Product Manager, AI

New
C
Cin7Inventory management software
Listing location: Pune, IN; Workplace type: RemoteFull-Time
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceMachine LearningProduct ManagementLLM

Requirements

  • Have product management or associate product management work experience.
  • Have hands-on experience shipping at least one product or feature using AI or machine learning, including large language models.
  • Understand how AI features are built and tested, including prompts, model selection, evaluation, accuracy, and data quality.
  • Be aware of AI risks, including incorrect answers, bias, privacy, and cost, and ways to reduce them.
  • Have a track record of managing a successful product through its full lifecycle.
  • Be able to develop product and marketing strategies and present recommendations to executive management.
  • Have experience with structured approaches and agile methods.
  • Have a history of working with development teams to get results.
  • Be skilled at working with cross-functional teams in a matrix organization.
  • Bring strong problem-solving skills and a practical approach to new technology.
  • Be able to work productively in a globally distributed team through self-discipline and self-motivation.
  • Have excellent written and verbal communication skills.

Responsibilities

  • Turn business goals into clear software requirements.
  • Define AI use cases for forecasting, data entry, search, and routine-task automation, and write requirements for them.
  • Rank features using market research, customer needs, and company strategy.
  • Manage scope and trade-offs involving schedule, cost, security, architecture, company policies, and team capacity.
  • Set success measures for AI features, including accuracy, time saved, and user adoption, and track them after launch.
  • Work with engineers to plan how AI features are built, tested, and monitored, including handling incorrect or unexpected results.
  • Work with Security, Legal, and Engineering on customer data privacy, data use, and AI model costs.
  • Set product vision and define specifications with the technical team.
  • Track progress against plan and address variances.
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