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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI Materials Foundry programs, translating scientific and business objectives into actionable plans, and managing cross-functional teams in a complex, interdisciplinary environment. Proficient in stakeholder management, project scoping, and implementing metrics for program success.
Highest-signal resume keywords
Technical Program ManagementAI/ML ExperienceStakeholder ManagementLeadership in Cross-Functional TeamsMaterials Science Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Natural Science BackgroundComputer Science BackgroundSoftware EngineeringProject ScopingMetrics ImplementationRegulatory ComplianceData AnalysisMolecular Simulation SoftwareQuantum Chemistry PackagesCheminformatics Tools
Soft Skills
Strategic ThinkingProblem-SolvingFacilitation SkillsChange ManagementInterdisciplinary Team Culture
Tools & Technologies
Cloud InfrastructureSoftware Development LifecycleAI Model Architecture
Industry Keywords
Materials ScienceExperimental ChemistryPhysicsSemiconductor FoundryElectronics Materials SupplierJoint Development InitiativesCustomer Pilot Programs
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead AI Materials Foundry programs across a global network of industry and laboratory partners toward materials discovery
- Translate scientific and business objectives into executable plans aligned across commercial, research, and engineering teams
- Own planning and delivery of Foundry initiatives and events, including resources, dependencies, timelines, and risks
- Lead technical programs with industry partners and research institutions as the primary program contact during execution and delivery
- Facilitate technical discussions between internal teams and external stakeholders
- Drive project scoping and proposal writing with partnerships and technical teams
- Manage joint development initiatives and customer pilot programs from conception through deployment
- Refine scalable processes with the global TPM team
- Implement metrics for tracking milestones and program outcomes
- Coordinate compliance and regulatory considerations across programs
- Support intellectual property and scientific publication processes
- Foster interdisciplinary team culture and lead change management while scaling the organization
- Use data to continuously improve internal and customer-facing processes
Requirements
What you’ll need- Strong background in Natural Science, Computer Science, Software Engineering, AI/ML, or a related field
- Proven experience as a Technical Program Manager in a scientific or AI/ML environment
- Ability to navigate high levels of ambiguity and maintain cohesion across AI, Chemistry, and Engineering teams
- Excellent stakeholder management skills with technical researchers and non-technical partners at varying seniority levels
- Strategic thinking and problem-solving skills
- Strong leadership and facilitation capabilities for cross-functional teams
- Experience managing technical external-facing customer projects
- Practical experience or academic background in Materials Science, Experimental Chemistry, or Physics (bonus)
- Experience managing joint ecosystem programs alongside companies such as NVIDIA or Meta (bonus)
- Professional experience in a semiconductor foundry, design firm, or electronics materials supplier (bonus)
- Technical fluency across model architecture, cloud infrastructure, and the software development lifecycle (bonus)
- Experience with molecular simulation software, quantum chemistry packages, or cheminformatics tools (bonus)
Benefits
Comp & perks- Equity in CuspAI
- 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- 26 weeks parental leave for primary caregivers at full pay
- 12 weeks parental leave for secondary caregivers at full pay
- Professional development budget
- Opportunity to work on meaningful materials science, sustainability, and climate-related problems
- Interdisciplinary teamwork with AI researchers, computational chemists, experimental scientists, and engineers
- Reasonable workplace adjustments during or after the interview process