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Metro location, common product title, and mid-level seniority create moderate candidate competition.
Product ownership with AI specialization is somewhat transferable but requires domain experience.
Explicit 6+ years and 3–5 years product/AI experience makes screening moderately strict.
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Own the vision, strategy, and end-to-end lifecycle of AI/ML products including roadmap, backlog prioritization, and success metrics.
Collaborate with data science, engineering, UX, and business stakeholders to deliver AI solutions that deliver measurable business value and operational efficiency.
Monitor product performance, user adoption, risks, and compliance to drive continuous improvement and responsible AI practices.
6–12 years total experience with 3–5 years in product management or AI/ML related roles.
Strong understanding of AI/ML concepts, data pipelines, and model lifecycle.
Experience working in Agile/Scrum environments as a Product Owner or similar role.
Bachelor’s degree in engineering, Computer Science, IT, or related field.
Proven ability to translate complex business challenges into AI product opportunities and measurable impact.
Experienced in leading cross-functional teams and managing stakeholder communication across technical and non-technical groups.
Knowledgeable about AI trends, responsible AI, and capable of balancing innovative solutions with scalable, practical deployment.