Technical Program Manager (Science)
Quick Summary
You possess a strong background in a Natural Science, Computer Science, Software Engineering, AI/ML, or related field.
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.
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.
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.
Responsibilities
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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.
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Translate scientific and business objectives into executable plans, aligning commercial, research and engineering teams.
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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.
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Own planning and delivery of projects; calculating compute, managing resources & dependencies, mapping out timelines, and managing risks to ensure successful outcomes.
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.
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.
Requirements
~1 min readYou possess a strong background in a Natural Science, Computer Science, Software Engineering, AI/ML, or related field.
Proven experience as a Technical Program Manager in a scientific or AI/ML environment, with a clear sense of where the opportunities and challenges in the field lie.
Technical fluency across model architecture, cloud infrastructure, and the software development lifecycle.
Strong leadership and facilitation capabilities for managing cross-functional teams.
The ability to navigate high levels of ambiguity and maintain cohesion across multi-disciplinary teams (AI, Chemistry, and Engineering).
Excellent stakeholder management skills with the ability to influence both highly technical researchers and non-technical partners at varying levels of seniority.
Strategic thinking and problem-solving skills with comfort navigating ambiguity and changing priorities.
Experience managing technical external-facing customer projects.
Nice to Have
~1 min readPractical experience or an academic background in Materials Science, Experimental Chemistry, or Physics.
Hands-on experience with high-performance computing (HPC) infrastructure or scientific data management.
Experience with molecular simulation software, quantum chemistry packages, or cheminformatics tools.
This role will be based in our London or Cambridge office, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations (Amsterdam and Berlin) for collaboration and project work.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 10, 2026
- First seen
- August 10, 2026
- Last seen
- August 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- August 10, 2026
Signal breakdown
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