sandboxaq

2 weeks ago

Principal Technical Product Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Own and drive the roadmap for a physics-grounded AI Simulation Data Platform that powers drug discovery and materials design. Lead product decisions across CRO and lab-partner ingestion, auto-detection and schema reconciliation, lineage and provenance tracking, and sensitivity/field-of-use governance. Design developer-facing data APIs and metrics, and own federated data-management capabilities to enable IP-safe partner data sharing while partnering with engineering, science, design, and trust/compliance.

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and own the Data Platform roadmap across ingestion, auto-detection, schema reconciliation, and lineage.
•Own CRO and lab-partner ingestion templates and the auto-matching UX so partner data is usable immediately.
•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.

Pay and Benefits

Salary: CAD 136,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionRetirement SavingsPaid ParentalRemote WorkPaid Leave

Key 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, including access, sensitivity classification, and field-of-use restrictions.
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Experience:5+ yearsData platformsData governance

Education:Bachelor's

Skills:OwnershipCollaborative problem solvingTransparent communicationHumilityCustomer focus

Tech Stack:ETLELTData catalogsProvenanceLineageAPIs

Company Brief

sandboxaq

Builds quantum-safe cybersecurity, quantum computing, and quantum-enabled AI solutions for enterprises and government. Develops software, cryptography, and platform integrations to accelerate adoption of quantum technologies and defend infrastructure against future quantum threats.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Cambridge, United States

Founded: 2021

Website LinkedIn

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sandboxaq

2 weeks ago

Principal Technical Product Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Define and own the Data Platform roadmap across ingestion, auto-detection, schema reconciliation, and lineage.
•Own CRO and lab-partner ingestion templates and the auto-matching UX so partner data is usable immediately.
•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.

Pay and Benefits

Salary: CAD 136,000 - 240,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionRetirement SavingsPaid ParentalRemote WorkPaid Leave

Key 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, including access, sensitivity classification, and field-of-use restrictions.
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Experience:5+ yearsData platformsData governance

Education:Bachelor's

Skills:OwnershipCollaborative problem solvingTransparent communicationHumilityCustomer focus

Tech Stack:ETLELTData catalogsProvenanceLineageAPIs

Company Brief

sandboxaq

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Cambridge, United States

Founded: 2021

Website LinkedIn