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 Data Platform roadmap for AISim’s scientific discovery workflow, from CRO/lab ingestion to schema reconciliation, lineage/provenance tracking, and sensitivity + field-of-use governance. Build partner ingestion templates and auto-matching UX so data is usable immediately, design developer-facing experiment-integration API schemas, and define dataset-level metrics that improve usability, matching accuracy, and lineage completeness. Lead as a senior IC through product craft and cross-functional influence.

Location: United States

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 and define key dataset metrics.

Pay and Benefits

Salary: USD 163,200 - 306,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid 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 purpose/field-of-use restrictions.
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Experience:5+ years

Education:Bachelor's in Computer Science, Engineering

Skills:Cross-functional collaborationOwnershipTransparent communicationHumilityProblem-solving

Tech Stack:ETLELTData catalogsData APIsIngestion toolingProvenanceLineage trackingHDF5SDFCSVJSON-LDHIPAAFedRAMPGDPRSOC 2GxP21 CFR Part 11Federated learning

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: United States

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 and define key dataset metrics.

Pay and Benefits

Salary: USD 163,200 - 306,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid 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 purpose/field-of-use restrictions.
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Experience:5+ years

Education:Bachelor's in Computer Science, Engineering

Skills:Cross-functional collaborationOwnershipTransparent communicationHumilityProblem-solving

Tech Stack:ETLELTData catalogsData APIsIngestion toolingProvenanceLineage trackingHDF5SDFCSVJSON-LDHIPAAFedRAMPGDPRSOC 2GxP21 CFR Part 11Federated learning

Company Brief

sandboxaq

Industry: Cybersecurity

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

Growth: Scaleup

Headquarters: Cambridge, United States

Founded: 2021

Website LinkedIn