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Technical Program Manager (Science)

Cuspai London, UKEst. Est. GBP 75,000–110,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Stakeholder Management
About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock. We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters. We’re on the cusp of the on-demand materials era. Join us. The Role Due to rapid growth, we are seeking a Technical Program Manager with a strong technical or scientific background (Natural Science, Computer Science, Software Engineering and/or AI/ML) to join our team in Cambridge or London. You will be a key driver of technical cohesion, bridging the gap between our research and the physical implementation of next-generation materials. Your Impact In this role you will be building and executing the program management framework that accelerates cutting-edge scientific research and tool/model development, which is critical for translating scientific objectives into real-world, scalable materials breakthroughs. As a member of our growing team of TPMs, you will work closely with our internal technical teams on coordinating complex scientific campaigns and also manage scoping and delivery of high-stakes customer projects. You will also be involved in establishing more sophisticated, scalable processes for model development lifecycles and improvements to end to end technical delivery. What You Will Do Program Leadership & Research Integration Lead internal technical programs across frontier research, AI/ML model development, data workflows, and machine learning infrastructure, acting as the connective tissue between materials scientists, AI researchers and engineers. Translate scientific and business objectives into executable plans, aligning commercial, research and engineering teams. Close the loop between experimental results and the AI research cycle, translating lab findings back into the model development process to continuously improve accuracy and accelerate discovery. Own planning and delivery of projects; calculating compute, managing resources & dependencies, mapping out timelines, and managing risks to ensure successful outcomes. Partner & Customer Collaboration Lead technical programs with industry partners and research institutions, serving as a primary program contact for our external partners during the execution and delivery of projects. Facilitate technical discussions between internal teams and external stakeholders. Drive project scoping and proposal writing in collaboration with the partnerships and technical teams. Manage joint development initiatives and coordinate customer pilot programs from conception through to deployment. Process & Operations Work closely with the rest of the global TPM team to refine scalable processes. Implement metrics for tracking technical milestones and program outcomes. Coordinate compliance and regulatory considerations across programs. Support intellectual property (IP) and scientific publication processes. Foster interdisciplinary team culture and own change management to successfully scale the organisation. Use data to drive continuous improvements to internal and customer facing processes. Must Have Skills and Qualifications: You possess a strong background in a Natural Science, Computer Science, Software Engineering, AI/ML, or related field.

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