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Automation Product Manager Jobs (NOW HIRING)

WAGO Corporation is seeking a Product Manager for Automation Controls and Networking. This role will lead the development and execution of messaging strategy, guide product launches, and serve as a ...

Senior Automation Product Owner

Saint Louis, MO ยท On-site

$118K - $156K/yr

A Senior Automation Product Owner is a crucial role on an application development team, helping to ... Partner with stakeholders, clients, and product managers to understand the requirements ...

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Automation Product Manager information

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$31K

$116.6K

$169.5K

How much do automation product manager jobs pay per year?

As of Jun 29, 2026, the average yearly pay for automation product manager in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is an Automation Product Manager?

An Automation Product Manager is a professional responsible for overseeing the development and lifecycle of automation products and solutions within a company. They work at the intersection of business, technology, and user experience to define product strategy, gather requirements, and coordinate teams to deliver automated systems that improve efficiency. Their role often involves understanding customer needs, prioritizing features, and collaborating with engineering, sales, and marketing teams to ensure product success. Automation Product Managers play a key role in driving innovation and optimizing processes through technology.

What is the difference between Automation Product Manager vs Business Analyst?

AspectAutomation Product ManagerBusiness Analyst
Required credentialsBachelor's in Business, IT, or related field; certifications like PMP or AgileBachelor's in Business, IT, or related field; certifications like CBAP or PMI-PBA
Work environmentTech-focused teams, product development, automation projectsBusiness units, process improvement, requirements gathering
Employer usageTechnology companies, automation solution providersConsulting firms, corporate business units
Common search intentUnderstanding automation product roles and responsibilitiesBusiness process analysis and requirements

The Automation Product Manager focuses on developing and managing automation solutions, overseeing product lifecycle, and collaborating with technical teams. In contrast, the Business Analyst primarily gathers requirements, analyzes business processes, and supports project implementation. Both roles require strong communication skills and industry knowledge but serve different functions within automation projects.

What are the key skills and qualifications needed to thrive as an Automation Product Manager, and why are they important?

To thrive as an Automation Product Manager, you need a solid understanding of product management principles, automation technologies, and a background in engineering, computer science, or a related field. Familiarity with tools like Jira, Agile methodologies, and certification such as PMP or Scrum Master is highly valued. Exceptional communication, analytical thinking, and stakeholder management skills help drive alignment across technical and business teams. These competencies are essential for delivering innovative automation solutions that meet market needs and ensure successful product lifecycles.

How does an Automation Product Manager typically collaborate with engineering and operations teams to deliver successful products?

Automation Product Managers play a central role in bridging the gap between business objectives and technical execution. They work closely with engineering teams to define product requirements, prioritize features, and ensure that solutions are both technically feasible and aligned with user needs. Additionally, they engage with operations teams to streamline deployment, gather user feedback, and monitor product performance post-launch. This cross-functional collaboration helps ensure the automation products meet strategic goals while maintaining operational efficiency.
More about Automation Product Manager jobs
What cities are hiring for Automation Product Manager jobs? Cities with the most Automation Product Manager job openings:
What states have the most Automation Product Manager jobs? States with the most job openings for Automation Product Manager jobs include:
Infographic showing various Automation Product Manager job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

Product Manager - Order-to-Cash Automation & Intelligence

Inabia Software & Consulting Inc.

Redmond, WA โ€ข On-site

Contractor

Posted 7 days ago


Job description

  • AI Product Manager โ€“ Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite โ€“ 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.

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. 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. 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. 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 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. 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 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.

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