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West Monroe

Digital consulting for business transformation

Principal AI Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 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.
  • Understanding of modern software development lifecycle practices, including Agile, DevOps, and continuous integration and continuous delivery, with experience improving software delivery performance.
  • Experience using AI-assisted development tools, such as GitHub Copilot, Amazon CodeWhisperer, Cursor, or Replit Ghostwriter, to accelerate coding and engineering workflows.
  • Experience using large language model platforms and application programming interfaces, such as OpenAI, Azure OpenAI, Anthropic Claude, or Google Vertex AI, to prototype and integrate AI capabilities into development processes.
  • Experience with prompt engineering and experimentation tools, such as PromptLayer, LangChain, or LlamaIndex, to design, test, and optimize AI-assisted workflows.
  • Experience with AI-enabled testing and quality assurance tools, such as Testim, Mabl, or Diffblue, for automated test generation and quality assurance.
  • Experience with AI-powered DevOps and observability tools, such as Datadog AIOps, Dynatrace, or 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 the software development lifecycle, such as developer productivity, cycle-time reduction, defect rates, and deployment frequency.
  • Proficiency with product and delivery tools such as Jira, and experience working closely with engineering teams.
  • Ability to manage stakeholders and communicate with technical and non-technical audiences.
  • Business acumen and ability to articulate the value of AI-driven improvements in software delivery performance.
  • Demonstrated ability to mentor and guide teams adopting AI-enabled development practices, fostering experimentation and continuous improvement.
  • Interest in staying current with AI for software engineering, developer experience, and product delivery transformation.

Responsibilities

  • Partner with senior stakeholders to define product strategies that incorporate AI-driven enhancements across the software development lifecycle, improving the 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 use 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, 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 continuous integration and continuous delivery 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 the 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 software development lifecycle, fostering innovation and continuous improvement.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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