AI Product Manager
- Posted 24 days ago
- Be among the first 10 applicants
Job Description
Position: AI Product Manager
Reports To: AI Transformation Leader
Function / CoE: AI CoE — Product
Industry: Electronics Manufacturing Services
Level: Senior Manager / Director
Mandate: Own AI agents as products with measurable business KPIs
Position Summary:
The AI Product Manager treats each agent — RFQ, Planning, Supply Chain, Program Manager, Scheduler, Executive Copilot — as a product with a defined user, value hypothesis, backlog and KPI. The role bridges business users and the engineering/data teams to ship, measure and continuously improve agent capabilities.
Key Responsibilities
- Define agent product vision, user journeys and success metrics.
- Own the agent backlog; prioritize features by business value and feasibility.
- Partner with Sales, Bid, Supply Chain and Operations to validate value in the flow of work.
- Design human-in-the-loop approval gates and exception-handling behavior.
- Track adoption, accuracy and ROI; drive iteration cycles.
Ideal Profile
- 10+ years in product management, ideally with data/AI or enterprise-workflow products.
- Strong grasp of manufacturing / supply-chain processes (RFQ, MRP, S&OP).
- Ability to define crisp KPIs and run evidence-based iteration.
- Excellent stakeholder management across business and technical teams.
Success in 12 Months
- Two agents in production with documented KPI improvement.
- Clear adoption metrics and a prioritized cross-agent roadmap.
- Approval-gate and exception design accepted by governance.
More Info
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Industry:
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Key Skills
About Company
Skills:
Business Process Automation, Wireframing, User story definition, No-code/low-code methods, Enterprise workflow systems, Enterprise product management, Agentic workflow understanding, Prioritization frameworks, Requirements discovery, Stakeholder Management, AI product thinking, Experimentation and validation, AI feature conceptualization, Hands-on prototyping, AI coding tools, Prompt-based development, Cross-functional collaboration, AI-enabled product design and delivery, Platform integrations
Skills:
Data Analytics, AI applications, Technical collaboration
Skills:
Mirth, PostgreSQL, ELT, Neo4j, AWS, Apis, Azure, Etl, Canonical modeling, FHIR R4, LOINC, snomed, Workflow orchestration, interoperability, Data normalization, Healthcare data ingestion, Temporal, Amazon Neptune, Redox, Icd, RxNorm, HL7 v2, AI-ready data pipelines, Temporal data processing
Skills:
BPM, Machine Learning, Deep Learning, Wireframing, Nlp, MLops, Computer Vision, Quality Considerations, Generative AI, LLMs, Advanced Requirements Engineering for AI Systems, Mockup Design, Monitoring Strategies, Risk Management, Agile Product Ownership for AI and Data Teams, Responsible AI Principles and Ethics, Dataset Creation, LLMOps Lifecycle Management, Demo Creation, AI Evaluation Metrics, Labeling, Product Roadmap Management
Skills:
threat modeling , product security , technology risk , DAST, Cloud Security, Vulnerability Management, Application Security, Penetration Testing, risk assessments, AI Security, Security Architecture, SCA, SAST, API security testing, software-supply-chain controls