Job Overview
Location
London, UK
Job Type
Full-time
Category
Business Development
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Lead the development of CuspAI’s R&D supply chain across EMEA by securing strategic partnerships that provide critical access to compute infrastructure, experimental data, and laboratory facilities.
- • Negotiate and manage high-value compute agreements with major cloud providers to ensure AI researchers have scalable, cost-effective infrastructure aligned with technical roadmaps and budget constraints.
- • Monitor and optimize existing compute usage agreements to maximize efficiency and align with the company’s growing research demands.
- • Identify, negotiate, and close partnerships with leading academic institutions and research labs to gain access to proprietary experimental data and specialized facilities for materials discovery.
- • Establish formal data-sharing agreements with scientific publishers to enable seamless ingestion of research data into CuspAI’s AI-driven materials search engine.
- • Navigate complex IP and technology transfer frameworks within academic and research environments to ensure mutually beneficial, legally sound outcomes.
- • Collaborate with the research team to deeply understand technical requirements for data, compute, and laboratory access, translating these into compelling partnership proposals.
- • Identify and lead the commercial and partnership components of grant applications targeting large-scale scientific initiatives, including Horizon Europe and Innovate UK.
- • Cultivate and maintain strategic relationships with funding bodies and consortium stakeholders to position CuspAI as a preferred partner in emerging scientific funding programs.
- • Work closely with the Head of Partnerships and cross-functional leadership to align partnership priorities with company milestones and overall strategic objectives.
- • Liaise with Legal and Finance teams to ensure all partnership agreements are robust, compliant, scalable, and risk-mitigated.
- • Build partnership frameworks from scratch in a high-growth, early-stage environment with autonomy and resilience.
- • Represent CuspAI at industry events, academic conferences, and partner site visits across EMEA to strengthen external relationships and promote collaboration.
- • Travel regularly to partner sites, universities, and laboratories to facilitate collaboration, negotiate agreements, and support joint research initiatives.
- • Operate with a strong technical understanding of materials science, chemistry, physics, or related fields to communicate fluently with researchers and technical partners.
- • Translate high-level scientific goals into clear commercial value propositions that attract and retain key academic and industrial partners.
- • Contribute to shaping CuspAI’s long-term grant strategy and multi-party research collaborations involving world-leading experimental labs.
🎯 Requirements
- • Seasoned negotiator with experience in strategic partnerships, business development, or technology transfer, preferably within deep-tech or high-growth AI environments
- • Proven experience directly managing cloud provider agreements for compute infrastructure
- • Strong technical background with a degree in Materials Science, Chemistry, Physics, Mathematics, Life Sciences, or related field (Masters or PhD preferred)
- • Expert communicator who can translate scientific goals into compelling commercial proposals
- • Ability to operate autonomously in an early-stage environment, building partnership frameworks from scratch
- • Exposure to AI Agents, MCP (Model Context Protocol) interfaces, or related technologies
🏖️ Benefits
- • Competitive salary tied to impact and growth
- • Equity in CuspAI
- • 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), plus local public holidays
- • Gold Standard parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay
- • Professional development budget for career advancement and skill growth
- • Opportunity to solve meaningful problems with direct impact on sustainability, climate, and materials science
Skills & Technologies
Onsite
Degree Required
About Cusp AI Ltd
Cusp AI is a Cambridge-based startup applying generative artificial intelligence and deep learning to the discovery and design of next-generation materials for carbon capture, hydrogen storage and other clean-energy applications. The company combines physics-informed models, molecular simulation and high-throughput cloud computing to predict and optimize porous frameworks such as metal-organic frameworks and covalent organic frameworks, dramatically reducing the time and cost needed to identify candidates for scalable carbon dioxide removal. Founded in 2023 by ex-Google researchers, Cusp AI collaborates with national laboratories and industrial partners to translate AI-generated molecules into pilot-scale demonstrations.
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