Principal Technical Product Manager, Catalysis
Remote · 5+ years experience · Full-time · Remote · Posted Oct 2, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote
About SandboxAQ
- SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
- We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
- At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
About the role
- SandboxAQ is seeking an exceptional Product Manager to own the Catalysis vertical within its AI Simulation (AISim) division.
- This is a dual-mandate role serving as the product owner for catalysis within a $500M CHIPS Act R&D award and building the commercial foundation for a product-led business.
Responsibilities
- Own the end-to-end Catalysis product strategy, vision and roadmap, spanning CHIPS Act contractual deliverables, vertical scientific depth, and commercial expansion into new markets.
- Build a deep understanding of customer needs by working closely with Application Scientists and the Business Development team.
- Translate the program's catalysis objectives into clear product requirements, a vertical roadmap, and the evidence packages required for Fulfillment Notices to the U.S. Department of Commerce.
- Define the dataset and model requirements for the vertical, chemical coverage, fidelity, and the benchmarking that determines where simulation investment is directed in partnership with our scientific and ML teams.
- Drive the roadmap from property and energetics prediction toward reaction-level modelling, so that predictions can be validated against a customer's own process rather than assessed in isolation.
- Quantify the value our catalyst products and services create for customers, such as gains in yield, selectivity, catalyst life, energy efficiency, and emissions.
- Contribute to the catalysis commercial strategy with commercial leadership, including customer segmentation, scope of offer, packaging, and pricing model.
- Build, manage, and own strategic partner relationships at the product level by translating partner requirements into product features.
- Define and track strategic product and commercial KPIs, including model accuracy requirements, workflow adoption, customer segment expansion, and recurring revenue growth.
- Develop and defend build-vs-buy and build-vs-partner recommendations for domain-specific scientific engines, datasets and validation tooling.
Requirements
- 5+ years in product management, including ownership of a technically deep product sold to external customers
- Strong domain 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
- Experience contributing to scope of offer, packaging and pricing decisions for technical software
- Ability to engage both computational scientists and industrial, refining, chemical or equipment OEM partners
- Ability to reason commercially across multiple end markets at once, sizing opportunities and sequencing entry
- Comfort navigating deep ambiguity and translating unclear scientific and customer problems into structured roadmaps
- Ownership mindset and a rigorous operational execution track record
- Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience
Benefits
- Competitive base salary
- Performance-based incentives or bonuses where applicable
- Equity participation
- Comprehensive medical, dental, and vision coverage for employees and dependents
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Fully remote work arrangement
- Flexible paid time off
- Company-wide seasonal breaks
Workplace
- Fully remote
Skills
- AI
- ML
- Density Functional Theory (DFT)
- Molecular Dynamics
- Microkinetic Modelling
- SaaS
