Principal AI Product Manager

Position: Principal AI Product Manager, US
Are you ready to make an impact?

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.

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 Dev Ops 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 AI-augmented development workflows

Establish metrics to measure success, including improvements in developer productivity, cycle time, defect rates, and release velocity

Guide clients in adopting best practices for responsible and effective use of AI in software engineering, including governance, risk management, and tool selection

Mentor teams on modern product management practices that incorporate AI into the SDLC, fostering a culture of innovation and continuous improvement

Qualifications 8+ years of experience in product management, business analysis, or related roles, with a strong track record of delivering enterprise software products

Experience working in consulting environments and leading client engagements focused on digital product delivery

Deep understanding of modern SDLC practices, including Agile, Dev Ops, and CI/CD, with experience improving software delivery performance

Experience leveraging AI tools across the software development lifecycle, including:
AI-assisted development tools (e.g., Git Hub Copilot, Amazon Code Whisperer, Cursor, Replit Ghostwriter) to accelerate coding and engineering workflowsLLM platforms and APIs (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI) for prototyping and integrating AI capabilities into development processes

Prompt engineering and experimentation tools (e.g., Prompt Layer, Lang Chain, Llama Index) to design, test, and optimize AI-assisted workflowsAI-enabled testing and QA tools (e.g., Testim, Mabl, Diffblue, or similar) for automated test…