Inabia Software & Consulting logo

AI Product Manager – Order-to-Cash Automation & Intelligence

Inabia Software & Consulting
14 days ago
Full-time
On-site
Redmond, Washington, United States
$75 - $80 USD hourly
AI Product Manager & AI Venture Leader
  • AI Product Manager – Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite – 5 Days per Week)
  • Employment Type: Long-Term Contract (W-2 Only)
  • Work Authorization: U.S. Citizen or Green Card Holder Only (No Sponsorship Available)
  • Compensation: $75.00 - $80.00 per hr.
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.

Key Responsibilities
AI Product Strategy
  • Identify high-value opportunities to apply AI and automation across the Order-to-Cash lifecycle.
  • Develop AI product roadmaps aligned with business objectives and operational efficiency goals.
  • Prioritize AI initiatives based on customer impact, risk reduction, revenue protection, and operational scalability.
  • Build business cases and success metrics for AI-powered solutions.
Order-to-Cash Process Optimization
Drive AI capabilities across:
  • Customer onboarding
  • Product catalog management
  • Pricing and promotions
  • Order validation
  • Fraud detection and prevention
  • Billing and invoicing
  • Subscription lifecycle management
  • Tax determination and compliance
  • Returns and refunds
  • Revenue assurance and reconciliation
  • Customer support automation
Product Delivery & Execution
  • Define product requirements, user stories, acceptance criteria, and success metrics.
  • Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools.
  • Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models.
  • Lead Agile ceremonies and product planning activities.
  • Manage product lifecycle from ideation through deployment and continuous improvement.
AI & Intelligent Automation
Support initiatives involving:
  • Generative AI (LLMs)
  • AI Assistants and Copilots
  • Agentic AI workflows
  • Intelligent Document Processing
  • Predictive Analytics
  • Fraud Detection Models
  • Conversational AI
  • Recommendation Engines
  • Workflow Automation
  • Customer Service Automation
Stakeholder Management
  • Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership.
  • Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders.
  • Drive alignment across technical and business 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.
Preferred Qualifications
  • 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.