Teams at SandboxAQ

Own the AISim Data Platform roadmap across data ingestion, schema reconciliation, lineage, provenance, knowledge graphs, governance, and federated data sharing. Lead development of partner ingestion templates, matching experiences, experiment APIs, and compliance workflows. Define platform metrics and influence engineering, science, design, and trust teams to deliver scalable, secure data products for drug discovery and materials research.

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.

Develop and execute joint marketing programs with strategic technology partners including AWS, Google Cloud, Microsoft, and OpenAI. Translate scientific research, customer outcomes, and AI capabilities into partner-facing content, enablement, campaigns, events, and marketplace assets. Generate and route partner-sourced leads, support account-based marketing, manage co-op and MDF funds, track pipeline and ROI, and report performance to marketing leadership.