SandboxAQ

SandboxAQ

Principal Technical Product Manager, Data Platform

Canada · Principal

Sponsorship not specifiedDetected 12 days ago
Data EngineeringComplianceProduct ManagementHIPAAEpicResearchCommunicationCollaborationProblem SolvingGxP

About the role

  • 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.
  • We value collaborative problem solving, ownership, transparent communication, and humility.

Responsibilities

  • 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

Skills

  • 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.
  • 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.
  • 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.
  • MBA or equivalent business experience
  • Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Compensation

  • Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

Benefits

  • Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
  • Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
  • Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

Company info

  • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
  • We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
  • Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal opportunity

  • All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
  • Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
  • If you need such an accommodation, please let a member of our Recruiting team know.
  • Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

Visa & Work Authorization

  • ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status

This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.