Liquid AI

Liquid AI

Member of Recruiting Staff - Technical Recruiter

San Francisco · Staff+

Sponsorship not specifiedDetected 42 days ago
Machine LearningRecruitingResearch

About the role

  • Liquid AI is hiring fast across the business, and our high-output recruiting team is how we win the talent that defines us.
  • This is a full-cycle role in San Francisco, owning hiring across the full spectrum: engineering and research, product, solutions architecture, GTM, and G&A.
  • You will run your searches with high agency and minimal supervision, with a manager who will still mentor you.

Responsibilities

  • Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.
  • Recruiting here is a highly ambiguous, build-from-scratch environment.
  • Own full-cycle hiring across the spectrum as the in-person anchor in San Francisco, running on-sites and closing senior and executive hires face-to-face.
  • Coach stakeholders and partner with senior leaders and the C-suite to define brand-new roles before they kick off.
  • go beyond LinkedIn and build the evidence for why a candidate is the best, not just available.

Requirements

  • Brings genuine passion for the craft: You are eager to learn and grow.
  • Builder in ambiguity: you have defined roles, rubrics, and evaluation processes from scratch and coached hiring managers, including first-timers
  • you have defined roles, rubrics, and evaluation processes from scratch and coached hiring managers, including first-timers

Nice to have

  • Based in San Francisco and able to work from the office 4+ days per week and host candidate onsites
  • AI / ML or deep-tech recruiting experience
  • Demonstrated range across product, GTM, G&A, and customer-facing technical roles (or a clear, evidenced ability to flex into them)
  • You run independently, trusted with judgment calls, sustaining hiring quality and pace
  • New and ambiguous roles get clear, role-specific rubrics and evaluation loops, and hiring managers are measurably better at hiring because of how you coach them.
  • P0 roles close faster, and you have quality-of-hire and look-back loops running that feed back into our evaluation.
  • Strong ATS discipline (Ashby or comparable) plus recruiting-data rigor: structured screens, scorecards, calibrated loops, and accurate, reportable metrics (time-to-fill, pass-through, quality of hire)

Compensation

  • Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay

Benefits

  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
  • competing offers, equity education, total-compensation narrative, creative engagement, and in-person closes

Company info

  • We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
  • We are scaling rapidly and need exceptional people to help us get there.
  • We are hiring for most of these roles for the first time, so you will define brand-new roles, build the rubrics, coach stakeholders, and bring in exceptional people.

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