Solutions Engineer – Partnerships

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FirstPrinciples

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🔬 Science

☁️ SaaS

Artificial Intelligence • Science • SaaS

FirstPrinciples is a research company building AI systems for discovery in fundamental science. It develops domain-specialized models and tools (branded Theo: Theo Collaborator, Theo Conjecture, and Theo, the AI Physicist) to assist the scientific process—hypothesis generation, symbolic reasoning, tool integration, validation loops, and reproducible research objects. The company emphasizes transparency, stewardship of knowledge as a public good, and alignment with the scientific community. Technical claims include multiple fine-tuned models across physics domains, a model family with 120B+ parameters trained on a curated corpus of 3M+ scientific papers, and internal experiments in areas like quantum information.

📋 Description

• Identify, develop, and close strategic partnerships across AI labs, infrastructure providers, and research organizations • Lead partnership conversations end-to-end, from initial outreach through negotiation and execution • Own the technical structuring of partnerships, defining what is exchanged (data, compute, tooling) and how it flows between systems • Work closely with engineering and research teams to translate internal needs into clear external partnership requirements • Negotiate integration details at a granular level (e.g., APIs, data schemas, infrastructure constraints, usage terms) • Ensure partnerships are operationalized effectively, moving from agreement to real, working integrations • Build long-term relationships with partners and continuously identify opportunities to deepen collaboration

🎯 Requirements

• Experience in partnerships, business development, solutions engineering, or sales engineering roles • Strong technical fluency; comfortable discussing APIs, data flows, infrastructure, and system integrations • Ability to bridge business and technical conversations, moving seamlessly between high-level strategy and detailed implementation • Background in physics, mathematics, or a related scientific field, with an ability to engage credibly with researchers • Strong negotiation skills, including the ability to work through detailed, line-by-line technical and commercial terms • Comfortable operating in ambiguous, early-stage environments and shaping how partnerships are built from the ground up • Motivated by working on complex, long-term problems at the intersection of science and technology

🏖️ Benefits

• The opportunity to work on foundational problems at the intersection of AI and physics • A high-trust, low-bureaucracy environment with real ownership • Remote-first work with flexibility in how you structure your day • Exposure to cutting-edge ideas across AI, scientific discovery, and emerging technologies • A culture that values curiosity, depth of thinking, and first-principles reasoning • The chance to contribute to work aimed at advancing fundamental science