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.

Send us your resume and portfolio or personal website (required) along with a short note on a project you're proud of.

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.

Depending on background, skills, and experience, the expected annual salary range for this position is $118,000 - $200,000 USD + equity.

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.