SandboxAQ
Principal Product Manager, Material Science
$163K–$306K
United States · Remote · Principal · Full-time · Posted Oct 30, 2026
- Experience
- 5+ years in product management.
- Education
- Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.
About the job
Own the catalysis product strategy for SandboxAQ’s AI-driven materials discovery platform, delivering government-funded program objectives while building a commercial product business.
What you'll do
- Set the end-to-end catalysis product strategy and roadmap, including contractual deliverables, scientific capabilities, and commercial expansion.
- Translate customer and partner needs into prioritized product requirements, and work with scientific and ML teams on datasets, models, and benchmarking.
- Develop commercialization plans, value propositions, pricing and packaging input, partnerships, and product and revenue KPIs.
What they ask for
- 5+ years in product management, including ownership of a technically deep product sold to external customers.
- Strong grounding in materials science, catalysis, chemistry, or chemical engineering.
- Track record shipping AI/ML-driven scientific or engineering software to external paying or contracted users.
- Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.
Nice to have
- Experience in a major catalysis end market or semiconductor/electronic materials process chemistry.
- Familiarity with computational chemistry workflows such as density functional theory (DFT), molecular dynamics, or microkinetic modelling.
Pay
$163.2K – $306K • Multiple Ranges (currency and whether base salary or total pay not stated)
Tools
Large Quantitative Models (LQMs), AI/ML, density functional theory (DFT), molecular dynamics, microkinetic modelling, multi-tenant SaaS, API
AI focus
Own product development for an AI-driven materials discovery platform, including defining scientific dataset and model requirements, benchmarking, and advancing catalysis modeling toward reaction-level predictions.
Model-written summary · the original posting is authoritative