Solstice

Solstice

Member of Talent Staff (Technical)

New York City · Staff+

Sponsorship not specifiedDetected 117 days ago
Machine LearningLLMsRecruitingResearch

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Your time will be split across two core areas: 90% Technical Recruiting and 10% Recruiting Operations & Process.

Responsibilities

  • Own full-cycle recruiting across technical functions: software engineering, ML/AI, infrastructure, data, and product
  • Partner with engineering leaders and founders to define role requirements, leveling, and the technical hiring bar
  • Build and manage a deep pipeline of top technical talent through proactive sourcing, referrals, and employer brand
  • Help build and maintain recruiting infrastructure: ATS hygiene, scorecards, interviewer training, and process documentation
  • Support onboarding to ensure new technical hires ramp quickly and feel set up for success
  • Manage relationships with technical recruiting agencies and external partners as needed

Requirements

  • 5+ years of recruiting experience, with a strong emphasis on technical/engineering hiring, ideally at a high-growth startup
  • Proven track record of owning full-cycle technical recruiting and closing competitive engineering, ML, or product candidates

Nice to have

  • Prior experience recruiting for AI/ML, infrastructure, or applied research roles
  • Familiarity with tools like Ashby or similar HR/ATS platforms
  • Experience scaling a technical team from seed to Series A or beyond

Skills

  • Run technical sourcing across hard-to-fill, competitive AI and engineering roles
  • Track recruiting metrics and iterate on what's working

Benefits

  • This is a rare chance to own technical hiring at a fast-growing AI company in life sciences.

Company info

  • We're looking for someone who has the fire to prove others wrong.

This listing is sourced directly from Solstice's careers page and normalized into a canonical job model.