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Calibratr

Calibratr

Founding Sourcing Manager

San Francisco, USVor OrtVertragVollzeit95.000 $ – 115.000 $ / Jahr

Veröffentlicht am 17. Aug. 2026

Diese Stelle wird in EN ausgeschrieben


Calibratr is an AI-native embedded recruiting firm. We embed full recruiting pods inside fast-scaling seed to Series B AI startups, with a focus on AI in healthcare, and run hiring end to end: sourcing, screening, calibration, and close. We hire on proof of work, not resumes, and calibrate to a founder’s real bar instead of a keyword list.


Our stack pairs experienced recruiters with an AI-native sourcing and evaluation workflow, so a small team moves at the speed our clients need.


About the Role


Own and scale Calibratr’s sourcing function across every client engagement. This is a player-coach role: you run high-bar searches yourself and build the team, tooling, and quality bar that let a small pod out-source firms ten times our size.

What you’ll own

  • Set the hiring thesis for each role alongside the recruiter and hiring manager: the actual problem the role solves and where that person works today, not a mirror of the job description.
  • Run and oversee evidence-based sourcing across our client book, building shortlists against tight specs (stage, stack, geo) with candidate rationale a founder can act on.
  • Own our AI-native sourcing workflow (Claude, Exa, Ashby, AI sourcing tools) and keep improving it: search strings, scoring, dedup, and calibration loops against real client feedback.
  • Hold the quality bar: enforce proof-of-work scoring, our client-exclusion and no-duplicate rules, and verbatim-source discipline so nothing goes out half-checked.
  • Hire, train, and QA a bench of contract sourcers, calibrate them fast, and keep the bar consistent across everyone.
  • Own the sourcing scoreboard: shortlist-to-screen-pass rate, volume, and turnaround per client, and report it weekly.

You’re a fit if

  • You’ve personally sourced senior and staff-level roles (engineering, AI/ML, GTM), not just run high-volume pipelines.
  • You can read a technical spec and tell the difference between “worked somewhere that uses X” and “built the thing.”
  • You’ve managed or trained other sourcers and can hold a calibration bar across a team.
  • You’re fluent with AI-native sourcing tools, or you pick up new tools fast and have real opinions about how to use them well.
  • You write clearly. Your candidate rationale goes straight to founders.
  • You default to high agency: you unblock yourself, flag a bad spec early, and don’t wait to be told.

Bonus

  • You’ve sourced in AI or healthcare talent markets (HIPAA/FHIR, clinical, applied AI and agents, MLE).
  • You’ve built or heavily used LLM workflows for sourcing or candidate evaluation.

How we work: Remote-first, US hours. Small team, direct access to founders, fast feedback.


Rollenübersicht

Jobart

Vollzeit

E-Mail

taylor@calibratr.ai

Erforderliche Kompetenzen

Sourcing Strategy & Hiring Thesis DevelopmentEvidence-based Candidate SourcingAI-native Sourcing Tools (Claude, Exa, Ashby, LLMs)Technical Candidate Evaluation (assess who actually built a system)Team Hiring, Training & Calibration of SourcersQuality Assurance & Proof-of-Work EnforcementSearch String Development, Scoring & DeduplicationSourcing Metrics, Dashboards & Reporting (shortlist-to-screen-pass, volume, turnaround)Written Communication & Concise Candidate RationaleHigh Agency / Autonomous Problem SolvingLLM Workflow Design for Sourcing and Candidate EvaluationStakeholder Alignment with Founders and Hiring ManagersContract Sourcer Bench Management and QAAI and Healthcare Talent Market Knowledge (HIPAA/FHIR, clinical, applied AI)

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