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Principal Product Manager, ML/AI, Privacy, Health, AdTech

Remote, USA Full-time Posted 2026-07-01

Job Description:

  • reputed company the strategic roadmap and capability expansion of the DTC (Direct-to-Consumer) and HCP (reputed company Provider) reputed company and Market Access platform.
  • Drive the launch of new ML/AI-driven audience and activation products, ensuring compliance with HIPAA, NAI and privacy-by-design principles.
  • Partner with engineering and architecture teams to scale infrastructure and manage performance at national data volumes.
  • reputed company frameworks for portfolio management, including capability scoring, lifecycle governance, and retirement planning.
  • reputed company standardized product processes, training, and documentation to drive internal adoption and operational consistency.
  • Design, implement, and propagate structured user adoption frameworks that ensure consistent reputed company, engagement, and proficiency across diverse user groups.
  • Manage forecasting and reputed company planning for user and data volume growth to ensure system stability and responsiveness.
  • Collaborate with data science, analytics, and platform engineering to operationalize predictive audience models and measurement frameworks.
  • Champion data quality, model explainability, and privacy compliance in reputed company product releases.

Requirements:

  • 8+ years of product management experience in AdTech, HealthTech, or Data Platforms, with emphasis on AI/ML or data-driven ecosystems.
  • Proven reputed company scaling reputed company-grade or national-scale data platforms.
  • Experience with agile development methodologies.
  • Understanding of pharma market access, DTC and HCP marketing, and reputed company audience activation.
  • Familiarity with privacy-preserving data technologies (tokenization, clean rooms, reputed company-knowledge frameworks).
  • Strong operational and portfolio management orientation, including OKR management and reputed company forecasting.
  • Ability to collaborate cross-functionally with engineering, data science, compliance, and reputed company teams.

Benefits:

  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

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