UniversalAGI · 2 days ago
Founding Deep Tech Technical Recruiter & Sourcer
San Francisco, CA
Contract
Onsite
Mid Level
$100K/yr - $200K/yr
3+ years expUniversalAGI is building OpenAI for Physics and is seeking a Founding Deep Tech Technical Recruiter & Sourcer. In this role, you will build the talent engine for the company, source specialized technical talent, and work directly with the CEO and founding team to drive the recruitment process.
Research
Hiring Manager
Ameer Haj Ali, PhD
Responsibilities
Source, engage, and close high volumes of specialized technical talent across AI/ML researchers, physics simulation engineers, CFD/FEA experts, and deep tech engineers at unprecedented speed
Build and execute creative sourcing strategies to identify talent in highly specialized niches: AI researchers working on physics-informed neural networks, CFD engineers from automotive/aerospace/maritime, computational physicists, applied mathematicians, and systems engineers
Own the entire candidate pipeline from initial identification through offer acceptance, managing 50+ active candidates simultaneously while maintaining exceptional candidate experience
Develop deep technical fluency in our domains (AI, CFD, physics simulation, numerical methods) to have credible conversations with senior technical talent and assess fit
Partner directly with the CEO & People Partner 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 our hypergrowth while maintaining quality—you'll build the playbook that future recruiters will follow
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 technical communities, building our employer brand and talent network in AI and deep tech circles
Qualification
Required
3+ years of high-volume technical recruiting or sourcing experience with proven track record of closing specialized talent quickly. You've personally closed 30+ technical hires and can demonstrate rapid pipeline-to-offer conversion
Expert in sourcing strategies and tools (LinkedIn Recruiter, JuiceBox, GitHub, Boolean search, X-ray searches, AI sourcing tools, research paper databases, conference attendee lists, etc.)
Demonstrated success recruiting for deep tech roles: AI/ML engineers, research scientists, simulation engineers, computational specialists, or similarly specialized technical talent
Strong technical fluency and ability to quickly learn complex technical domains to have credible conversations with senior engineers and researchers
Outstanding execution velocity and delivery— you move fast, manage multiple pipelines simultaneously, and consistently hit aggressive hiring 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, ambitious hiring goals, and tight deadlines
Preferred
Prior experience recruiting for AI startups (Seed to Series C) during hypergrowth phases (0-50+ employees)
Experience recruiting for simulation software companies (ANSYS, Siemens, Dassault Systèmes, Altair, etc.) or physics-heavy engineering roles
Background recruiting for research-focused roles (PhDs, postdocs, research scientists) from top universities and labs
Experience building recruiting processes and infrastructure from scratch at early-stage startups
Technical background or engineering degree that enables deeper technical conversations
Existing talent network in AI research, computational physics, or simulation engineering communities
Experience with employer branding initiatives and representing companies at technical conferences
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.
Immigration support.
Company
UniversalAGI
UniversalAGI is automating physical systems engineering across the entire product lifecycle with artificial intelligence.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase