Product Manager, Materials Science AI and Machine Learning
Schrödinger
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Skills named in this job
Read from the description itself, not inferred.
This role on the market
400 open materials roles across 41 companies are on ApplySarthi right now, most of them in Pune (1), Hyderabad (1), Bengaluru (1).
- Sales Floor Dept Supervisor - Pro Services-Building MaterialsLowes
- Global Front-End (FE) Materials Category Supplier ManagerMicron
- Engineering & Technology Innovation, Graduate Researcher Program – Advanced Materials & Structures InternBoeing
- Full-Stack Engineer – Owned Brands - PLM MaterialsTarget
- Logistics Materials Management ProfessionalSec
What materials roles keep asking for: Supply chain (18%) — counted across their open postings here.
Product Manager jobs in the United States · Product Manager jobs in New York · Remote Product Manager jobs · Machine learning jobs · Product management jobs
Schrödinger has 28 open roles listed here.
- Scientific Machine Learning Engineer
- Director of Financial Planning & Analysis
- Senior Associate, India Finance (Hyderabad)hyderabad
- Applications Scientist, Japan
- Senior Manager, External Reporting & Technical Accounting
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for materials roles keep coming back to Supply chain. Practise those questions before you sit with Schrödinger.
Questions you are likely to be asked
- Why do you want to join Schrödinger?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Product Manager, Materials Science AI and Machine Learning at Schrödinger interview free →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
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Listed on greenhouse · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Schrödinger, not by us.