Hybrid Director, Product Ownership – Applied AI Evaluations

Posted 3 days ago

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About the role

  • Shape, deliver, and manage innovative AI-driven products
  • Align business objectives with AI technologies
  • Research, build, and implement AI systems
  • Enhance data pipelines for machine learning models
  • Monitor and optimize learning processes for models
  • Collaborate with data and analytics professionals to create analytics solutions
  • Oversee design and development of ML and deep learning products
  • Run ML tests and experiments
  • Solve complex data problems and extend ML frameworks
  • Build interdependent teams for stakeholder value
  • Coach employees and manage performance
  • Influence collaboration across teams and anticipate trends

Requirements

  • Bachelor's or Master’s degree in Business, Computer Science, Data Science, Artificial Intelligence, or a related discipline
  • 10+ years in product management, product portfolio leadership
  • 5+ years managing AI, ML, or GenAI product teams
  • Success in regulated industries with understanding of compliance, ethics, and risk management
  • Proven expertise in Design Thinking methodologies and managing complex stakeholder environments
  • Exceptional understanding of AI/ML concepts and responsible AI practices
  • Advanced skills in product lifecycle management within agile and hybrid methodologies
  • Proficient in market analysis and strategic thinking
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication skills

Benefits

  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans

Job title

Director, Product Ownership – Applied AI Evaluations

Job type

Experience level

Lead

Salary

$164,400 - $285,600 per year

Degree requirement

Bachelor's Degree

Location requirements

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