Own end-to-end product marketing and demand generation for the AI Simulation business unit, translating complex technical capabilities into buyer-facing value. Develop positioning, create multi-channel campaign assets, and lead product launch planning to drive pipeline growth.
SandboxAQ
23 Remote Job Openings at SandboxAQ
Define and own the roadmap for the Data Platform, focusing on ingestion, schema reconciliation, and lineage for scientific discovery. Lead the end-to-end data management lifecycle to ensure IP-safe data sharing and governance across BioSim and ChemSim applications.
Lead the product strategy and roadmap for the shared platform foundation supporting BioSim and ChemSim businesses. Manage a team of product managers across ML platform, data, and infrastructure while establishing data-driven operating rhythms and OKRs.
Senior Research Scientist, Battery Materials Simulation
SandboxAQ
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Full Time
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18 days ago
SandboxAQ
Lead the development of AI-driven computational workflows and simulations to discover and optimize next-generation battery materials. Provide technical leadership and mentorship to junior scientists while collaborating with cross-functional teams and external partners.
Conduct advanced DFT and MD simulations to predict properties of solid-state electrolytes and interfacial degradation reactions. Develop ML force fields and AI-driven workflows to accelerate the discovery and optimization of next-generation battery materials.
Assistant Controller, Government Accounting & Compliance
SandboxAQ
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Full Time
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18 days ago
SandboxAQ
Manage the month-end close process and build the accounting infrastructure for government cost reimbursement and compliance. Lead the development of project costing frameworks, indirect rate calculations, and audit-ready reporting processes.
Lead the scientific direction and technical roadmap for the Magnets vertical to develop high-performance permanent magnets. Manage a multidisciplinary team and collaborate with AI platform teams to accelerate materials discovery and experimental validation.
Act as the technical bridge between core Large Quantitative Models and client contracts to enable drug discovery and chemical simulation. Responsibilities include architecting custom solutions, orchestrating cloud compute at scale, and automating complex R&D workflows.
Drive core corporate finance processes including rolling forecasts, budgeting, and long-range planning. Partner with business unit leaders to translate strategic priorities into operational plans and manage financial reporting for complex technology programs.
Develop and refine deep learning models for protein-ligand co-folding and structure prediction to advance drug discovery. Collaborate with multidisciplinary teams to integrate these models into scalable, production-ready workflows and publish research findings.
Serve as the technical authority for the end-to-end software stack, spanning embedded firmware, cloud data pipelines, and clinician-facing applications. Lead the engineering team in maintaining high code quality and ensuring strict adherence to medical device regulatory standards.
Lead the design and execution of microkinetic and reactor-level modeling workflows to translate atomistic simulations into process-scale predictions. Partner with industrial clients and internal ML teams to validate models and shape the technical roadmap for catalyst simulation.
Lead cross-functional operational execution for AI Simulation programs, managing milestones, risks, and dependencies across multiple semiconductor material verticals. Serve as the primary operational interface for government stakeholders, translating technical progress into compliance-grade reporting.
The role involves architecting and implementing scientific and ML software to bridge the gap between R&D prototypes and production-ready tools. Responsibilities include managing the full software lifecycle, integrating modules into the simulation platform, and collaborating with domain experts.
Develop and maintain computational chemistry tools, bridging the gap between R&D prototypes and production-ready software. Collaborate with subject matter experts to architect ML software and integrate modules into the simulation platform via CI/CD pipelines.
Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
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Full Time
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2 months ago
SandboxAQ
Lead the end-to-end machine learning lifecycle to design and deploy AI-first SaaS products using Large Quantitative Models. This includes building robust data pipelines, developing novel ML algorithms, and collaborating with cross-functional teams to create real-world MVPs.
Lead the product strategy and execution for AI-driven Finance and Risk Modeling, focusing on financial services and insurance. Drive 0→1 innovation by identifying and prototyping high-potential AI use cases across multiple domains.
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
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Full Time
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2 months ago
SandboxAQ
Design and manage robust data pipelines and develop novel ML models for Large Quantitative Models and agentic frameworks. Collaborate with cross-functional teams to translate business objectives into actionable ML development and production roadmaps.
Develop and maintain data pipelines and models to support quantum navigation solutions and simulation data integration. Collaborate cross-functionally to provide data observability, technical documentation, and lightweight dashboards for diverse stakeholders.
The role involves deploying and validating navigation solutions on operational platforms while serving as the primary technical bridge between customers and internal research teams. You will lead high-impact customer pilots, analyze complex sensor data, and translate performance metrics into actionable narratives for senior stakeholders.
The Staff ML Research Scientist will drive the research and development of next-generation deep learning models for protein-ligand co-folding and affinity prediction, while also architecting the integration of these advanced predictive capabilities into SandboxAQ’s software products.
The Director will own the product strategy and roadmap for Finance & Risk Modeling efforts, partnering closely with customers to understand their workflows and decision-making processes. They will also lead rapid prototyping and 0→1 product discovery across new AI/LQM use cases, ensuring impactful prototypes are shipped in an ambiguous environment.
The role involves orchestrating technical delivery by partnering with scientific teams and ensuring the end-to-end execution of client contracts. Additionally, the engineer will architect and develop solutions to automate complex R&D workflows and integrate core technologies into client environments.
