
51 - 200 employees
Founded 2021
đ¤ Artificial Intelligence
đ Cybersecurity
đ Pharmaceuticals
Artificial Intelligence ⢠Cybersecurity ⢠Pharmaceuticals
SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.
đĽ 20 hours ago
đşđ¸ United States â Remote
đľ $163.2k - $306k / year
â° Full Time
đ´ Lead
âď¸ Technical Product Manager (TPM)
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51 - 200 employees
Founded 2021
đ¤ Artificial Intelligence
đ Cybersecurity
đ Pharmaceuticals
Artificial Intelligence ⢠Cybersecurity ⢠Pharmaceuticals
SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.
⢠Own the end-to-end Catalysis product strategy, vision, and roadmap ⢠Span CHIPS Act contractual deliverables, scientific depth, and commercial expansion into new markets ⢠Build customer understanding with Application Scientists and Business Development ⢠Translate field insights, benchmarking data, and market feedback into customer personas and prioritized product requirements ⢠Translate catalysis objectives into product requirements, a vertical roadmap, and evidence packages for Fulfillment Notices to the U.S. Department of Commerce ⢠Define dataset, model, chemical coverage, fidelity, and benchmarking requirements with scientific and ML teams ⢠Drive the roadmap from property and energetics prediction toward reaction-level modelling ⢠Quantify customer value through yield, selectivity, catalyst life, energy efficiency, and emissions improvements ⢠Equip Go-to-Market, Application Science, and Business Development teams with value propositions, value models, and commercialization strategies ⢠Contribute to customer segmentation, offer scope, packaging, and pricing models ⢠Build and manage strategic product-level relationships with fabs, equipment OEMs, materials suppliers, refiners, chemical producers, catalyst manufacturers, national laboratories, and validation partners ⢠Define and track product and commercial KPIs, including model accuracy, workflow adoption, customer segment expansion, and recurring revenue growth ⢠Develop build-vs-buy and build-vs-partner recommendations ⢠Serve as the primary product voice for catalysis to program stakeholders, ecosystem partners, and prospective customers ⢠Define shared versus market-specific roadmap capabilities
⢠5+ years in product management, including ownership of a technically deep product sold to external customers ⢠Ability to operate in software- and service-oriented business models ⢠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 shipping products where the ICP was not clearly understood or demand generation and funnel was not already in place ⢠Experience contributing to scope of offer, packaging, and pricing decisions for technical software, or clear commercial instinct to do so ⢠Ability to engage computational scientists and industrial, refining, chemical, or equipment OEM partners ⢠Ability to turn partner requirements into product requirements ⢠Ability to reason commercially across multiple end markets ⢠Comfort navigating deep ambiguity and translating unclear problems into structured roadmaps, success criteria, and measurable outcomes ⢠Ownership mindset and rigorous operational execution track record ⢠Bachelor's degree in Chemistry, Chemical Engineering, or Materials Science or equivalent practical experience ⢠Experience in one or more major catalysis end markets (highly desired) ⢠Familiarity with computational chemistry workflows such as DFT, molecular dynamics, or microkinetic modelling (highly desired) ⢠Semiconductor or electronic materials process chemistry experience (highly desired) ⢠Familiarity with homogeneous or solution-phase catalysis and heterogeneous surface chemistry (highly desired) ⢠Understanding of machine-learned interatomic potentials, spin polarization in transition-metal systems, and evaluation of ML models against experimental or first-principles reference data (highly desired) ⢠Track record building product-led growth motions for technical or scientific software (highly desired) ⢠Prior product or business development engagement with catalyst manufacturers, chemical producers, refiners, or semiconductor ecosystem partners (highly desired) ⢠Experience with multi-tenant SaaS, API governance, and enterprise security and compliance requirements (highly desired) ⢠Advanced degree in Computational Chemistry, Chemical Engineering, Catalysis, Materials Science, or a related field (highly desired)
⢠Competitive base salary ⢠Performance-based incentives or bonuses (where applicable) ⢠Equity participation ⢠Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions ⢠Retirement savings with company matching ⢠Paid parental leave ⢠Inclusive family-building benefits ⢠Fully remote work ⢠Flexible paid time off ⢠Company-wide seasonal breaks ⢠Support for flexible work arrangements ⢠On-the-job development ⢠Cross-functional collaboration ⢠Access to internal learning and development programs
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