---
title: 'Founding Technical Sourcer at UniversalAGI'
canonical: 'https://feeny.ai/job/founding-technical-sourcer-universalagi-san-francisco-pm2bwbm9sb0a'
type: 'job'
last_seen: '2026-09-08'
---

# Founding Technical Sourcer at UniversalAGI

- **Company:** UniversalAGI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/universalagi/d2010aec-7eb3-49b0-848f-398753683c24

## Job description

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

## FOUNDING TECHNICAL SOURCER

Location: Onsite in San Francisco

Compensation: Competitive Salary + Equity

## WHO WE ARE

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.

## ABOUT THE ROLE

As a 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.

You'll work directly with the founding team to identify, engage, and close the most specialized technical talent in the world: 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 strategically helping closing candidates who have multiple competing offers.

## WHAT YOU'LL DO

- Source, engage, and close high volumes of specialized technical talent spreading across AI/ML researchers, physics simulation engineers, 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 & Hiring Manager 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

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: 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.
- Deeply care about candidate experience. Managing candidate experience with a high bar for clarity, speed, and conviction
- 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 (0-100+ employees).
- Experience recruiting for software engineers, and from simulation software companies 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.

## CULTURAL FIT

- Technical Respect: Ability to earn respect through deep technical curiosity and genuine understanding of what makes engineers tick
- Intensity: Thrives in our unusually intense culture - willing to grind when needed to close critical hires
- Mission Obsession: Passionate about finding the absolute best talent to solve real problems, not just filling seats
- Deep Work: Values long, uninterrupted periods of focused sourcing and candidate engagement over meetings
- High Availability: Ready to be deeply involved whenever critical candidates are in play—evenings, weekends when needed
- Communication: Can translate complex technical requirements into compelling narratives that attract top talent
- Growth Mindset: 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
- Team Player: Collaborative approach with low ego and high accountability—you win when the team wins

## WHAT WE OFFER

- In-person first culture - 5 days a week in office with a team that values face-to-face collaboration. Opportunity to build the talent engine for a rapidly growing foundational AI company from the ground up.
- Work on cutting-edge talent acquisition challenges finding the world's most specialized technical talent.
- Direct collaboration with the founder & CEO and ability to influence company strategy and culture.
- Competitive compensation with significant equity upside.
- Access to world-class investors and advisors in the AI space who can open doors to top-tier talent networks.

## BENEFITS

We provide great benefits, including:

- 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.

## HOW WE'RE DIFFERENT

"The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly." - Teddy Roosevelt

At our core, we believe in being "in the arena." 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. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.

If you're ready to join the future of physics simulation, build a world-class team from scratch, and deliver impact, UniversalAGI is the place for you.

## About UniversalAGI

## Company Overview
- **One-liner**: UniversalAGI builds foundation models that automate physical systems engineering, enabling engineers to run AI-powered simulations in seconds instead of weeks.
- **Entity Type**: Private (Seed stage – raised a Private Equity round in July 2025 from a single investor)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Ameer Haj Ali (Founder & CEO), Cole A. Lindemann (Founding BizOps)

## Core Business
- **Primary industries**: AI/ML for engineering simulation (aerospace, automotive, energy, defense, biotech/pharma, industrial manufacturing, maritime)
- **Target customers**: Engineering teams at enterprises designing physical products (B2B, Enterprise)
- **Mission**: “We exist so that engineers can build a hundred-year future in this decade” – automate the entire product lifecycle (design, optimization, validation, production) using large physics models.

## Products & Services
- **UniversalAGI Simulation Platform**: An AI-native simulation engine that takes CAD input and delivers simulation results in ~10 seconds, eliminating traditional weeks-long meshing, HPC queuing, and post-processing workflows. The platform covers the full engineering lifecycle and supports industries from aerospace to semiconductors.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding – $X (amount undisclosed) raised in a Private Equity round on 2025-07-01 (1 investor)
- **Notable Investors/Partners**: Backers include Elad Gil (serial entrepreneur/investor), Eric Schmidt (former CEO of Google), Professor Ion Stoica (founder of Databricks, Anyscale), and Professor David Patterson (Turing Award winner). No formal partners disclosed yet.
- **Growth Signals**: Very early stage – 10 employees as of mid-2025; LinkedIn followers grew 1259% year-over-year; monthly traffic to website increased 8.1%; actively hiring for 6+ roles (ML engineers, product engineers, recruiters).

## Competitive Advantages
- **Speed**: Full simulation in seconds vs. weeks with traditional CAE tools (Ansys, Siemens, etc.)
- **AI-native approach**: No meshing, no HPC setup – one call from CAD to insight
- **Multidisciplinary team**: Combines AI researchers, infrastructure engineers, physicists, mechanical engineers, and simulation experts
- **Backing from legendary technologists**: Elad Gil, Eric Schmidt, Ion Stoica, David Patterson lend credibility and network

## Strategic Focus
- **Current priorities**: Building and scaling the foundation physics model; hiring top-tier ML and engineering talent; onboarding early enterprise customers in aerospace, automotive, and energy; iterating on product-market fit in a nascent category (“large physics models”).

## Why Work Here
- **Culture highlights**: Described as a “relentless” multidisciplinary team pioneering ML in physical engineering; flat structure with direct access to the CEO and founding team.
- **Remote/hybrid/office policy**: In-office (San Francisco, CA). All roles are on-site.
- **Notable perks**: Early-stage equity, chance to shape the product and company from the ground up, work on the frontier of AI + physics with world-class advisors.
- **Engineering culture**: Strong emphasis on ownership, shipping end-to-end, and collaborating across AI research, infrastructure, and customer solutions. Roles like “AI Product Engineer” and “ML Infrastructure Engineer” involve building the platform directly with the CEO.

## Sources
1. [universalagi.com](https://www.universalagi.com/)
2. [universalagi.com/company](https://www.universalagi.com/company)
3. [linkedin.com/company/universalagi](https://www.linkedin.com/company/universalagi)
4. [builtin.com/company/universalagi](https://builtin.com/company/universalagi)
5. [builtin.com/company/universalagi/jobs](https://builtin.com/company/universalagi/jobs)

## Other roles at UniversalAGI

- [Founding GTM and Business Recruiter](https://feeny.ai/job/founding-gtm-and-business-recruiter-universalagi-san-francisco-3a8beqxegk10) — San Francisco, CA
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-universalagi-san-francisco-y0mjkq82wzjy) — San Francisco, CA
- [Aerospace Simulation Engineer](https://feeny.ai/job/aerospace-simulation-engineer-universalagi-san-francisco-ska7s3srqs69) — San Francisco, CA
- [Maritime Hydrodynamics CFD Engineer](https://feeny.ai/job/maritime-hydrodynamics-cfd-engineer-universalagi-san-francisco-kkx84j97vxdz) — San Francisco, CA
- [Designer](https://feeny.ai/job/designer-universalagi-san-francisco-m4n0ygz8ps77) — San Francisco, CA
- [Technical Product Manager](https://feeny.ai/job/technical-product-manager-universalagi-san-francisco-166c5bqkn73n) — San Francisco, CA
- [AI Product Engineer](https://feeny.ai/job/ai-product-engineer-universalagi-san-francisco-ecy7mqndqsvp) — San Francisco, CA