Product Manager, Materials Science AI and Machine Learning
Summary
Schrödinger is hiring a Product Manager to lead its Materials Science Machine Learning team, managing development of AI/ML products for materials discovery across industries like aerospace, electronics, and specialty chemicals. The role blends machine learning and chemistry expertise with customer-facing work, roadmap planning, and team management.
Schrödinger seeks a Materials Science Machine Learning Product Manager to join us in our mission to transform the discovery of materials and therapeutics.
As a member of the Materials Science (MS) Machine Learning (ML) team, you’ll manage the development of AI and ML products, combining deep domain knowledge in chemistry, machine learning, and the software industry to grow our products and business in aerospace, consumer goods, electronics, specialty chemicals, and other industries.
Who will love this job:
- An experienced manager who’s successfully led scientific research projects and collaborations, especially in the ML space
- An extrovert who enjoys interacting with customers and giving public presentations
- An agentic workflow expert
- An excellent communicator and team player
What you’ll do:
- Interface with existing and potential customers to demonstrate how our software accelerates MS research
- Provide guidance and roadmap planning to grow our current offerings into new areas of MS
- Develop new ML models to support new customer acquisition
- Manage our existing MS ML team
What you should have:
- PhD in Materials Science, Computational Chemistry, Chemical Engineering, Artificial Intelligence, or a related field
- Deep practical background in both MS and ML
- Experience working within the software industry and with customers
- Enthusiasm for traveling to and interacting with customers globally
Skills
As published by greenhouse · 9 questions
Basics
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