Principal Technical Product Manager, Data Platform

Entangled Future; United States; Remote; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Product management

Data governance

Cross-functional collaboration

Developer-facing APIs

Ausbildung

Bachelor’s degree in Computer Science or Engineering

Tools

APIs design

ETL/ELT pipelines

Data catalogs

Jobbeschreibung

Principal Technical Product Manager, Data Platform at SandboxAQ, United States (remote). A lead-level full time position in the AI Simulation team, listed under software engineering.

The Opportunity

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.

This is a senior individual contributor role: you’ll lead through product craft and cross-functional influence, partnering closely with engineering, science, design, and trust/compliance. We’re customer-obsessed in practice and all platform decisions trace back to real internal and partner needs. We value collaborative problem solving, ownership, transparent communication, and humility.

Why Join Us? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

• Career Defining Work : Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.
• Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Responsibilities

• Define and own the Data Platform roadmap across ingestion, auto-detection, schema reconciliation, and lineage
• Define and own the Knowledge Graph strategy and execution within AISim
• Own the CRO and lab-partner ingestion-template product and the auto-matching UX, so partner data is usable the moment it lands
• Drive dataset-level provenance, sensitivity tagging, and field-of-use governance
• Design experiment-integration API schemas in partnership with the BioSim and ChemSim teams
• Own the federated data-management product that enables IP-safe data sharing across partners
• Define and track the metrics that matter including but not limited to time-to-usable per dataset, auto-match accuracy, and lineage completeness

Requirements

• 5+ years in product management, with depth in data platforms or data governance.
• Hands-on familiarity with ETL/ELT pipelines, data catalogs, and provenance / lineage tracking.
• Track record designing developer-facing data APIs and ingestion tooling.
• Experience defining data governance controls — access, sensitivity classification, and purpose / field-of-use restrictions.
• Ability to turn ambiguous, cross-team data problems into scalable, measurable products.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Experience with scientific data formats (HDF5, SDF, CSV, JSON-LD).
• Understanding of federated learning and IP-sharing constraints in R&D contexts.
• Ability to design experiences that are consumable both by research scientists and agents
• Knowledge of regulated data governance (HIPAA, FedRAMP, GDPR, SOC 2, GxP / 21 CFR Part 11).