Founding Marketer
Universalagi
| Company | Universalagi |
| Category | Marketing |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 8 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
📍 San Francisco | Work Directly with CEO & Founding Team | Report to CEO | OpenAI for Physics | 🏢 5 Days Onsite (with flexibility to travel for weeks at a time as needed)
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 our Founding Marketer, you will be the owner of marketing at UniversalAGI. You'll need to be a self-starter, comfortable building from the ground up. This is your chance to take everything you have learned about marketing hard technology to sophisticated and technical buyers, and use it to define how the world understands what we are building and how quickly the right customers find us. You will work directly with the CEO, researchers, engineers, GTM lead, and product. You will own everything from demand generation and GTM execution to brand, design, and storytelling.
What You'll Do
- Build and execute the GTM marketing motion in close partnership with our GTM and product team. Run targeted, multi-channel campaigns end to end, from paid and lifecycle channels to coordinated launches, developing the messaging, positioning, and proof points that shorten sales cycles.
- Own the full channel mix across digital and physical. From website and social to targeted out-of-home, trade media, and precision plays that put us in front of the exact right people. You inform and own the website, know where our buyers are, and keep an eye toward emerging channels as AI reshapes how buyers discover and evaluate technology.
- Define and build the UniversalAGI brand from where it stands today: narrative, voice, positioning, and visual identity in a category that does not yet have established market language. Brand serves the pipeline it is meant to build.
- Work alongside our research team to turn technical output, benchmarks, and findings into content that builds credibility with the engineering and scientific communities who are our buyers and our future talent.
- Own the full cycle of designing and delivering marketing collateral. Pitch decks, one-pagers, sales enablement materials, case studies, visual and video assets. The bar for craft is high and you will be the one holding it.
- Plan and execute our presence at conferences, industry events, and AI research venues, including the judgment to choose which ones matter and the craft to design a booth people remember. That same eye extends to how we show up as a company at the events and spaces we host ourselves.
- Drive earned media and press relationships. Build the external credibility of UniversalAGI through strategic outreach to journalists, analysts, and community voices who reach our audience.
- Own early customer storytelling. Capture proof points, build case studies, and develop the customer narrative that gives the next buyer confidence before the first call.
- Own talent brand as a natural extension of company marketing. The assets, events, and presence you build to reach customers should work equally hard to attract the researchers and engineers we need to hire
Qualifications
- 5-10 years of experience, including time as a first or early marketing hire at a technical AI or deep tech company
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