Founding GTM Lead - Aerospace & Defense

📍 San Francisco | 🏢 5 Days Onsite + Field Travel

Location: Onsite in San Francisco, with travel to customer sites and industry events.

Compensation: Competitive Base Salary + Commission + Equity

Engineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world.

We are a team of 25 researchers and engineers in San Francisco 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).

As our Founding GTM Lead for Aerospace & Defense, you'll be in the arena from day one, building UniversalAGI's business with the defense primes and defense technology companies designing the next generation of aircraft, missiles, ships, and autonomous systems. This is your chance to take everything you've learned selling into these organizations and use it to bring a new category of engineering software to the buyers who need it most.

Our Large Physics Models are already running in live deployments with major defense primes, turning simulations that take days into results in seconds. You'll work directly with the CEO and founding GTM team to turn those early wins into a repeatable motion: mapping the market, building the playbook, and closing deals yourself long before there's a team to hand them to. The bar is simple: customers should walk out of a first meeting saying “we need to buy this.

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• • Experience selling simulation, CAE, or other engineering software specifically (CFD, FEA, or digital engineering).

  • Hands-on engineering experience inside a prime or aerospace company (design, analysis, or flight test).

  • Advanced technical degree (MS or PhD in aerospace, mechanical, or a related engineering field).

  • Active U.S. security clearance.

  • Experience selling AI or machine learning products to engineering organizations.

  • Prior experience at an early-stage startup building a GTM function from scratch.

  • Relationships with commercial aerospace and space companies in addition to defense.

“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.