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Product Manager with Agentic AI

Job

Nityo Infotech Corporation

Santa Clara, CA (In Person)

Full-Time

Posted 3 days ago (Updated 12 hours ago) • Actively hiring

Expires 6/22/2026

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Job Description

Role Overview:
In this role, you ll make an impact in the following ways: Product Strategy & Roadmap Execution Execute the applied AI product roadmap aligned to enterprise AI strategy and platform priorities Translate business needs into product requirements, backlog priorities, and release plans Identify opportunities for AI-enabled automation within specific domains or workflows Work with engineering and data science to refine technical solutions and product features AI-Powered Process Innovation Translate operational challenges into AI-enabled features, automation workflows, or decision-support tools Support development of LLM-powered solutions, intelligent automation, and agent-enabled workflows Work with platform teams to implement AI capabilities within existing business processes Execution & Cross-Functional Delivery Leads delivery of specific AI products or capabilities across product, engineering, and data science teams Coordinates development, testing, and deployment of AI-enabled solutions Removes blockers and ensures alignment within product delivery teams Stakeholder Engagement Work with engineering, data science, and operational stakeholders to deliver AI product features Communicate requirements, priorities, and delivery progress Help translate technical capabilities into practical business outcomes Impact Measurement Track product-level metrics such as automation adoption, workflow efficiency, and user engagement Use feedback and data to iterate and improve AI product performance To be successful in this role, we re seeking the following: Required 8 10 years of experience in Applied AI product management, AI-enabled product development, or enterprise software delivery Strong understanding of: AI-powered product capabilities Generative AI Intelligent automation and agentification Experience working with engineering and data science teams to deliver applied AI products Knowledge of enterprise architecture patterns including APIs, microservices, and distributed systems Ability to translate complex business challenges into scalable technical solutions Strong product delivery, prioritization, and stakeholder management skills Bachelor's degree in STEM or related discipline Preferred Experience implementing LLM-based solutions or intelligent automation platforms Familiarity with AI lifecycle management, model monitoring, and observability tools Experience working in regulated or enterprise environments
Certifications:
CSPO, A-CSPO, SAFe
POPM, CSM, AWS
Cloud Practitioner, Generative AI specialization. Advanced degree preferred

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