Lead strategy, development, and deployment of AI-driven solutions to automate and optimize Order-to-Cash processes. Identify generative AI, ML, and intelligent automation opportunities; write PRDs/BRDs and user stories; collaborate with engineering, data science, finance, operations, and risk teams to improve billing, fraud detection, tax compliance, and customer experience.
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
Preferred Qualifications
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.
Inabia Solutions and Consulting, Inc. Bellevue, Washington, USA Office
14711 NE 29th Pl, Bellevue, WA, United States, 98007
Similar Jobs
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead product definition and roadmap for AI factory resilience platform features (telemetry, health-checks, observability APIs, deployment experience). Drive developer experience, open-source community collaboration, cross-functional alignment, and partner with engineering on design, prioritization, and delivery.
Top Skills:
Agent FrameworksClisContainer OrchestrationGitGpu InfrastructureKubernetesNetworkObservability ApisSdksStorageTelemetry Interfaces
Agency • Artificial Intelligence • Blockchain • Web3
Lead product strategy and roadmap to convert advanced AI and robotics research (e.g., VLA models, agentic RAG) into customer solutions. Define safety, usability, and performance metrics, engage early enterprise adopters for feedback, and coordinate cross-functional teams to deliver hardware and deep-tech software products.
Top Skills:
Agentic RagAIRoboticsVla Models
Artificial Intelligence • Consumer Web • Digital Media • Software
Lead the product strategy for Scribd's internal developer and agentic platforms: unify AI workstreams, own internal app/plugin/agent runtimes, translate functional needs into platform requirements, drive cross-functional adoption and metrics, and run internal rollouts and evaluation to prove impact.
Top Skills:
Agent RuntimeAgentic WorkflowsApi DesignAWSClaude CodeCodexCursorDatabricksEvalsGoLlmsMcpPlugin MarketplacePromptingPythonRubyTypescript
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
