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Technical Recruiter

UniversalAGI· Talent & Operations
Apply on company site
San FranciscoFull-timePosted 1mo ago

About the role

Technical Recruiter responsible for building UniversalAGI's technical talent engine, partnering with the CEO and hiring managers to recruit AI researchers, CFD engineers, physicists, and other deep-tech roles in a fast-growing startup.

Responsibilities

  • Source, engage, and close individual contributors and leaders for a broad range of roles at UniversalAGI
  • Build and execute creative sourcing strategies to identify talent in specialized niches like automotive/aerospace/maritime, computational physicists, applied mathematicians, and full stack engineers
  • Own the entire candidate pipeline from initial identification through offer acceptance, managing 50+ active candidates simultaneously while maintaining exceptional candidate experience
  • Partner directly with the CEO & Hiring Managers to understand role requirements, ideal candidate profiles, and competitive landscape—then execute with relentless urgency
  • Build and maintain a robust talent pipeline that stays weeks ahead of hiring needs, ensuring we never slow down due to lack of qualified candidates
  • Design and optimize recruiting workflows, tools, and processes that scale with hypergrowth while maintaining quality
  • Track, analyze, and optimize key recruiting metrics: pipeline conversion rates, time-to-hire, source effectiveness, offer acceptance rates, and candidate quality scores
  • Represent UniversalAGI at conferences, meetups, and relevant communities, building employer brand and talent network in AI and deep tech circles

Qualifications

  • 5+ years of full-cycle recruiting experience, with a strong track record of sourcing and closing exceptional technical talent in high-growth or highly competitive environments
  • Demonstrated success recruiting senior individual contributors and leaders across AI/ML engineers, research scientists, software or systems engineers, simulation engineers, computational scientists, or similarly complex talent
  • Expertise in technical sourcing through tools and channels such as LinkedIn Recruiter, GitHub, Boolean and X-ray search, AI sourcing tools, research publications, conferences, professional communities, and referrals
  • Strong technical curiosity and ability to quickly learn complex domains, translate technical requirements into effective search strategies, and have credible conversations with senior engineers and researchers
  • Exceptional partnership and communication skills, including experience working directly with founders and technical leaders to define roles, assess tradeoffs, share market intelligence, and drive hiring decisions
  • Deeply care about candidate experience, with a high bar for clarity, speed, and conviction
  • Outstanding execution velocity and delivery, able to manage multiple pipelines and hit aggressive targets
  • Exceptional communication and relationship-building skills, capable of engaging passive candidates and building long-term talent networks
  • Data-driven mindset with strong analytical skills to optimize recruiting funnels and improve conversion rates
  • Comfortable working in high-intensity, fast-paced startup environments with evolving priorities and tight deadlines

Skills

Required:Full-cycle recruitingTechnical sourcingStakeholder management

Benefits

  • Competitive compensation and equity
  • Competitive health, dental, vision benefits paid by the company
  • 401(k) plan offering
  • Flexible vacation
  • Team Building & Fun Activities
  • Great scope, ownership and impact
  • AI tools stipend
  • Monthly commute stipend
  • Monthly wellness/fitness stipend
  • Daily office lunch & dinner covered by the company
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About UniversalAGI

Foundation models for automating physical systems engineering

The platform for engineering teams building and operating Physics AI at scale. Predict aerodynamic performance, structural loads, and thermal behavior in seconds.

PlatformAI simulationUncertainty QuantificationLIFT Volume TokenizationCalibrated UncertaintySUV-PTAerospaceDefense

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