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Calibratr

Calibratr

Founding Sourcing Manager

New York, 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

AI-native sourcing tools (Claude, Exa, Ashby, AI sourcing platforms)Senior and staff-level candidate sourcing (engineering, AI/ML, GTM)Hiring thesis development (defining role problem and target talent locations)Search string and query construction (Boolean, LLM prompts, targeted queries)Candidate scoring frameworks and calibration loopsCandidate deduplication and data hygieneSourcing quality assurance and process enforcement (proof-of-work scoring, client-exclusion, verbatim-source discipline)Hiring, training, and calibrating contract sourcersSourcing metrics, reporting, and analytics (shortlist-to-screen-pass rate, volume, turnaround)Technical candidate assessment (reading specs to evaluate depth of work)Clear business/technical writing and concise candidate rationale for foundersLLM workflow design for sourcing and candidate evaluationKnowledge of AI and healthcare talent markets (HIPAA/FHIR, clinical, applied AI, MLE)Proactive problem solving and high personal agency

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