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UniversalAGI

Deploys autonomous AI agents for enterprises

Founding Technical Recruiter

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of full-cycle recruiting experience, with a strong track record of sourcing and closing technical talent in high-growth or highly competitive environments.
  • Demonstrated success recruiting senior individual contributors and leaders in areas such as AI/ML engineering, research science, software or systems engineering, simulation engineering, computational science, or similarly complex talent.
  • Expertise in technical sourcing using 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 learn complex domains quickly, translate technical requirements into effective search strategies, and have credible conversations with senior engineers and researchers.
  • Experience partnering with founders and technical leaders to define roles, assess tradeoffs, share market intelligence, and drive hiring decisions.
  • Ability to manage candidate experience with clarity, speed, and conviction.
  • Ability to manage multiple pipelines simultaneously and meet aggressive hiring targets.
  • Ability to engage passive candidates and build long-term talent networks.
  • Data-driven mindset and analytical skills to optimize recruiting funnels and improve conversion rates.
  • Comfort working in a high-intensity, fast-paced startup environment with evolving priorities, ambitious hiring goals, and tight deadlines.
  • Willingness to work onsite in San Francisco five days a week, with high availability when critical candidates are in play, including evenings and weekends when needed.
  • Ability to translate complex requirements into compelling narratives that attract technical candidates and work collaboratively across sourcing, coordination, closing, and employer branding.

Responsibilities

  • Own hiring across technical roles, including AI researchers, computational fluid dynamics engineers, physicists, applied mathematicians, deep-tech builders, and other technical positions.
  • Partner with functional leaders and the recruiting team to define hiring priorities, pressure-test candidate profiles, and close high-impact talent in competitive markets.
  • Source, engage, and close individual contributors and leaders across a broad range of company roles.
  • Build and execute creative sourcing strategies to identify talent in specialized areas such as automotive, aerospace, maritime, computational physics, applied mathematics, and full-stack engineering.
  • Own the candidate pipeline from initial identification through offer acceptance, managing more than 50 active candidates simultaneously while maintaining candidate experience.
  • Partner with the CEO and hiring managers to understand role requirements, ideal candidate profiles, and the competitive landscape, then execute recruiting plans.
  • Build and maintain a talent pipeline that stays weeks ahead of hiring needs.
  • Design and optimize recruiting workflows, tools, and processes that scale with company growth while maintaining quality; develop the playbook for future recruiters.
  • Track, analyze, and optimize recruiting metrics, including pipeline conversion rates, time to hire, source effectiveness, offer acceptance rates, and candidate quality scores.
  • Represent the company at conferences, meetups, and relevant communities to build its employer brand and talent network in AI and deep-tech communities.

Desired Qualifications

  • Prior experience recruiting for AI startups from Seed to Series C during hypergrowth from 0 to more than 100 employees.
  • Experience recruiting for AI, deep-tech, industrial technology, or research-focused startups.
  • Experience hiring candidates with advanced degrees from leading universities, research labs, or technical organizations.
  • Familiarity with simulation software, scientific computing, computational physics, computational fluid dynamics, numerical methods, or other physics-heavy engineering domains.
  • Experience building recruiting processes and infrastructure from scratch at early-stage startups.
  • An existing talent network within AI research, scientific computing, simulation engineering, or related technical communities.
  • Experience with employer branding initiatives and representing companies at conferences.

About the Company

UniversalAGI

Deploys autonomous AI agents for enterprises

UniversalAGI operates as a forward-deployed AI lab that builds and deploys autonomous AI agents for enterprises and government organizations. Its platform provides the infrastructure, talent, and security needed to turn business concepts into production-ready AI applications that work with an organization’s most sensitive data. The system includes a suite of agents and automation tools and can often convert a concept into a working app in under an hour using natural language inputs, with emphasis on security, scale, and adaptability. The company differentiates itself by embedding expert AI teams with clients to deliver mission-critical, production-grade AI—often in secure or air-gapped environments for sensitive national data—and by combining no-code capabilities with enterprise-grade AI transformations. UniversalAGI aims to enable rapid, secure AI adoption across both private and public sectors, delivering autonomous, reliable AI solutions for complex, data-sensitive challenges.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
Not listed

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