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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