AI-Driven Recruitment Operations Specialist

clera United State
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AI Summary

Oversee AI agent pipelines, handle high-stakes moments, train agents, and close placements in a fast-paced AI recruiting startup. Define AI-native recruiting operations as the company scales.

Key Highlights
Supervise AI agent pipelines and intervene when human judgment is needed
Handle senior candidate conversations and tricky objections
Train AI agents and improve their performance over time
Close candidate placements and ensure successful hires
Key Responsibilities
Supervise AI agent pipelines and monitor live candidate conversations
Flag errors and intervene when the agent needs human judgment
Handle high-stakes moments such as senior candidate conversations and compensation negotiations
Train the agents by reviewing agent outputs and writing examples to improve AI performance
Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints
Close placements by guiding candidates through final stages and handling offers
Build the playbook by documenting what works and creating SOPs for human and AI agent collaboration
Technical Skills Required
AI/ML understanding Data analysis Recruitment process optimization
Benefits & Perks
Base salary + uncapped performance-based compensation
Performance-based equity
Health insurance
Visa sponsorship available
Optional: housing in a collaborative hackerhouse in San Francisco
Nice to Have
Experience with AI/ML-oriented startups and an understanding of AI-focused hiring needs
Familiarity with modern tech stacks (TypeScript/JavaScript, Python, React, Node.js, PostgreSQL)

Job Description


About The Role

A well-funded, pre-seed AI recruiting startup is looking for a Talent AI Operator to join their growing team. This is a genuinely new kind of role — you're not a traditional recruiter, and you're not a software engineer. You're the human who makes autonomous AI recruiting actually work.

The company's AI agents handle massive volume: thousands of candidates sourced, messaged, and qualified every week across a marketplace of tens of thousands of talents and hundreds of startup clients. Your job is to supervise those agents, catch edge cases, step in for high-judgment moments, and close candidates who need a human touch. Think air traffic controller, not pilot.

You'll help define what AI-native recruiting operations looks like as the company scales — this is a proving ground for high performers with a clear path into leadership.

What You'll Do

  • Supervise AI agent pipelines: Monitor live candidate conversations, flag errors, and intervene when the agent needs human judgment
  • Handle high-stakes moments: Senior candidates, tricky objections, compensation negotiations — the conversations where humans still win
  • Train the agents: Review agent outputs, label good/bad responses, and write examples that make the AI smarter over time
  • Quality control at scale: Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints
  • Close placements: Guide candidates through final stages, handle offers, and ensure successful hires
  • Build the playbook: Document what works, create SOPs, and help define how humans and AI agents collaborate effectively

Growth Path

Strong Performers Can Grow Into

  • Account Lead: Own client relationships and agent performance for key accounts
  • Agent Training Lead: Own the feedback loop that makes the AI better
  • Operations Lead: Build and manage the broader operations function

What We're Looking For

Required

  • 2+ years of talent operations or recruitment experience, ideally in early-stage tech startups (pre-seed/seed)
  • Strong communication and collaboration skills; comfortable working cross-functionally with product, engineering, design, and leadership
  • Experience using data to inform recruitment decisions — KPIs, dashboards, A/B tests, and experiments
  • Proven ability to design and optimize end-to-end recruitment processes: sourcing, screening, interview coordination, offer management, and candidate experience
  • Ability to work on-site in San Francisco as needed

Nice To Have

  • Experience with AI/ML-oriented startups and an understanding of AI-focused hiring needs
  • Familiarity with modern tech stacks (TypeScript/JavaScript, Python, React, Node.js, PostgreSQL) to effectively communicate with engineers

Compensation & Benefits

  • Base salary + uncapped performance-based compensation tied to placements — top performers earn significantly more
  • Performance-based equity: Equity grants awarded after a successful 90-day window, with potential for meaningful ownership as scope expands
  • Health insurance
  • Visa sponsorship available
  • Optional: housing in a collaborative hackerhouse in San Francisco

Location

This role is based in San Francisco, CA with flexibility for remote work. Candidates must be willing and able to work on-site in San Francisco as needed. Visa sponsorship is available.

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