Founding Enterprise GTM Lead
Elorian
Founding Enterprise GTM Lead
Elorian
Builds multimodal visual-reasoning AI models
We are a well-funded, early-stage AI research and product lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers—including Andrew Dai, previously an engineering leader on Gemini—our mission is to push the frontier of visual and multimodal intelligence. Our first model, Glimpse, launched publicly in October 2026.
Our team currently consists of 25 world-class scientists and engineers. We raised a $55M seed round led by Altimeter Capital, Menlo Ventures, Striker VC, and NVIDIA. We are tackling foundational problems in artificial intelligence and translating cutting-edge multimodal research into scalable, real-world systems.
We are building foundational AI systems for technical teams to build upon. Deal size, pilot momentum, and pipeline complexity have accelerated, and we are looking for our first dedicated enterprise commercial leader.
As our Founding Enterprise GTM Lead, you will be the strategic architect and primary execution driver of our entire commercial engine. In the near term, you will personally own and close our largest, most complex enterprise contracts, navigating security, legal, procurement, and executive negotiation end-to-end. Simultaneously, you will build our 0-to-1 Go-to-Market foundations: defining our core value proposition, carving out target buyer personas, packaging our model capabilities into commercially viable products, and setting up the repeatable sales motions that will underpin our long-term scale.
Define Value Propositions & ICP: Translate frontier multimodal research into compelling, ROI-driven business narratives, customer segmentation frameworks, and competitive positioning against incumbent foundation models.
Lead Full-Cycle Flagship Deals: Personally quarterback high-stakes enterprise sales from outreach through InfoSec, procurement, and legal negotiation to close 7- and 8-figure contracts.
Architect Pricing & Packaging: Design and formalize hybrid commercial models balancing platform access fees, dedicated compute reserves, and consumption-based token pricing.
Convert High-Value Technical Pilots: Partner with Research and Forward-Deployed Engineering to scope paid PoCs with quantitative performance benchmarks and pre-negotiated production conversion terms.
Drive R&D Feedback Loops & Scaling: Synthesize enterprise market requirements to shape product and evaluation roadmaps while establishing the playbook to hire and scale our future commercial team.
Enterprise Closer with Strategic GTM Acumen: Proven track record of carrying a quota and closing complex, seven-figure technical enterprise deals, combined with experience crafting 0-to-1 GTM strategy.
Value-Led Technical Positioning: Demonstrated ability to translate raw technical primitives and frontier model benchmarks into clear business cases and strategic value propositions for C-level buyers.
Model & Infrastructure Literacy: Deep fluency selling developer-centric or infrastructure products (APIs, foundation models, compute platforms, or ML tooling) embedded directly into core technical stacks.
0-to-1 Builder Mentality: Comfort navigating ambiguity without existing playbooks, collateral, or enablement teams—thriving while building pitch decks, MSA redlines, and sales processes from scratch.
Cross-Functional Technical Gravitas: Ability to command respect with enterprise CTOs and InfoSec teams while collaborating seamlessly with forward-deployed engineers.
Vertical Domain Depth: Existing enterprise network and domain fluency in high-potential multimodal verticals such as autonomous systems, robotics, video/media intelligence, medical imaging, content safety, or gaming.
Usage-Based Commercialization: Direct experience structuring, modeling, and closing hybrid usage/consumption-based pricing structures alongside annual platform commitments.
Early-Stage Foundation Model Experience: Prior experience as a founding or early GTM hire at an AI/ML research lab, developer platform, or frontier model startup.
Elorian focuses its research on building multimodal AI models that can reason about the real world directly from visuals, rather than translating images into text first. The company develops native visual-reasoning models that understand images, spatial relationships, and physical-world constraints to support applications such as robotics, engineering, architecture, automotive design and medicine. Their approach centers on open-source model development and plan to release a public model within about a year, alongside early customer use cases. Elorian differentiates itself by targeting genuine visual reasoning tied to physical-world decisions, leveraging a strong academic and industry leadership team, and presenting a path from research to real-world applications. The company aims to provide practical visual-reasoning tools that can help machines interpret and act in the physical environment across multiple industries.
Explore more opportunities at Elorian