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UniversalAGI

Deploys autonomous AI agents for enterprises

Technical Sourcer

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

About the Job

Requirements

  • At least 2 years of high-volume technical recruiting or sourcing experience, with a proven record of closing specialized talent quickly; must have personally closed 30 or more technical hires and demonstrate rapid pipeline-to-offer conversion.
  • Expertise in sourcing strategies and tools, including LinkedIn Recruiter, JuiceBox, GitHub, Boolean search, X-ray searches, AI sourcing tools, research paper databases, and conference attendee lists.
  • Demonstrated success recruiting for deep-tech roles such as AI/ML engineers, research scientists, simulation engineers, computational specialists, or similarly specialized technical talent.
  • Technical fluency and ability to quickly learn complex technical domains to hold credible conversations with senior engineers and researchers.
  • Ability to manage candidate experience with clarity, speed, and conviction.
  • Ability to manage multiple pipelines simultaneously, move quickly, 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 fast-paced startup environments with evolving priorities and tight deadlines.
  • Ability to work in person in the office five days a week and be available for critical candidates during evenings and weekends when needed.
  • Ability to translate complex technical requirements into compelling narratives.
  • Comfort with ambiguity, rapid change, and performing sourcing, coordination, closing, and employer-branding work as needed.

Responsibilities

  • Source, engage, and close high volumes of specialized technical talent across AI/ML research, physics simulation, and deep-tech engineering.
  • Build and execute creative sourcing strategies for specialized candidates, including AI researchers working on physics-informed neural networks; computational fluid dynamics engineers in automotive, aerospace, and maritime fields; computational physicists; applied mathematicians; and systems engineers.
  • Own the candidate pipeline from initial identification through offer acceptance, managing more than 50 active candidates while maintaining candidate experience.
  • Develop technical fluency in AI, computational fluid dynamics, physics simulation, and numerical methods to conduct credible conversations with senior technical talent and assess fit.
  • Partner with the CEO and hiring manager to understand role requirements, candidate profiles, and the competitive landscape, then execute recruiting efforts.
  • 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, and create 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 technical 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 through Series C during hypergrowth, from 0 to more than 100 employees.
  • Experience recruiting software engineers and candidates from simulation software companies or physics-heavy engineering roles.
  • Experience recruiting research-focused roles, including PhDs, postdoctoral researchers, and research scientists, from top universities and laboratories.
  • Experience building recruiting processes and infrastructure from scratch at early-stage startups.
  • A technical background or engineering degree to support deeper technical conversations.
  • An existing talent network in AI research, computational physics, or simulation engineering communities.
  • Experience with employer-branding initiatives and representing companies at technical 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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