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Talent Operations

RadixArk· Go-to-Market and Operations
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Hybrid (Palo Alto, CA)$118k - $200kFull-timePosted 2mo ago

About the role

Hands-on Talent Operations Specialist to build and run the machinery behind talent and people ops, combining recruiting operations and people operations with AI-augmented workflows and scalable infrastructure.

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.

Qualifications

  • 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.

Skills

Required:Interview coordinationAI-augmented workflowsATS/HRIS data integrityDocumentation and SOPs
Last updated Aug 25, 2026. Interested? Apply on the company site.
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About RadixArk

SHIP AI FOR ALL

RadixArk is an infrastructure-first, deep-tech company building large-scale inference and training systems for the entire AI community.

AI systemsMilesSGLangbessemer-ai-infrastructure-2026inferenceinference-inflection-pointinfrastructureopen infrastructure
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