Senior Data Platform PM — AI Simulation (Remote)

Entangled Future; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

SandboxAQ is seeking a Principal Technical Product Manager for the Data Platform within the AI Simulation (AISim) division. This senior individual contributor role focuses on end-to-end data lifecycle, ingestion from CROs/lab partners, lineage, and governance to enable models and certifiable evidence.

You will partner with engineering, science, design, and trust/compliance to deliver scalable data products that support drug discovery and materials design applications.

Qualifications

• 5+ years in product management, with depth in data platforms or data governance.
• Hands-on familiarity with ETL/ELT pipelines, data catalogs, and provenance tracking.
• Track record designing developer-facing data APIs and ingestion tooling.
• Experience defining data governance controls — access, sensitivity, and purpose restrictions.
• Ability to turn ambiguous cross-team data problems into scalable, measurable products.

Responsibilities

• Define and own the Data Platform roadmap across ingestion, schema reconciliation, and lineage.
• Define and own the Knowledge Graph strategy and execution within AISim.
• Own ingestion templates and auto-matching UX for CROs and lab partners.
• Drive dataset-level provenance, sensitivity tagging, and field-of-use governance.
• Design experiment-integration API schemas with BioSim and ChemSim teams.
• Own federated data-management product enabling IP-safe data sharing.

Skills

Product management

Data governance

Cross-functional collaboration

Developer-facing APIs

Education

Bachelor’s degree in Computer Science or Engineering

Tools

APIs design

ETL/ELT pipelines

Data catalogs

Job description

SandboxAQ is seeking a Principal Technical Product Manager for the Data Platform within the AI Simulation (AISim) division. This senior individual contributor role focuses on end-to-end data lifecycle, ingestion from CROs/lab partners, lineage, and governance to enable models and certifiable evidence.

You will partner with engineering, science, design, and trust/compliance to deliver scalable data products that support drug discovery and materials design applications.