Job Openings Senior Product Manager - Search AI/ML

About the job Senior Product Manager - Search AI/ML

Gentis Solutions is seeking a Senior Product Manager - Search AI/ML for a full-time position with a Fortune 50 company in Blue Ash, OH. The ideal candidate will possess an advanced understanding of various machine learning branches, such as supervised learning and unsupervised learning. If you are qualified, and you seek to work at a company recognized for its diversity and inclusion, its work to drive positive social change, and as an environmental leader, make sure you apply.


  • Bachelor's Degree in computer science, business, marketing, or management or equivalent practical experience
  • 5+ years of experience bringing customer-facing eCommerce or Omnichannel products to market
  • 5+ years of software development, product management or business analyst experience in an eCommerce business with demonstrated success in sales and/or customer use through the delivery of new/evolving products
  • Ability to identify metrics/key performance measures and use data to drive decisions that enhance the customer experience
  • Excellent communication, organizational and analytical skills
  • Proficient Microsoft Office skills

Desirable Skills

  • Any digital product management experience with a multi-channel retailer
  • Any experience with iterative product development (Agile)
  • Any experience using Atlassian product

Typical Duties

  • Create detailed product now/next/later roadmaps with a focus on metrics and outcomes
  • Collaborate with internal teams on balancing multiple priorities to work on delivering various AI/ML solutions
  • Work with software engineering and machine learning teams to continually iterate and improve models
  • Take ownership of the product and ensure delivery of features and the entire product under tight deadlines
  • Be an active part in team scrum activities including planning, retrospective, and prioritization
  • Weed out biases while testing new data to develop better product functionality
  • Decide and manage tradeoffs based on data
  • Evaluate what metrics need to be tracked to improve machine learning models
  • Identify new business opportunities that can utilize AI/ML technology to drive profitability