Principal Technical Product Manager, Data Platform

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 • 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.

🏖️ Benefits

• 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, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements