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# Technical Program Manager (AI/ML)

- **Company:** CuspAI
- **Location:** Berlin, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Machine Learning, Molecular Modeling, Software Engineering, Data Management
- **Published:** November 9, 2026
- **Apply:** https://www.adzuna.de/details/5958365564

## About the Role

* You possess a strong background in AI/ML and/or a related Natural Science field.
 * Proven experience as a Technical Program Manager specifically within the AI/ML domain, including a deep understanding of model architecture, cloud computing best practices 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.

Bonus Points (But Not Critical):

 * Experience with molecular simulation software, quantum chemistry packages, or cheminformatics tools.
 * 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.

## Description

Due to rapid growth, we are seeking a Technical Program Manager with an AI/ML background to join our team in Berlin. 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 AI/ML frontier research and platform capability 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 technical teams on internal initiatives and also manage high-stakes customer projects. Your main focus initially will be coordinating complex technical campaigns in frontier AI/ML research focused on developing novel materials, and over time you will likely get involved in establishing more sophisticated, scalable processes for model development lifecycles.

What You Will Do

Program Leadership & Research Integration

 * Lead internal technical programs across AI/ML model development, frontier research, data workflows, and machine learning infrastructure, acting as the connective tissue between AI researchers and materials scientists.
 * 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.