Principal AI Product Manager, US

West Monroe • Washington, DC

1d

About The Position

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.

Requirements

• 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, DevOps, 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., GitHub Copilot, Amazon CodeWhisperer, Cursor, Replit Ghostwriter) to accelerate coding and engineering workflows, LLM 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., PromptLayer, LangChain, LlamaIndex) to design, test, and optimize AI-assisted workflows, AI-enabled testing and QA tools (e.g., Testim, Mabl, Diffblue, or similar) for automated test generation and quality assurance, AI-powered DevOps and observability tools (e.g., Datadog AIOps, Dynatrace, New Relic AI) for monitoring, incident detection, and performance optimization
• Familiarity with emerging AI capabilities in engineering workflows, including code generation, automated documentation, intelligent debugging, and test case generation
• Ability to evaluate and select AI tools based on use case fit, scalability, security, and integration with existing development ecosystems
• Experience defining and tracking success metrics related to AI adoption in SDLC, such as developer productivity, cycle time reduction, defect rates, and deployment frequency
• Proficiency with product and delivery tools (e.g., Jira) and experience working closely with engineering teams
• Strong stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences
• Strong business acumen and ability to articulate the value of AI-driven improvements in software delivery performance
• Demonstrated ability to mentor and guide teams in adopting AI-enabled development practices, fostering a culture of experimentation and continuous improvement
• Passion for staying current with emerging trends in AI for software engineering, developer experience (DevEx), and product delivery transformation

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 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

Benefits

• Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
• Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses.
• Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year.
• Eligibility for ten weeks of paid parental leave will also be available upon hire date.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees