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.

The Opportunity

SandboxAQ’s AI Simulation (AISim) division develops and applies Large Quantitative Models (LQMs) that are grounded in physics, chemistry, mathematics and biology to simulate molecular behavior with scientific precision and accelerate discovery in the physical world across biopharma, chemicals, advanced materials, healthcare, and so much more.

Within AISim, ChemSim is SandboxAQ's AI-driven materials discovery platform. We are seeking an exceptional Product Manager to own the Catalysis vertical. This is a dual-mandate role. In the near term, you will be the product owner for catalysis within SandboxAQ's $500M CHIPS Act R&D award from the U.S. Department of Commerce, translating contractual objectives into product requirements and external fulfilment, whilst partnering with Program Managers to ensure successful milestone delivery. In parallel, you will build the commercial foundation that turns catalysis from a government-funded R&D workstream into a product-led business generating durable, recurring revenue from the broader materials and process-chemistry market.

Catalysis is one of the largest and most consequential application areas in applied chemistry. It underpins refining and downstream oil and gas, commodity and petrochemical production, emissions control, and the energy transition (hydrogen electrolysis, carbon utilization, e-fuels and chemical recycling etc) alongside semiconductor process chemistry and fine chemical synthesis. Across nearly all of these markets the bottleneck is the same: catalyst discovery and optimization remain slow, experimental and expensive, and the simulation tools available today answer narrower questions than the ones that actually decide a process. This is a once-in-a-career opportunity to shape a category-defining AI platform for materials science at the intersection of national security, scientific discovery, and commercial scale.

Key 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. Synthesize field insights, application benchmarking data, and market feedback into a clear picture of customer personas, and performance drivers, and translate these into prioritized product requirements and specifications.

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.