Principal Technical Product Manager, Data Platform

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.

The AISim division is looking for a seasoned Product Manager to join this team to build and own the Data Platform that underpins AISim’s scientific discovery platform spanning Drug Discovery (BioSim) and Materials Design (ChemSim) applications. This includes the data lifecycle including how data is ingested from CROs and lab partners, automatically detected and reconciled, tracked end-to-end for lineage and provenance, ingested into knowledge graphs for use by scientists and agents, and governed by sensitivity and field-of-use controls.

Your charter spans the full journey of a dataset; from the moment it lands to the moment it is safely used in a model or exported as certifiable evidence.