--- title: 'Technical Program Manager (Science) at CuspAI' canonical: 'https://feeny.ai/job/technical-program-manager-science-cuspai-london-1gbwtxe6srq6' type: 'job' last_seen: '2026-09-04' --- # Technical Program Manager (Science) at CuspAI - **Company:** CuspAI - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-10 - **Last confirmed live:** 2026-09-04 - **Apply:** https://jobs.ashbyhq.com/cuspai/79551bc5-137b-4579-a6fc-7fafa5634037 ## Job description ## 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. - 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. ## BONUS POINTS (BUT NOT CRITICAL): - Practical 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. ## ADDITIONAL CONSIDERATIONS 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 - A competitive salary: We value and reward impact and growth - Equity in CuspAI: You have a stake in the success of the company - Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays - ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together - Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth - Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques - True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law. We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate. ## About CuspAI ## Company Overview - **One-liner**: CuspAI develops an AI-driven platform to discover and optimize advanced materials for industrial and scientific applications, aiming to compress billion-year natural processes into months. - **Entity Type**: Private (Series A / multiple venture rounds) - **Headquarters**: Cambridge, United Kingdom (20 Station Road, Cambridge, CB1 2JD) - **Founded**: 2024 - **Founders**: Dr Chad Edwards (CEO) and Prof. Max Welling (CTO) ## Core Business - Primary industries: Advanced materials, artificial intelligence, chemistry, engineering - Target customers: B2B – Enterprise R&D teams in semiconductors, automotive, energy, chemicals, and high-tech manufacturing (e.g. ASML, Meta, Hyundai, Kemira) - Mission: “Unlock trillion‑dollar materials breakthroughs in months, not millennia” by using AI to create an on‑demand materials era. ## Products & Services - **Molecular search engine / AI materials discovery platform**: An AI model that screens and generates novel molecules with desired properties (conductivity, strength, heat resistance) and validates them through simulation. The platform is 10× faster than conventional methods. Integrated with Widom insertion simulations (open‑source package `widom`). ## Market Standing - **Valuation**: ~$2.6 billion (according to Financial Times reports in June 2026, citing a new $400 million funding round backed by Jeff Bezos) - **Key Metric (Total Funding)**: Conflicting reports – LinkedIn shows $330 million to date (Seed $30M, Series A $100M, Venture Round $200M); CB Insights lists $130 million raised (excluding the latest $200M+ round). The most recent round (June 2026) is reportedly $400 million at a $2.6 billion valuation. - **Notable Investors/Partners**: Temasek, Hoxton Ventures, Lightspeed Venture Partners, Giant Ventures, Northzone, NEA, Kleiner Perkins, Bezos Expeditions, Nvidia, Samsung, Hyundai. Advisors include Nobel laureate Geoffrey Hinton and Yann LeCun. - **Growth Signals**: Headcount of 52 employees (+123.3% YoY, +11.7% monthly growth); 7 active job postings (+600% YoY); offices in Cambridge, Amsterdam, and Singapore; clients like ASML, Meta, Hyundai, and Kemira. ## Competitive Advantages - **World‑class founding team** – Most cited AI, chemistry, and engineering researchers globally. - **AI‑native approach** – Proprietary molecular search engine that is 10× faster than conventional materials discovery. - **Advisory board** – Nobel Prize winners (Geoffrey Hinton) and top AI pioneers (Yann LeCun, Kristin Persson). - **Talent pipeline** – Many hires from Google DeepMind, Isomorphic Labs, Microsoft, and Imperial College London. - **Strategic partnerships** – Deep ties with chipmakers (Nvidia, ASML), automotive (Hyundai), and chemical firms (Kemira). ## Strategic Focus - Scaling the platform to serve more enterprise R&D departments globally. - Expanding physical presence to Asia (Singapore office for scientific applications). - Investing heavily in compute capacity at hyperscalers and recruiting top AI/ML engineers. - Developing autonomous AI agents for materials research. ## Why Work Here - **Culture & engineering**: Frontier AI research environment with deep roots in academia and big tech (Google DeepMind, Microsoft). Emphasis on agent‑based RL and force‑field simulation. - **Work policy**: Hybrid – employees work a mix of remote and on‑site (offices in Cambridge, Amsterdam, Singapore, Germany). Typical on‑site time varies by role. - **Perks & growth**: Competitive compensation (VC‑backed with substantial funding); high autonomy and impact in a fast‑growing company (+123% headcount YoY). Open‑source contributions (GitHub repos `widom` and `tonno`). - **Talent signals**: Many employees previously at Dassault Systèmes, Isomorphic Labs, Quantinuum, and top universities; alumni go on to MIT, Mistral AI, Black Forest Labs. ## Sources 1. [cusp.ai](https://www.cusp.ai/) – Company website, leadership team, mission statement 2. [linkedin.com](https://www.linkedin.com/company/cusp-ai) – Headcount, financials, talent sources, open positions 3. [cbinsights.com](https://www.cbinsights.com/company/cuspai) – Valuation, funding rounds, news (including FT report) 4. [builtin.com](https://builtin.com/company/cuspai) – Company overview, hybrid policy, office locations 5. [github.com](https://github.com/Cusp-AI) – Open‑source repositories, organization details 6. (FT report cited in CB Insights) – “CuspAI to be valued at £2bn as Jeff Bezos invests” ## Other roles at CuspAI - [Applied AI/ML Engineer (Agents)](https://feeny.ai/job/applied-ai-ml-engineer-agents-cuspai-amsterdam-j0mk0xedxhmf) — Amsterdam, Netherlands - [Technical Program Manager (AI/ML)](https://feeny.ai/job/technical-program-manager-ai-ml-cuspai-berlin-rwvx6zm2n5j2) — Berlin, Germany - [Senior Talent Partner (Singapore)](https://feeny.ai/job/senior-talent-partner-singapore-cuspai-singapore-1p1fttk332mc) — Singapore - [Head of Data](https://feeny.ai/job/head-of-data-cuspai-singapore-6czn2621jer9) — Singapore - [Foundry Partnerships Manager](https://feeny.ai/job/foundry-partnerships-manager-cuspai-london-zjp5f9ecg1kb) — London, United Kingdom - [Scientific Developer Relations Manager](https://feeny.ai/job/scientific-developer-relations-manager-cuspai-london-f3n7tc1w5wnm) — London, United Kingdom - [MLFF Distillation & GCMC Integration - Internship](https://feeny.ai/job/mlff-distillation-gcmc-integration-internship-cuspai-london-7hsea26xa7bn) — London, United Kingdom - [Data Engineer](https://feeny.ai/job/data-engineer-cuspai-london-va127px4k277) — London, United Kingdom - [Applied ML Researcher (Force Fields and Simulation)](https://feeny.ai/job/applied-ml-researcher-force-fields-and-simulation-cuspai-amsterdam-d21hzv62q071) — Amsterdam, Netherlands - [Product Engineer](https://feeny.ai/job/product-engineer-cuspai-london-5gr5r86adyz0) — London, United Kingdom