AI Product Manager
Listed on 2026-06-26
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IT/Tech
AI Engineer (Applied/Software), Business Systems & Technology Analysis, Data Analyst
Overview
Inabia Solutions & Consulting is seeking an experienced AI Product Manager to drive the strategy, development, and deployment of AI-powered solutions that enhance and automate critical Order-to-Cash (O2C) business processes.
This role will focus on identifying opportunities to leverage Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities to improve operational efficiency, customer experience, fraud detection, billing accuracy, tax compliance, order processing, and revenue lifecycle management.
The ideal candidate combines strong Product Management expertise with practical experience implementing AI-driven business solutions within large‑scale eCommerce, subscription, telecommunications, financial services, or technology environments.
This is a highly visible role requiring close collaboration with Product, Engineering, Finance, Operations, Risk, Fraud, Tax, Compliance, and Customer Experience teams.
Required Qualifications- 7+ years of Product Management experience.
- 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives.
- Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems.
- Strong experience writing:
Product Requirements Documents (PRDs), Business Requirements Documents (BRDs), User Stories, Acceptance Criteria. - Experience working in Agile/Scrum environments.
- Strong understanding of business process automation and workflow optimization.
- Excellent communication and stakeholder management skills.
- Experience collaborating with Engineering, Data Science, and Business Operations teams.
- Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high‑scale organizations.
- Experience with OpenAI, Anthropic Claude, Amazon Bedrock, Azure OpenAI, AWS AI Services, Google Vertex AI.
- Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance.
- Experience building AI copilots, agents, or intelligent workflow tools.
- Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms.
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