Recruiting Operations Manager (AI)

Location: New York or San Francisco

Salary: $140,000–$180,000 per year

Company

hirify.global builds a data and analytics platform that helps people explore data using natural language, with or without code, on trusted context.

What you will do

• Own hirify.global’s recruiting technology stack, including ATS, sourcing, scheduling, and assessment tools, integrations, configuration, and vendor management.
• Design and continuously improve hiring workflows from requisition approval and intake through sourcing, coordination, offers, and close.
• Build recruiting analytics covering pipeline health, funnel conversion, time-to-fill, source effectiveness, hiring forecasts, and trusted data standards.
• Implement AI-powered recruiting automation with reusable workflows, measurable outcomes, guardrails, and appropriate human involvement.
• Run experiments across sourcing, interviews, and automation; lead interviewer training, structured interview rollout, dashboards, reporting, and adoption programs.
• Own candidate experience operations, including scheduling SLAs, communication cadences, and feedback loops.

Requirements

• 6+ years in recruiting operations, talent operations, or a closely related People Ops, BizOps, or analytics role, including experience scaling a function at a high-growth company.
• Deep hands-on ATS expertise, ideally Ashby, as an administrator and workflow builder.
• Strong analytical skills with experience owning recruiting data, building dashboards, and turning funnel metrics into recommendations; SQL and BI tools are a plus.
• Evidence of building and shipping internal tools, automations, prompt libraries, or workflow experiments.
• Experience turning messy manual processes into scalable, documented, and adopted workflows.
• Experience implementing AI-powered recruiting automation and a clear point of view on appropriate use cases and limitations.
• Sound judgment on when to automate, redesign a process, or keep it simple.
• Experience partnering with recruiters, hiring managers, Finance, People, and Data stakeholders, including non-technical audiences.
• Comfort with ambiguity and a bias to action.

Nice to have

• Experience with headcount planning tools, HRIS systems, or working alongside a data team.

Culture & Benefits

• High-agency environment focused on shipping quickly and building scalable systems.
• Market-benchmarked salary and equity.
• Comprehensive health benefits.
• Flexible paid time off.
• Office hubs in San Francisco and New York, with remote team members throughout the US and UK.

Hiring process

• Placement within the salary range is determined during the interview process based on experience, skills, growth potential, and internal fairness.
• Applications may be reviewed with AI-assisted resume screening and fraud-detection tools; all AI-generated recommendations are reviewed by a recruiting team member, and no application is automatically rejected solely based on AI output.