Member of Recruiting Staff - Technical Recruiter

ABOUT LIQUID AI

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. 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.

THE OPPORTUNITY

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.

Recruiting here is a highly ambiguous, build-from-scratch environment. Many of the roles you will run are first-of-kind for Liquid, so you will define brand-new roles, build the rubrics, coach stakeholders, and bring in exceptional people. You will run your searches with high agency and minimal supervision, with a manager who will still mentor you.

WHAT WE'RE LOOKING FOR

We need someone who:

- Operates as a talent partner, not just a recruiter: You measure yourself by what is best for the business, not seats filled.

- Builds in ambiguity: You are energized by undefined problems and create structure where there is none.

- Prioritizes strategically: You read the data, anticipate where a search will stall, and put your time where it creates the most leverage.

- Runs with high agency, and is still learning: You thrive with minimal supervision, want a manager who will mentor and stretch you, and it is obvious you will reach full strategic scope even if you are not there on day one.

THE WORK

- 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.

- Identify the best talent: go beyond LinkedIn and build the evidence for why a candidate is the best, not just available.

- Build rigorous, role-specific evaluation from scratch: define what 'good' looks like, assessing for the attributes and values that predict success, not just skills, and make the process itself a reason candidates want to join.

- Win competitive closes: sharpen the value proposition, build the total-compensation narrative, and bring the candidates that matter in to close face-to-face.

- Close the loop on quality and run a clean operation: measure quality of hire, run look-backs, gather market intel along the way, keep Ashby data reportable, and document process in Notion.

- Work inside an AI-native recruiting stack: intake notes become a Hiring Blueprint, a job description, and a screen guide in days rather than weeks, screens score against role-specific rubrics, and your time goes to judgment and relationships instead of paperwork.

DESIRED EXPERIENCE

Must-have:

- Proven depth in full-cycle recruiting for research, engineering, or other deeply technical roles, with the seniority to own complex searches end-to-end.

- A track record of winning competitive closes: competing offers, equity education, total-compensation narrative, creative engagement, and in-person closes

- Builder in ambiguity: you have defined roles, rubrics, and evaluation processes from scratch and coached hiring managers, including first-timers

- 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)

- Based in San Francisco and able to work from the office 4+ days per week and host candidate onsites

Nice-to-have:

- AI / ML or deep-tech recruiting experience

- Early-stage (seed to Series C) team-building experience, where you helped build the motion rather than execute a mature playbook

- Experience building quality-of-hire and retention loops: onboarding check-ins, hire look-backs, and calibration back into evaluation

- Demonstrated range across product, GTM, G&A, and customer-facing technical roles (or a clear, evidenced ability to flex into them)

WHAT SUCCESS LOOKS LIKE (YEAR ONE)

- You own and close a full book across engineering, product, solutions architecture, GTM, and G&A end-to-end

- 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.

WHAT WE OFFER

- Real ownership with a direct mentor and room to grow: Run your searches end to end, and your judgment directly shapes who joins Liquid as we scale.

- 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

- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year