Engineering Recruitment - Technical Sourcer

San Francisco | Work Directly with CEO & Founding Team | Report to CEO | OpenAI for Physics | 5 Days Onsite

Founding Technical Sourcer

Compensation: Competitive Salary + Equity

UniversalAGI is building OpenAI for Physics. AI startup based in San Francisco and backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico). We're building foundation AI models for physics that enable end-to-end industrial automation from initial design through optimization, validation, and production.

We're building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial engineering. If you're passionate about AI, physics, or the future of industrial innovation, we want to hear from you.

As our founding Technical Sourcer, you'll be in the arena from day one, building the talent engine that will power UniversalAGI's hypergrowth. This is your chance to take everything you've learned about technical recruiting and use it to build a world-class team that will transform industrial engineering.

AI researchers, CFD engineers, physicists, applied mathematicians, and deep tech builders who are currently defining the cutting edge at places like OpenAI, NVIDIA, ANSYS, Siemens, Tesla, SpaceX, and top research labs.

This isn't passive recruiting. This is strategic talent acquisition at the highest level-finding needles in haystacks, building relationships with people who aren't looking, and closing candidates who have multiple competing offers.

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

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

This is a role for someone who's ready to solve some of humanity's hardest recruiting challenges, build a world-class talent engine from scratch, and define what exceptional technical recruiting looks like in the age of AI.

Qualifications 2+ 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: 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.

Bonus Qualifications

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.) 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.

Existing talent network in AI research, computational physics, or simulation engineering communities.

Experience with employer branding initiatives and representing companies at technical conferences.

Thrives in our unusually intense culture - willing to grind when needed to close critical hires

Ready to be deeply involved whenever critical candidates are in play-evenings, weekends when needed

Embraces the compounding returns of building talent networks and continuous process improvement

Startup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats (sourcing, coordinating, closing, employer branding)

Work Ethic: Willing to put in the extra hours when needed to close game-changing hires

Work on cutting-edge talent acquisition challenges finding the world's most specialized technical talent.

Competitive compensation with significant equity upside.

In-person first culture - 5 days a week in office with a team that values face-to-face collaboration.

Access to world-class investors and advisors in the AI space who can open doors to top-tier talent networks.

Competitive compensation and equity.

Competitive health, dental, vision benefits paid by the company.

Flexible vacation.

Team Building & Fun Activities.

Daily office lunch & dinner covered by the company.

Immigration support.

The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits.