Principal AI Product Manager, US

Principal AI Product Manager

West Monroe is seeking a Principal AI Product Manager to join the Technology and Experience practice in one of our US offices.

This role focuses on leveraging artificial intelligence across the software development lifecycle (SDLC) to transform how digital products are designed, built, tested, and deployed. You will partner with executive-level client stakeholders to define product strategies and lead the adoption of AI-driven approaches that improve engineering velocity, product quality, and delivery outcomes.

As a Principal AI Product Manager, you will act as a trusted advisor to clients, helping them integrate AI into their product development processes, from ideation and requirements definition through engineering, testing, deployment, and ongoing optimization. You will lead cross-functional teams to deliver high-impact products while embedding AI-powered practices into modern software delivery.

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Responsibilities

• Partner with senior stakeholders to define product strategies that incorporate AI-driven enhancements across the SDLC, improving speed, quality, and scalability of product delivery
• Lead the integration of AI capabilities into product development workflows, including AI-assisted coding, requirements generation, test automation, and DevOps optimization
• Translate business and product needs into requirements that leverage AI tools to enhance engineering productivity, code quality, and delivery efficiency
• Collaborate with engineering, architecture, and data teams to implement AI-enabled development practices, such as code generation tools (e.g., copilots), automated documentation, and intelligent debugging
• Drive adoption of AI in quality engineering, including automated test case generation, defect prediction, and continuous testing strategies
• Identify opportunities to embed AI into CI/CD pipelines, enabling smarter build, release, and monitoring processes, including incident detection and root cause analysis
• Facilitate prioritization decisions that balance business value with engineering efficiency gains enabled by AI tools and automation
• Oversee Agile product delivery, ensuring alignment between roadmap, backlog, and