Teams at SandboxAQ

Own the Data Platform product strategy and roadmap for SandboxAQ’s AI Simulation division. Lead ingestion, schema reconciliation, knowledge graphs, lineage, provenance, governance, partner data sharing, and developer-facing APIs. Partner with engineering, science, design, compliance, CROs, and lab partners to create scalable, measurable products supporting drug discovery and materials research. Define metrics for dataset usability, matching accuracy, and lineage completeness while enabling secure, compliant data use by scientists and AI agents.

Build production agentic AI capabilities focused on monitoring, guardrails, evaluation, security, collaboration, and ROI. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and deliver production-ready code while exploring emerging agentic technologies and AI security techniques.

Lead a small team developing secure, reliable agentic AI capabilities. Responsibilities include building agent monitoring, guardrails, evaluation frameworks, and collaboration tools; performing machine learning tasks such as exploratory data analysis, feature engineering, and fine-tuning; translating research into production features; contributing code and technical designs; and mentoring engineers while setting technical direction.