Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER
Other
WFA Digital Insight
The demand for AI specialists in chemistry and material science has grown exponentially, with a 25% increase in related research publications in 2025. As a hub for innovation, NVIDIA stands out for its commitment to fostering a diverse work environment. This Senior Strategic Alliance Manager role is particularly interesting, as it requires a unique blend of technical expertise and interpersonal skills. With the rise of remote work, candidates should be prepared to demonstrate their ability to build and maintain strategic relationships in a virtual setting. Before applying, it's essential to understand the company's emphasis on diversity, equity, and inclusion, as well as the role's requirements for a strong academic or research background in AI for computational chemistry.
Job Description
About the Role
The Senior Strategic Alliance Manager role at NVIDIA is a unique opportunity to drive the adoption of AI in chemistry and material science. As a key member of the team, you will be responsible for identifying and engaging with top researchers and labs in academic and scientific research institutions. Your primary objective will be to define and deliver strategic partnerships, lead technical collaborations, and advise NVIDIA's product organization on the needs of the higher education and research ecosystem. The role entails a deep understanding of the research ecosystem landscape related to AI applications in chemical and materials research. You will need to stay up-to-date with the latest developments in generative AI, model architectures, and Agentic AI workflows in the field of chemistry and material science. Your ability to communicate complex technical concepts to both technical and non-technical audiences will be essential in this role. As a representative of NVIDIA, you will be expected to evangelize the company's platform and products, hosting developer and customer evangelism events, such as meetups, hackathons, and lectures. You will also speak at relevant scientific, technical, and industry conferences, showcasing NVIDIA's expertise in AI for chemistry and material science.What You Will Do
- Identify top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science
- Lead strategic relationships with opinion leaders and researchers in the field
- Define NVIDIA's strategy for engaging developers in university and research environments
- Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Applied Research
- Evangelize and directly engage target collaborators on building teaching kits
- Host developer and customer evangelism events, such as meetups, hackathons, and lectures
- Speak at relevant scientific, technical, and industry conferences
- Develop and maintain a deep understanding of the research ecosystem landscape related to AI applications in chemical and materials research
- Stay up-to-date with the latest developments in generative AI, model architectures, and Agentic AI workflows in the field of chemistry and material science
- Communicate complex technical concepts to both technical and non-technical audiences
What We Are Looking For
- PhD in computational chemistry, materials science, computer science, or a related field
- 6+ years of experience in higher education or research environments, focusing on machine learning, interatomic potentials, generative modeling, and quantum chemistry workflows
- Demonstrated knowledge of the research ecosystem landscape related to AI applications in chemical and materials research
- Outstanding communication abilities, with proven experience in conveying a value proposition to both technical and non-technical audiences
- Experience managing technical and business alliances across multiple partner groups and peer teams
- High-impact publications in artificial intelligence applications for chemistry, molecular modeling, or materials discovery
- Experience with CUDA, parallel programming, or performance-focused software development
- Contributions to open-source software for simulation, chemistry, or materials science
Nice to Have
- Experience with NVIDIA's deep learning software development kit (SDK)
- Familiarity with NVIDIA's hardware and software platforms for AI computing
- Knowledge of cloud-based platforms for AI and machine learning
- Experience with agile development methodologies and version control systems
Benefits and Perks
- Competitive base salary, determined by location, experience, and pay of employees in similar positions
- Eligibility for equity and benefits
- Opportunity to work with a diverse and talented team of professionals
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Professional development opportunities, including training and education programs
- Recognition and reward programs for outstanding performance
How to Stand Out
- Develop a strong understanding of the research ecosystem landscape related to AI applications in chemical and materials research, and be prepared to discuss your knowledge in the interview.
- Highlight your experience in managing technical and business alliances across multiple partner groups and peer teams, and provide specific examples of successful partnerships you've led.
- Showcase your ability to communicate complex technical concepts to both technical and non-technical audiences, and provide examples of times when you've had to explain AI and machine learning concepts to non-experts.
- Be prepared to discuss your experience with NVIDIA's hardware and software platforms for AI computing, and demonstrate your knowledge of CUDA, parallel programming, and performance-focused software development.
- Consider creating a portfolio of your work, including any publications, presentations, or projects that demonstrate your expertise in AI for chemistry and material science.
- Don't be afraid to negotiate your salary, and be prepared to discuss your expectations and requirements.
- Research NVIDIA's company culture and values, and be prepared to discuss how your own values and goals align with those of the company.
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