Principal Technical Product Manager, Data Platform

🕒 July 9

🇺🇸 United States – Remote

💵 $163.2k - $306k / year

⏰ Full Time

🔴 Lead

⚒️ Technical Product Manager (TPM)

👻 Ghost score 22%

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 Description

• 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 auto-matching UX • Drive dataset-level provenance, sensitivity tagging, and field-of-use governance • Design experiment-integration API schemas with the BioSim and ChemSim teams • Own the federated data-management product enabling IP-safe data sharing across partners • Define and track metrics including time-to-usable per dataset, auto-match accuracy, and lineage completeness • Partner with engineering, science, design, and trust/compliance as a senior individual contributor • Build and own the Data Platform underpinning scientific discovery across drug discovery and materials design applications

🎯 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 consumable by research scientists and agents • Knowledge of regulated data governance (HIPAA, FedRAMP, GDPR, SOC 2, GxP / 21 CFR Part 11) • Experience supporting audit, evidence-export, or compliance-attestation workflows • Familiarity with the drug-discovery or materials-research data lifecycle

🏖️ Benefits

• Performance-based incentives or bonuses (where applicable) • Equity participation • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Fully remote work • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements • On-the-job development • Cross-functional collaboration • Access to internal learning and development programs

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